A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

S

s - Variable in class de.lmu.ifi.dbs.elki.index.projected.PINN.Parameterizer

Sparsity.

s - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.fitting.LevenbergMarquardtMethod

s - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.SingularValueDecomposition

Array for internal storage of singular values.

s - Variable in class de.lmu.ifi.dbs.elki.math.statistics.intrinsicdimensionality.LMomentsEstimator.ReverseAdapter

Last element

S0 - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.PoissonDistribution

Stirling error constants: 1./12

S1 - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.PoissonDistribution

Stirling error constants: 1./360

S2 - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.PoissonDistribution

Stirling error constants: 1./1260

S3 - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.PoissonDistribution

Stirling error constants: 1./1680

S4 - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.PoissonDistribution

Stirling error constants: 1./1188

S_ID - Static variable in class de.lmu.ifi.dbs.elki.index.projected.PINN.Parameterizer

Sparsity option.

samLMR(A, NumberArrayAdapter<?, A>, int) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.ProbabilityWeightedMoments

Compute the sample L-Moments using probability weighted moments.

sample - Variable in class de.lmu.ifi.dbs.elki.algorithm.KNNDistancesSampler

Sampling percentage.

sample - Variable in class de.lmu.ifi.dbs.elki.result.SamplingResult

The actual selection

sample - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.histogram.ColoredHistogramVisualizer.Instance

Sampling result

sample - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.BoundingBoxVisualization.Instance

Sample we visualize.

sample - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.LineVisualization.Instance

Sample we visualize.

sample - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.AbstractScatterplotVisualization

The DBID sample

SAMPLE_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.initialization.SampleKMeansInitialization.Parameterizer

Parameter to specify the sampling rate.

SAMPLE_ID - Static variable in class de.lmu.ifi.dbs.elki.application.experiments.EvaluateIntrinsicDimensionalityEstimators.Parameterizer

Samples size.

SAMPLE_SIZE_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.uncertain.FDBSCANNeighborPredicate.Parameterizer

Number of samples per uncertain object.

SAMPLE_SIZE_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.DependencyDerivator

Optional parameter to specify the threshold for the size of the random sample to use, must be an integer greater than 0.

SampleKMeansInitialization<V extends NumberVector> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.initialization

Initialize k-means by running k-means on a sample of the data set only.

SampleKMeansInitialization(RandomFactory, KMeans<V, ?>, double) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.initialization.SampleKMeansInitialization

Constructor.

SampleKMeansInitialization.Parameterizer<V extends NumberVector> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.initialization

Parameterization class.

SampleKMeansInitialization.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.initialization.SampleKMeansInitialization.Parameterizer

sampleMinMax(Relation<O>, DistanceQuery<O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.statistics.DistanceStatisticsWithClasses

Estimate minimum and maximum via sampling.

samples - Variable in class de.lmu.ifi.dbs.elki.algorithm.statistics.EstimateIntrinsicDimensionality.Parameterizer

Number of samples to draw.

samples - Variable in class de.lmu.ifi.dbs.elki.algorithm.statistics.EstimateIntrinsicDimensionality

Number of samples to draw.

samples - Variable in class de.lmu.ifi.dbs.elki.application.experiments.EvaluateIntrinsicDimensionalityEstimators.Parameterizer

Benchmark parameters.

samples - Variable in class de.lmu.ifi.dbs.elki.application.experiments.EvaluateIntrinsicDimensionalityEstimators

Benchmark parameters.

samples - Variable in class de.lmu.ifi.dbs.elki.data.uncertain.UnweightedDiscreteUncertainObject

Sample vectors.

samples - Variable in class de.lmu.ifi.dbs.elki.data.uncertain.WeightedDiscreteUncertainObject

Samples

samples - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.uncertain.UncertainSamplesVisualization

Number of samples to draw for uncertain objects.

SAMPLES_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.uncertain.RepresentativeUncertainClustering.Parameterizer

Parameter to specify the amount of clusterings that shall be created and compared.

SAMPLES_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.statistics.EstimateIntrinsicDimensionality.Parameterizer

Number of samples to draw from the data set.

samplesAlgorithm - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.uncertain.RepresentativeUncertainClustering.Parameterizer

Field to store the algorithm.

samplesAlgorithm - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.uncertain.RepresentativeUncertainClustering

The algorithm to be wrapped and run.

sampleSize - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.uncertain.FDBSCAN.Parameterizer

The size of samplesets that should be drawn for neighborcheck.

sampleSize - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.uncertain.FDBSCANNeighborPredicate.Instance

The size of samplesets that should be drawn for neighborcheck.

sampleSize - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.uncertain.FDBSCANNeighborPredicate.Parameterizer

The size of samplesets that should be drawn for neighborcheck.

sampleSize - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.uncertain.FDBSCANNeighborPredicate

The size of samplesets that should be drawn for neighborcheck.

sampleSize - Variable in class de.lmu.ifi.dbs.elki.algorithm.DependencyDerivator.Parameterizer

Sample size.

sampleSize - Variable in class de.lmu.ifi.dbs.elki.algorithm.DependencyDerivator

Holds the value of DependencyDerivator.SAMPLE_SIZE_ID.

samplesize - Variable in class de.lmu.ifi.dbs.elki.algorithm.statistics.EvaluateRetrievalPerformance.RetrievalPerformanceResult

Sample size

sampleSize - Variable in class de.lmu.ifi.dbs.elki.algorithm.statistics.HopkinsStatisticClusteringTendency.Parameterizer

Sample size.

sampleSize - Variable in class de.lmu.ifi.dbs.elki.algorithm.statistics.HopkinsStatisticClusteringTendency

The parameter sampleSizes

samplesize - Variable in class de.lmu.ifi.dbs.elki.utilities.referencepoints.RandomGeneratedReferencePoints.Parameterizer

Holds the value of RandomGeneratedReferencePoints.Parameterizer.N_ID.

samplesize - Variable in class de.lmu.ifi.dbs.elki.utilities.referencepoints.RandomGeneratedReferencePoints

Holds the sample size.

samplesize - Variable in class de.lmu.ifi.dbs.elki.utilities.referencepoints.RandomSampleReferencePoints.Parameterizer

Sample size.

samplesize - Variable in class de.lmu.ifi.dbs.elki.utilities.referencepoints.RandomSampleReferencePoints

Sample size.

samplesize - Variable in class de.lmu.ifi.dbs.elki.visualization.VisualizerParameterizer.Parameterizer

Sampling size

samplesize - Variable in class de.lmu.ifi.dbs.elki.visualization.VisualizerParameterizer

Sample size

SAMPLESIZE_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.CLARA.Parameterizer

The sample size.

SAMPLESIZE_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.statistics.HopkinsStatisticClusteringTendency.Parameterizer

Sample size.

sampling - Variable in class de.lmu.ifi.dbs.elki.algorithm.benchmark.KNNBenchmarkAlgorithm.Parameterizer

Sampling size.

sampling - Variable in class de.lmu.ifi.dbs.elki.algorithm.benchmark.KNNBenchmarkAlgorithm

Sampling size.

sampling - Variable in class de.lmu.ifi.dbs.elki.algorithm.benchmark.RangeQueryBenchmarkAlgorithm.Parameterizer

Sampling size.

sampling - Variable in class de.lmu.ifi.dbs.elki.algorithm.benchmark.RangeQueryBenchmarkAlgorithm

Sampling size.

sampling - Variable in class de.lmu.ifi.dbs.elki.algorithm.benchmark.ValidateApproximativeKNNIndex.Parameterizer

Sampling size.

sampling - Variable in class de.lmu.ifi.dbs.elki.algorithm.benchmark.ValidateApproximativeKNNIndex

Sampling size.

sampling - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.CLARA.Parameterizer

Sampling rate.

sampling - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.CLARA

Sampling rate.

sampling - Variable in class de.lmu.ifi.dbs.elki.algorithm.statistics.AveragePrecisionAtK.Parameterizer

Relative amount of data to sample.

sampling - Variable in class de.lmu.ifi.dbs.elki.algorithm.statistics.AveragePrecisionAtK

Relative number of object to use in sampling.

sampling - Variable in class de.lmu.ifi.dbs.elki.algorithm.statistics.DistanceQuantileSampler.Parameterizer

Sampling rate.

sampling - Variable in class de.lmu.ifi.dbs.elki.algorithm.statistics.DistanceQuantileSampler

Sampling rate.

sampling - Variable in class de.lmu.ifi.dbs.elki.algorithm.statistics.DistanceStatisticsWithClasses.Parameterizer

Sampling.

sampling - Variable in class de.lmu.ifi.dbs.elki.algorithm.statistics.DistanceStatisticsWithClasses

Sampling flag.

sampling - Variable in class de.lmu.ifi.dbs.elki.algorithm.statistics.EvaluateRetrievalPerformance.Parameterizer

Relative amount of data to sample.

sampling - Variable in class de.lmu.ifi.dbs.elki.algorithm.statistics.EvaluateRetrievalPerformance

Relative number of object to use in sampling.

sampling - Variable in class de.lmu.ifi.dbs.elki.algorithm.statistics.RangeQuerySelectivity.Parameterizer

Relative number of object to use in sampling.

sampling - Variable in class de.lmu.ifi.dbs.elki.algorithm.statistics.RangeQuerySelectivity

Relative number of object to use in sampling.

SAMPLING_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.benchmark.KNNBenchmarkAlgorithm.Parameterizer

Parameter for the sampling size.

SAMPLING_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.benchmark.RangeQueryBenchmarkAlgorithm.Parameterizer

Parameter for the sampling size.

SAMPLING_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.benchmark.ValidateApproximativeKNNIndex.Parameterizer

Parameter for the sampling size.

SAMPLING_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.KNNDistancesSampler.Parameterizer

Parameter to specify the average percentage of distances randomly chosen to be provided in the result, must be a double greater than 0 and less than or equal to 1.

SAMPLING_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.statistics.AveragePrecisionAtK.Parameterizer

Parameter to enable sampling.

SAMPLING_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.statistics.DistanceQuantileSampler.Parameterizer

Sampling rate.

SAMPLING_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.statistics.DistanceStatisticsWithClasses.Parameterizer

Flag to enable sampling.

SAMPLING_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.statistics.EvaluateRetrievalPerformance.Parameterizer

Parameter to enable sampling.

SAMPLING_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.statistics.RangeQuerySelectivity.Parameterizer

Parameter to enable sampling.

SAMPLING_ID - Static variable in class de.lmu.ifi.dbs.elki.visualization.VisualizerParameterizer.Parameterizer

Parameter to set the sampling level Key: -vis.sampling

SAMPLINGL_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.LMCLUS.Parameterizer

Sampling intensity level

samplingLevel - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.LMCLUS.Parameterizer

Sampling level

samplingLevel - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.LMCLUS

Number of sampling rounds to find a good split

SamplingResult - Class in de.lmu.ifi.dbs.elki.result

Wrapper for storing the current database sample.

SamplingResult(Relation<?>) - Constructor for class de.lmu.ifi.dbs.elki.result.SamplingResult

Constructor.

sanitizeName(String) - Static method in class de.lmu.ifi.dbs.elki.visualization.css.CSSClass

Return a sanitized version of the given string.

SAV_BORDER - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.AxisVisibilityVisualization.Instance

CSS class for a button border

SAV_BUTTON - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.AxisVisibilityVisualization.Instance

CSS class for a tool button

SAV_CROSS - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.AxisVisibilityVisualization.Instance

CSS class for a button cross

save() - Method in class de.lmu.ifi.dbs.elki.gui.util.SavedSettingsFile

Save the current data to the given file.

saveAsANY(File, int, int, double) - Method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPlot

Save a file trying to auto-guess the file type.

saveAsEPS(File) - Method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPlot

Transcode file to EPS.

saveAsJPEG(File, int, int, double) - Method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPlot

Transcode file to JPEG.

saveAsJPEG(File, int, int) - Method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPlot

Transcode file to JPEG.

saveAsPDF(File) - Method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPlot

Transcode file to PDF.

saveAsPNG(File, int, int) - Method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPlot

Transcode file to PNG.

saveAsPS(File) - Method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPlot

Transcode file to PS.

saveAsSVG(File) - Method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPlot

Save document into a SVG file.

saveCurrentPlot() - Method in class de.lmu.ifi.dbs.elki.visualization.gui.ResultWindow

Save/export the current plot.

saveCurrentPlot() - Method in class de.lmu.ifi.dbs.elki.visualization.gui.SimpleSVGViewer

Save/export the current plot.

SAVED_SETTINGS_FILENAME - Static variable in class de.lmu.ifi.dbs.elki.gui.minigui.MiniGUI

Filename for saved settings.

savedCombo - Variable in class de.lmu.ifi.dbs.elki.gui.minigui.MiniGUI

Combo box for saved settings.

savedCombo - Variable in class de.lmu.ifi.dbs.elki.gui.multistep.panels.SavedSettingsTabPanel

The combo box to use

SavedSettingsFile - Class in de.lmu.ifi.dbs.elki.gui.util

Class to manage saved settings in a text file.

SavedSettingsFile(String) - Constructor for class de.lmu.ifi.dbs.elki.gui.util.SavedSettingsFile

Constructor.

savedSettingsModel - Variable in class de.lmu.ifi.dbs.elki.gui.minigui.MiniGUI

Model to link the combobox with.

savedSettingsModel - Variable in class de.lmu.ifi.dbs.elki.gui.multistep.panels.SavedSettingsTabPanel

Settings combo box.

SavedSettingsTabPanel - Class in de.lmu.ifi.dbs.elki.gui.multistep.panels

Tab panel to manage saved settings.

SavedSettingsTabPanel(SavedSettingsFile, MultiStepGUI) - Constructor for class de.lmu.ifi.dbs.elki.gui.multistep.panels.SavedSettingsTabPanel

Constructor.

SavedSettingsTabPanel.SettingsComboboxModel - Class in de.lmu.ifi.dbs.elki.gui.multistep.panels

Class to interface between the saved settings list and a JComboBox

SavedSettingsTabPanel.SettingsComboboxModel(SavedSettingsFile) - Constructor for class de.lmu.ifi.dbs.elki.gui.multistep.panels.SavedSettingsTabPanel.SettingsComboboxModel

Constructor

SaveOptionsPanel - Class in de.lmu.ifi.dbs.elki.visualization.savedialog

A component (JPanel) which can be displayed in the save dialog to show additional options when saving as JPEG or PNG.

SaveOptionsPanel(JFileChooser, int, int) - Constructor for class de.lmu.ifi.dbs.elki.visualization.savedialog.SaveOptionsPanel

Construct a new Save Options Panel.

scalarProduct(NumberVector, NumberVector) - Static method in class de.lmu.ifi.dbs.elki.data.VectorUtil

Compute the scalar product (inner product) of this and the given DoubleVector.

scalarProduct(double[], double[]) - Static method in class de.lmu.ifi.dbs.elki.math.linearalgebra.VMath

Returns the scalar product (dot product) of this vector and the specified vector v.

scale - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.KDEOS.Parameterizer

Kernel scaling parameter.

scale - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.KDEOS

Kernel scaling parameter.

scale - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.instancewise.Log1PlusNormalization

Boosting factor, and scaling coefficient.

scale - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.GeneralizedLogisticAlternateDistribution.Parameterizer

Parameters.

scale - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.GeneralizedLogisticAlternateDistribution

Parameters: location and scale

scale - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.GeneralizedLogisticDistribution.Parameterizer

Parameters.

scale - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.GeneralizedLogisticDistribution

Parameters: location and scale

scale - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.KappaDistribution.Parameterizer

Parameters.

scale - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.KappaDistribution

Parameters: location and scale

scale - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.LogisticDistribution.Parameterizer

Parameters.

scale - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.LogisticDistribution

Parameters: location and scale

scale - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.LogLogisticDistribution.Parameterizer

Parameters.

scale - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.LogLogisticDistribution

Parameters: scale and shape

scale - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.RayleighDistribution.Parameterizer

Parameters.

SCALE - Variable in class de.lmu.ifi.dbs.elki.math.statistics.kernelfunctions.TricubeKernelDensityFunction

Scaling factor.

scale - Variable in class de.lmu.ifi.dbs.elki.utilities.referencepoints.RandomGeneratedReferencePoints.Parameterizer

Holds the value of RandomGeneratedReferencePoints.Parameterizer.SCALE_ID.

scale - Variable in class de.lmu.ifi.dbs.elki.utilities.referencepoints.RandomGeneratedReferencePoints

Holds the scaling factor.

scale - Variable in class de.lmu.ifi.dbs.elki.utilities.referencepoints.StarBasedReferencePoints.Parameterizer

Holds the value of StarBasedReferencePoints.Parameterizer.SCALE_ID.

scale - Variable in class de.lmu.ifi.dbs.elki.utilities.referencepoints.StarBasedReferencePoints

Scaling factor.

scale - Variable in class de.lmu.ifi.dbs.elki.visualization.opticsplot.OPTICSPlot

Scale to use

SCALE - Static variable in interface de.lmu.ifi.dbs.elki.visualization.projections.Projection

Scaling constant.

SCALE - Static variable in interface de.lmu.ifi.dbs.elki.visualization.style.StyleLibrary

Scaling constant.

SCALE_ID - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.AbstractDistribution.Parameterizer

Scale parameter.

SCALE_ID - Static variable in class de.lmu.ifi.dbs.elki.utilities.referencepoints.RandomGeneratedReferencePoints.Parameterizer

Parameter for additional scaling of the space, to allow out-of-space reference points.

SCALE_ID - Static variable in class de.lmu.ifi.dbs.elki.utilities.referencepoints.StarBasedReferencePoints.Parameterizer

Parameter to specify the extra scaling of the space, to allow out-of-data-space reference points.

scaleBottom - Variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.covertree.AbstractCoverTree

Remaining points are likely identical.

scaledmax - Variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.HeDESNormalizationOutlierScaling

Maximum after scaling

scaledmin - Variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.HeDESNormalizationOutlierScaling

Minimum after scaling

scaleFromPixel(double) - Method in class de.lmu.ifi.dbs.elki.visualization.opticsplot.OPTICSPlot

Scale a pixel value to a reachability

Scales - Class in de.lmu.ifi.dbs.elki.math.scales

Scales helper class.

Scales() - Constructor for class de.lmu.ifi.dbs.elki.math.scales.Scales

Fake constructor.

scales - Variable in class de.lmu.ifi.dbs.elki.result.ScalesResult

The scales in use.

scales - Variable in class de.lmu.ifi.dbs.elki.visualization.projections.AbstractProjection

Scales in data set

scales - Variable in class de.lmu.ifi.dbs.elki.visualization.projections.SimpleParallel

Scales

ScalesResult - Class in de.lmu.ifi.dbs.elki.result

Class to keep shared scales across visualizers.

ScalesResult(Relation<? extends SpatialComparable>) - Constructor for class de.lmu.ifi.dbs.elki.result.ScalesResult

Constructor.

ScalesResult(LinearScale[]) - Constructor for class de.lmu.ifi.dbs.elki.result.ScalesResult

Constructor.

scaleToDist(int) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.covertree.AbstractCoverTree

Convert a scaling factor to a distance.

scaleToPixel(double) - Method in class de.lmu.ifi.dbs.elki.visualization.opticsplot.OPTICSPlot

Scale a reachability distance to a pixel value.

scaleval - Variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.MultiplicativeInverseScaling

Scaling value, set by MultiplicativeInverseScaling.prepare(de.lmu.ifi.dbs.elki.result.outlier.OutlierResult).

scaling - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.meta.ExternalDoubleOutlierScore.Parameterizer

Scaling function to use

scaling - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.meta.ExternalDoubleOutlierScore

Scaling function to use

scaling - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.meta.RescaleMetaOutlierAlgorithm.Parameterizer

Scaling function to use

scaling - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.meta.RescaleMetaOutlierAlgorithm

Scaling function to use

scaling - Variable in class de.lmu.ifi.dbs.elki.application.greedyensemble.ComputeKNNOutlierScores.Parameterizer

Scaling function.

scaling - Variable in class de.lmu.ifi.dbs.elki.application.greedyensemble.ComputeKNNOutlierScores

Scaling function.

scaling - Variable in class de.lmu.ifi.dbs.elki.application.greedyensemble.GreedyEnsembleExperiment.Parameterizer

Outlier scaling to apply to constructed ensembles.

scaling - Variable in class de.lmu.ifi.dbs.elki.application.greedyensemble.GreedyEnsembleExperiment

Outlier scaling to apply to constructed ensembles.

scaling - Variable in class de.lmu.ifi.dbs.elki.evaluation.histogram.ComputeOutlierHistogram.Parameterizer

Scaling function to use

scaling - Variable in class de.lmu.ifi.dbs.elki.evaluation.histogram.ComputeOutlierHistogram

Scaling function to use

scaling - Variable in class de.lmu.ifi.dbs.elki.evaluation.outlier.JudgeOutlierScores.Parameterizer

Scaling function to use

scaling - Variable in class de.lmu.ifi.dbs.elki.evaluation.outlier.JudgeOutlierScores

Scaling function to use

scaling - Variable in class de.lmu.ifi.dbs.elki.evaluation.outlier.OutlierThresholdClustering.Parameterizer

Scaling function to use

scaling - Variable in class de.lmu.ifi.dbs.elki.evaluation.outlier.OutlierThresholdClustering

Scaling function to use

scaling - Variable in class de.lmu.ifi.dbs.elki.evaluation.similaritymatrix.ComputeSimilarityMatrixImage.Parameterizer

Scaling function to use

scaling - Variable in class de.lmu.ifi.dbs.elki.evaluation.similaritymatrix.ComputeSimilarityMatrixImage

Scaling function to use

scaling - Static variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.weightfunctions.GaussStddevWeight

Constant scaling factor of Gaussian distribution.

scaling - Static variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.weightfunctions.QuadraticStddevWeight

Scaling: at scaling * stddev the function will hit 0.0

scaling - Variable in class de.lmu.ifi.dbs.elki.result.KMLOutputHandler.Parameterizer

Scaling function

scaling - Variable in class de.lmu.ifi.dbs.elki.result.KMLOutputHandler

Scaling function

scaling - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.outlier.BubbleVisualization.Parameterizer

Scaling function to use for Bubbles

SCALING_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.meta.ExternalDoubleOutlierScore.Parameterizer

Parameter to specify a scaling function to use.

SCALING_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.meta.RescaleMetaOutlierAlgorithm

Parameter to specify a scaling function to use.

SCALING_ID - Static variable in class de.lmu.ifi.dbs.elki.application.greedyensemble.ComputeKNNOutlierScores.Parameterizer

Option ID for scaling class.

SCALING_ID - Static variable in class de.lmu.ifi.dbs.elki.application.greedyensemble.GreedyEnsembleExperiment.Parameterizer

Scaling to apply to ensemble scores.

SCALING_ID - Static variable in class de.lmu.ifi.dbs.elki.evaluation.histogram.ComputeOutlierHistogram

Parameter to specify a scaling function to use.

SCALING_ID - Static variable in class de.lmu.ifi.dbs.elki.evaluation.outlier.JudgeOutlierScores

Parameter to specify a scaling function to use.

SCALING_ID - Static variable in class de.lmu.ifi.dbs.elki.evaluation.outlier.OutlierThresholdClustering.Parameterizer

Parameter to specify a scaling function to use.

SCALING_ID - Static variable in class de.lmu.ifi.dbs.elki.evaluation.similaritymatrix.ComputeSimilarityMatrixImage

OptionID for the scaling function to use

SCALING_ID - Static variable in class de.lmu.ifi.dbs.elki.result.KMLOutputHandler.Parameterizer

Parameter for scaling functions Key: -kml.scaling

SCALING_ID - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.outlier.BubbleVisualization.Parameterizer

Parameter for scaling functions Key: -bubble.scaling

ScalingFunction - Interface in de.lmu.ifi.dbs.elki.utilities.scaling

Interface for scaling functions used e.g. by outlier evaluation such as Histograms and visualization.

scalingreference - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.transform.PerturbationFilter.Parameterizer

The option which reference to use for scaling the noise.

scalingreference - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.transform.PerturbationFilter

Which reference to use for scaling the noise.

SCALINGREFERENCE_ID - Static variable in class de.lmu.ifi.dbs.elki.datasource.filter.transform.PerturbationFilter.Parameterizer

Parameter for selecting scaling reference.

scalingreferencevalues - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.transform.PerturbationFilter

Stores the scaling reference in each dimension.

scan(HilOut<O>.HilbertFeatures, int) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.distance.HilOut

Scan function performs a squential scan over the data.

scannedBytes - Variable in class de.lmu.ifi.dbs.elki.index.vafile.PartialVAFile.Statistics

scans - Variable in class de.lmu.ifi.dbs.elki.index.vafile.VAFile

Number of scans we performed.

ScatterPlotFactory - Class in de.lmu.ifi.dbs.elki.visualization.projector

Produce scatterplot projections.

ScatterPlotFactory(int) - Constructor for class de.lmu.ifi.dbs.elki.visualization.projector.ScatterPlotFactory

Constructor.

ScatterPlotFactory.Parameterizer - Class in de.lmu.ifi.dbs.elki.visualization.projector

Parameterization class.

ScatterPlotFactory.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.visualization.projector.ScatterPlotFactory.Parameterizer

ScatterPlotProjector<V extends SpatialComparable> - Class in de.lmu.ifi.dbs.elki.visualization.projector

ScatterPlotProjector is responsible for producing a set of scatterplot visualizations.

ScatterPlotProjector(Relation<V>, int) - Constructor for class de.lmu.ifi.dbs.elki.visualization.projector.ScatterPlotProjector

Constructor.

scheduleSetPlot(SVGPlot, SVGPlot) - Method in class de.lmu.ifi.dbs.elki.visualization.batikutil.JSVGSynchronizedCanvas

Schedule a detach.

scheduleUpdate(Runnable) - Method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPlot

Schedule an update.

SCORE_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.meta.ExternalDoubleOutlierScore.Parameterizer

Parameter that specifies the object score pattern Key: -externaloutlier.scorepattern

ScoreEvaluation - Interface in de.lmu.ifi.dbs.elki.evaluation.scores

Compute ranking/scoring based evaluation measures.

ScoreEvaluation.Predicate<T> - Interface in de.lmu.ifi.dbs.elki.evaluation.scores

Predicate to test whether an object is a true positive or false positive.

ScoreEvaluation.ScoreIter - Interface in de.lmu.ifi.dbs.elki.evaluation.scores

Iterator for comparing scores.

scorepattern - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.meta.ExternalDoubleOutlierScore.Parameterizer

object score pattern

scorepattern - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.meta.ExternalDoubleOutlierScore

object score pattern

scores - Variable in class de.lmu.ifi.dbs.elki.database.datastore.DataStoreUtil.AscendingByDoubleDataStore

Scores to use for sorting.

scores - Variable in class de.lmu.ifi.dbs.elki.database.datastore.DataStoreUtil.AscendingByDoubleDataStoreAndId

Scores to use for sorting.

scores - Variable in class de.lmu.ifi.dbs.elki.database.datastore.DataStoreUtil.DescendingByDoubleDataStore

Scores to use for sorting.

scores - Variable in class de.lmu.ifi.dbs.elki.database.datastore.DataStoreUtil.DescendingByDoubleDataStoreAndId

Scores to use for sorting.

scores - Variable in class de.lmu.ifi.dbs.elki.database.relation.RelationUtil.AscendingByDoubleRelation

Scores to use for sorting.

scores - Variable in class de.lmu.ifi.dbs.elki.database.relation.RelationUtil.DescendingByDoubleRelation

Scores to use for sorting.

scores - Variable in class de.lmu.ifi.dbs.elki.evaluation.scores.adapter.OutlierScoreAdapter

Outlier score.

scores - Variable in class de.lmu.ifi.dbs.elki.result.outlier.OrderingFromRelation

Outlier scores.

scores - Variable in class de.lmu.ifi.dbs.elki.result.outlier.OutlierResult

Outlier scores.

scores - Variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.LogRankingPseudoOutlierScaling

The actual scores

scores - Variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.RankingPseudoOutlierScaling

The actual scores

screenheight - Variable in class de.lmu.ifi.dbs.elki.visualization.gui.overview.OverviewPlot

Screen size (used for thumbnail sizing)

screenwidth - Variable in class de.lmu.ifi.dbs.elki.visualization.gui.overview.OverviewPlot

Screen size (used for thumbnail sizing)

scroller - Variable in class de.lmu.ifi.dbs.elki.gui.util.TreePopup

Scroll pane, containing the tree.

SDO_ARROW - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.AxisReorderVisualization.Instance

CSS class for a button cross

SDO_BORDER - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.AxisReorderVisualization.Instance

CSS class for a button border

SDO_BUTTON - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.AxisReorderVisualization.Instance

CSS class for a tool button

second - Variable in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDPair.Itr

State

second - Variable in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDPair

Second value in pair

second - Variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints.LessEqualGlobalConstraint

Second number parameter.

second - Variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints.LessGlobalConstraint

Second number parameter.

second - Variable in class de.lmu.ifi.dbs.elki.utilities.pairs.DoubleDoublePair

second value

second - Variable in class de.lmu.ifi.dbs.elki.utilities.pairs.DoubleIntPair

second value

second - Variable in class de.lmu.ifi.dbs.elki.utilities.pairs.DoubleObjPair

Second object value

second - Variable in class de.lmu.ifi.dbs.elki.utilities.pairs.IntDoublePair

second value

second - Variable in class de.lmu.ifi.dbs.elki.utilities.pairs.IntIntPair

second value

second - Variable in class de.lmu.ifi.dbs.elki.utilities.pairs.Pair

Second value in pair

SECOND_REFERENCE - Static variable in class de.lmu.ifi.dbs.elki.index.idistance.InMemoryIDistanceIndex

Second reference, for documentation generation.

secondAssignments - Variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.strategies.split.Assignments

The assignments to the second routing object.

secondReference() - Static method in class de.lmu.ifi.dbs.elki.distance.distancefunction.BrayCurtisDistanceFunction

Dummy method, just to attach a second reference.

secondReference() - Static method in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.COPOutlierScaling

Secondary reference.

seed - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.uncertain.FDBSCAN.Parameterizer

Random generator.

seed - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.uncertain.FDBSCANNeighborPredicate.Parameterizer

Random generator.

seed - Variable in class de.lmu.ifi.dbs.elki.algorithm.statistics.AveragePrecisionAtK.Parameterizer

Random sampling seed.

seed - Variable in class de.lmu.ifi.dbs.elki.algorithm.statistics.EvaluateRetrievalPerformance.Parameterizer

Random sampling seed.

seed - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.transform.PerturbationFilter.Parameterizer

Seed for randomly shuffling the rows of the database.

seed - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.RandomStableDistanceFunction

Seed for reproducible random.

seed - Variable in class de.lmu.ifi.dbs.elki.math.random.FastNonThreadsafeRandom

The random seed.

seed - Variable in class de.lmu.ifi.dbs.elki.math.random.RandomFactory

Seed.

seed - Variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.RandomParameter

Seed value, if used

SEED_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.ORCLUS.Parameterizer

Parameter to specify the random generator seed.

SEED_ID - Static variable in interface de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMeans

Parameter to specify the random generator seed.

SEED_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.XMeans.Parameterizer

Randomization seed.

SEED_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.PROCLUS.Parameterizer

Parameter to specify the random generator seed.

SEED_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.uncertain.FDBSCANNeighborPredicate.Parameterizer

Seed for random sample draw.

SEED_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.KNNDistancesSampler.Parameterizer

Random generator seed for distances.

SEED_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.ALOCI.Parameterizer

Parameter to specify the seed to initialize Random.

SEED_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.meta.FeatureBagging.Parameterizer

The parameter to specify the random seed.

SEED_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.meta.HiCS.Parameterizer

Parameter that specifies the random seed.

SEED_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.subspace.AggarwalYuEvolutionary.Parameterizer

Parameter to specify the random generator seed.

SEED_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.statistics.AveragePrecisionAtK.Parameterizer

Parameter to control the sampling random seed.

SEED_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.statistics.DistanceQuantileSampler.Parameterizer

Random generator seed.

SEED_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.statistics.EvaluateRetrievalPerformance.Parameterizer

Parameter to control the sampling random seed.

SEED_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.statistics.HopkinsStatisticClusteringTendency.Parameterizer

Parameter to specify the random generator seed.

SEED_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.statistics.RangeQuerySelectivity.Parameterizer

Parameter to control the sampling random seed.

SEED_ID - Static variable in class de.lmu.ifi.dbs.elki.application.experiments.EvaluateIntrinsicDimensionalityEstimators.Parameterizer

Random seed.

SEED_ID - Static variable in class de.lmu.ifi.dbs.elki.datasource.filter.selection.RandomSamplingStreamFilter.Parameterizer

Option ID for random seed

SEED_ID - Static variable in class de.lmu.ifi.dbs.elki.datasource.filter.selection.ShuffleObjectsFilter.Parameterizer

Optional parameter to specify a seed for randomly shuffling the rows of the database.

SEED_ID - Static variable in class de.lmu.ifi.dbs.elki.datasource.filter.transform.HistogramJitterFilter.Parameterizer

Option ID for the jitter random seed.

SEED_ID - Static variable in class de.lmu.ifi.dbs.elki.datasource.filter.transform.NumberVectorRandomFeatureSelectionFilter.Parameterizer

Optional parameter to specify a seed for random projection.

SEED_ID - Static variable in class de.lmu.ifi.dbs.elki.datasource.filter.transform.PerturbationFilter.Parameterizer

Optional parameter to specify a seed for random Gaussian noise generation.

SEED_ID - Static variable in class de.lmu.ifi.dbs.elki.datasource.filter.typeconversions.UncertainifyFilter.Parameterizer

Seed for random generation.

SEED_ID - Static variable in class de.lmu.ifi.dbs.elki.datasource.RandomDoubleVectorDatabaseConnection.Parameterizer

Random generator seed.

SEED_ID - Static variable in class de.lmu.ifi.dbs.elki.evaluation.classification.holdout.RandomizedHoldout.Parameterizer

Random seeding for holdout evaluation.

SEED_ID - Static variable in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.PartitionApproximationMaterializeKNNPreprocessor.Factory.Parameterizer

Parameter to specify the random number generator.

SEED_ID - Static variable in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.RandomSampleKNNPreprocessor.Factory.Parameterizer

Random number generator seed.

SEED_ID - Static variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.RANSACCovarianceMatrixBuilder.Parameterizer

Random seed

seek(int) - Method in interface de.lmu.ifi.dbs.elki.database.ids.DBIDArrayIter

seek(int) - Method in interface de.lmu.ifi.dbs.elki.database.ids.DoubleDBIDListIter

seek(int) - Method in class de.lmu.ifi.dbs.elki.database.ids.EmptyDBIDs.EmptyDBIDIterator

seek(int) - Method in class de.lmu.ifi.dbs.elki.database.ids.generic.KNNSubList.Itr

seek(int) - Method in class de.lmu.ifi.dbs.elki.database.ids.generic.UnmodifiableArrayDBIDs.UnmodifiableDBIDArrayIter

seek(int) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.ArrayModifiableIntegerDBIDs.Itr

seek(int) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.ArrayModifiableIntegerDBIDs.Slice.SliceItr

seek(int) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.ArrayStaticIntegerDBIDs.Itr

seek(int) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.ArrayStaticIntegerDBIDs.Slice.SliceItr

seek(int) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDList.Itr

seek(int) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDPairKNNListHeap.Itr

seek(int) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDPairList.Itr

seek(int) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBID.Itr

seek(int) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDKNNSubList.Itr

seek(int) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDPair.Itr

seek(int) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDPair.Slice.SliceItr

seek(int) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDRange.Itr

seek(int) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDVar.Itr

seek(int) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.UnmodifiableIntegerArrayDBIDs.UnmodifiableDBIDIter

seek(int) - Method in class de.lmu.ifi.dbs.elki.evaluation.scores.adapter.AbstractVectorIter

seek(int) - Method in class de.lmu.ifi.dbs.elki.evaluation.scores.adapter.DecreasingVectorIter

seek(int) - Method in class de.lmu.ifi.dbs.elki.evaluation.scores.adapter.IncreasingVectorIter

seek(int) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.AbstractStaticHistogram.Iter

seek(int) - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.iterator.ArrayIter

Moves the iterator to the given position

seek(int) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.iterator.ArrayListIter

SEG_UNPAIRED_SELECTED_CLASS - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.pairsegments.CircleSegmentsVisualizer.Instance

CSS class of selected Segment

Segment - Class in de.lmu.ifi.dbs.elki.evaluation.clustering.pairsegments

A segment represents a set of pairs that share the same clustering properties.

Segment(int) - Constructor for class de.lmu.ifi.dbs.elki.evaluation.clustering.pairsegments.Segment

Segment(int[]) - Constructor for class de.lmu.ifi.dbs.elki.evaluation.clustering.pairsegments.Segment

Constructor.

SEGMENT_MIN_ANGLE - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.pairsegments.CircleSegmentsVisualizer.Instance

Minimum width (radian) of Segment

SEGMENT_MIN_SEP_ANGLE - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.pairsegments.CircleSegmentsVisualizer.Instance

Gap (radian) between segments

segmentClick(Segment, Event, boolean) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.pairsegments.CircleSegmentsVisualizer.Instance

segmentHover(Segment, int, boolean) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.pairsegments.CircleSegmentsVisualizer.Instance

Segments - Class in de.lmu.ifi.dbs.elki.evaluation.clustering.pairsegments

Creates segments of two or more clusterings.

Segments(List<Clustering<?>>) - Constructor for class de.lmu.ifi.dbs.elki.evaluation.clustering.pairsegments.Segments

Initialize segments.

segments - Variable in class de.lmu.ifi.dbs.elki.evaluation.clustering.pairsegments.Segments

The actual segments

segments - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.pairsegments.CircleSegmentsVisualizer.Instance

Segmentation of Clusterings

segments - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.pairsegments.SegmentsStylingPolicy

The segments we use for visualization

SegmentsStylingPolicy - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.pairsegments

Styling policy to communicate the segment selection to other visualizers.

SegmentsStylingPolicy(Segments) - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.pairsegments.SegmentsStylingPolicy

Constructor.

segmentToElements - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.pairsegments.CircleSegmentsVisualizer.Instance

Map to connect segments to their visual elements

selbg - Variable in class de.lmu.ifi.dbs.elki.gui.util.TreePopup.Renderer

Colors

selcss - Variable in class de.lmu.ifi.dbs.elki.visualization.gui.overview.OverviewPlot

The CSS class used on "selectable" rectangles.

select(Segment, boolean) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.pairsegments.SegmentsStylingPolicy

Adds or removes the given segment to the selection.

SELECTAXISVISIBILITY - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.AxisVisibilityVisualization.Instance

Generic tags to indicate the type of element.

selectColumn(int, boolean) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.biclustering.ChengAndChurch.BiclusterCandidate

Select or deselect a column.

SELECTDIMENSIONORDER - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.AxisReorderVisualization.Instance

Generic tags to indicate the type of element.

SELECTED - Static variable in interface de.lmu.ifi.dbs.elki.algorithm.clustering.biclustering.ChengAndChurch.CellVisitor

Different modes of operation.

selected - Variable in class de.lmu.ifi.dbs.elki.gui.minigui.MiniGUI.SettingsComboboxModel

Selected entry.

selected - Variable in class de.lmu.ifi.dbs.elki.gui.multistep.panels.SavedSettingsTabPanel.SettingsComboboxModel

Selected entry

SELECTED_ATTRIBUTES_ID - Static variable in class de.lmu.ifi.dbs.elki.datasource.filter.transform.NumberVectorFeatureSelectionFilter.Parameterizer

Selected attributes parameter.

SELECTED_ATTRIBUTES_ID - Static variable in class de.lmu.ifi.dbs.elki.datasource.filter.typeconversions.SplitNumberVectorFilter.Parameterizer

The parameter listing the split dimensions.

selectedAttributes - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.transform.NumberVectorFeatureSelectionFilter.Parameterizer

Selected attributes.

selectedAttributes - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.transform.NumberVectorFeatureSelectionFilter

Keeps the selection of the subspace to project onto.

selectedAttributes - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.transform.NumberVectorRandomFeatureSelectionFilter

The selected attributes.

selecteddim - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.AxisReorderVisualization.Instance

Currently selected dimension.

SELECTEDHULL - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection.SelectionConvexHullVisualization.Instance

Generic tag to indicate the type of element.

selectedIds - Variable in class de.lmu.ifi.dbs.elki.result.DBIDSelection

Selected IDs

selectedSegments - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.pairsegments.SegmentsStylingPolicy

Selected segments

selection - Variable in class de.lmu.ifi.dbs.elki.result.SelectionResult

The actual selection

SELECTION - Static variable in interface de.lmu.ifi.dbs.elki.visualization.style.StyleLibrary

Selection color and opacity

selection - Variable in class de.lmu.ifi.dbs.elki.visualization.VisualizerContext

Selection result

SELECTION_ACTIVE - Static variable in interface de.lmu.ifi.dbs.elki.visualization.style.StyleLibrary

Selection color and opacity during selecting process

SelectionAxisRangeVisualization - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.selection

Visualizer for generating an SVG-Element representing the selected range.

SelectionAxisRangeVisualization() - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.selection.SelectionAxisRangeVisualization

Constructor.

SelectionAxisRangeVisualization.Instance - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.selection

Instance

SelectionAxisRangeVisualization.Instance(VisualizationTask, VisualizationPlot, double, double, Projection) - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.selection.SelectionAxisRangeVisualization.Instance

Constructor.

SelectionConvexHullVisualization - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection

Visualizer for generating an SVG-Element containing the convex hull of the selected points

SelectionConvexHullVisualization() - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection.SelectionConvexHullVisualization

Constructor

SelectionConvexHullVisualization.Instance - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection

Instance

SelectionConvexHullVisualization.Instance(VisualizationTask, VisualizationPlot, double, double, Projection) - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection.SelectionConvexHullVisualization.Instance

Constructor.

SelectionCubeVisualization - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection

Visualizer for generating an SVG-Element containing a cube as marker representing the selected range for each dimension

SelectionCubeVisualization(SelectionCubeVisualization.Parameterizer) - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection.SelectionCubeVisualization

Constructor.

SelectionCubeVisualization.Instance - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection

Instance.

SelectionCubeVisualization.Instance(VisualizationTask, VisualizationPlot, double, double, Projection) - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection.SelectionCubeVisualization.Instance

Constructor.

SelectionCubeVisualization.Parameterizer - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection

Parameterization class.

SelectionCubeVisualization.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection.SelectionCubeVisualization.Parameterizer

SelectionDotVisualization - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection

Visualizer for generating an SVG-Element containing dots as markers representing the selected Database's objects.

SelectionDotVisualization() - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection.SelectionDotVisualization

Constructor

SelectionDotVisualization.Instance - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection

Instance

SelectionDotVisualization.Instance(VisualizationTask, VisualizationPlot, double, double, Projection) - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection.SelectionDotVisualization.Instance

Constructor.

SelectionLineVisualization - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.selection

Visualizer for generating SVG-Elements representing the selected objects

SelectionLineVisualization() - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.selection.SelectionLineVisualization

Constructor.

SelectionLineVisualization.Instance - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.selection

Instance

SelectionLineVisualization.Instance(VisualizationTask, VisualizationPlot, double, double, Projection) - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.selection.SelectionLineVisualization.Instance

Constructor.

selectionMatrixOfStrongEigenvectors() - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PCAFilteredResult

Returns the selection matrix of the strong eigenvectors (E_czech) of this LocalPCA.

selectionMatrixOfWeakEigenvectors() - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PCAFilteredResult

Returns the selection matrix of the weak eigenvectors (E_hat) of the object to which this PCA belongs to.

SelectionResult - Class in de.lmu.ifi.dbs.elki.result

Selection result wrapper.

SelectionResult() - Constructor for class de.lmu.ifi.dbs.elki.result.SelectionResult

Constructor.

SelectionTableWindow - Class in de.lmu.ifi.dbs.elki.visualization.gui

Visualizes selected Objects in a JTable, objects can be selected, changed and deleted

SelectionTableWindow(VisualizerContext) - Constructor for class de.lmu.ifi.dbs.elki.visualization.gui.SelectionTableWindow

The actual visualization instance, for a single projection

SelectionTableWindow.DatabaseTableModel - Class in de.lmu.ifi.dbs.elki.visualization.gui

View onto the database

SelectionTableWindow.DatabaseTableModel() - Constructor for class de.lmu.ifi.dbs.elki.visualization.gui.SelectionTableWindow.DatabaseTableModel

SelectionToolAxisRangeVisualization - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.selection

Tool-Visualization for the tool to select axis ranges

SelectionToolAxisRangeVisualization() - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.selection.SelectionToolAxisRangeVisualization

Constructor.

SelectionToolAxisRangeVisualization.Instance - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.selection

Instance

SelectionToolAxisRangeVisualization.Instance(VisualizationTask, VisualizationPlot, double, double, Projection) - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.selection.SelectionToolAxisRangeVisualization.Instance

Constructor.

SelectionToolCubeVisualization - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection

Tool-Visualization for the tool to select ranges.

SelectionToolCubeVisualization() - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection.SelectionToolCubeVisualization

Constructor.

SelectionToolCubeVisualization.Instance - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection

Instance.

SelectionToolCubeVisualization.Instance(VisualizationTask, VisualizationPlot, double, double, Projection) - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection.SelectionToolCubeVisualization.Instance

Constructor.

SelectionToolDotVisualization - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection

Tool-Visualization for the tool to select objects

SelectionToolDotVisualization() - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection.SelectionToolDotVisualization

Constructor.

SelectionToolDotVisualization.Instance - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection

Instance

SelectionToolDotVisualization.Instance(VisualizationTask, VisualizationPlot, double, double, Projection) - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection.SelectionToolDotVisualization.Instance

Constructor.

SelectionToolDotVisualization.Mode - Enum in de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection

Input modes

SelectionToolDotVisualization.Mode() - Constructor for enum de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection.SelectionToolDotVisualization.Mode

SelectionToolLineVisualization - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.selection

Tool-Visualization for the tool to select objects

SelectionToolLineVisualization() - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.selection.SelectionToolLineVisualization

Constructor.

SelectionToolLineVisualization.Instance - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.selection

Instance.

SelectionToolLineVisualization.Instance(VisualizationTask, VisualizationPlot, double, double, Projection) - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.selection.SelectionToolLineVisualization.Instance

Constructor.

SelectionToolLineVisualization.Mode - Enum in de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.selection

Input modes

SelectionToolLineVisualization.Mode() - Constructor for enum de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.selection.SelectionToolLineVisualization.Mode

selectivity(double) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.clique.CLIQUEUnit

Returns the selectivity of this unit, which is defined as the fraction of total feature vectors contained in this unit.

selectRow(int, boolean) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.biclustering.ChengAndChurch.BiclusterCandidate

Select or deselect a row.

selectSegment(Segment) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.pairsegments.SegmentsStylingPolicy

Select a segment

selfg - Variable in class de.lmu.ifi.dbs.elki.gui.util.TreePopup.Renderer

Colors

SELFPAIR_ID - Static variable in class de.lmu.ifi.dbs.elki.evaluation.clustering.EvaluateClustering

Parameter flag to disable self-pairing

selfPairing - Variable in class de.lmu.ifi.dbs.elki.evaluation.clustering.ClusterContingencyTable

Self pairing

selfPairing - Variable in class de.lmu.ifi.dbs.elki.evaluation.clustering.EvaluateClustering.Parameterizer

selfPairing - Variable in class de.lmu.ifi.dbs.elki.evaluation.clustering.EvaluateClustering

Use self-pairing in pair-counting measures

send - Variable in class de.lmu.ifi.dbs.elki.utilities.io.Tokenizer

Substring to process.

sensitivityThreshold - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.LMCLUS

The current threshold value calculated by the findSeperation Method.

SEPARATOR - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.optics.CorrelationClusterOrder

The component separator used by correlation distances.

SEPARATOR - Static variable in class de.lmu.ifi.dbs.elki.result.textwriter.TextWriterStream

String to separate different entries while printing.

separatorPattern - Variable in class de.lmu.ifi.dbs.elki.data.HierarchicalClassLabel

Holds the Pattern to separate different levels parsing input.

separatorString - Variable in class de.lmu.ifi.dbs.elki.data.HierarchicalClassLabel

A String to separate different levels in a String representation of this HierarchicalClassLabel.

sequence(int, int) - Static method in class de.lmu.ifi.dbs.elki.math.MathUtil

Generate an array of integers.

SER_MARKER - Static variable in class de.lmu.ifi.dbs.elki.result.textwriter.TextWriterStream

Marker used in text serialization (and re-parsing)

serialize() - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.ListParameterization

Serialize parameters.

serialize(StringBuilder) - Method in class de.lmu.ifi.dbs.elki.visualization.css.CSSClassManager

Serialize managed CSS classes to rule file.

SerializedParameterization - Class in de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization

Manage a parameterization serialized as String array, e.g. from command line.

SerializedParameterization() - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.SerializedParameterization

Constructor

SerializedParameterization(String[]) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.SerializedParameterization

Constructor

SerializedParameterization(List<String>) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.SerializedParameterization

Constructor

serializeParameters() - Method in class de.lmu.ifi.dbs.elki.gui.multistep.MultiStepGUI

Get the serialized parameters

serializeParameters(ArrayList<String>) - Method in class de.lmu.ifi.dbs.elki.gui.util.DynamicParameters

Serialize parameters into an array list to pass to setParameters()

SERIALIZER - Static variable in class de.lmu.ifi.dbs.elki.data.LabelList

Serializer.

SERIALIZER - Static variable in class de.lmu.ifi.dbs.elki.data.SimpleClassLabel

Serializer.

serializer - Variable in class de.lmu.ifi.dbs.elki.data.type.SimpleTypeInformation

Type serializer.

serialVersionUID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.cash.CASHInterval

Serial version number.

serialVersionUID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.meta.HiCS.HiCSSubspace

Serial version.

serialVersionUID - Static variable in exception de.lmu.ifi.dbs.elki.application.jsmap.JSONBuffer.JSONException

Serial version

serialVersionUID - Static variable in class de.lmu.ifi.dbs.elki.data.Bit

Generated serial version UID.

serialVersionUID - Static variable in class de.lmu.ifi.dbs.elki.data.HyperBoundingBox

Serial version.

serialVersionUID - Static variable in class de.lmu.ifi.dbs.elki.data.ModifiableHyperBoundingBox

Serial version.

serialVersionUID - Static variable in exception de.lmu.ifi.dbs.elki.data.type.NoSupportedDataTypeException

Serial version.

serialVersionUID - Static variable in class de.lmu.ifi.dbs.elki.datasource.bundle.BundleMeta

Serial version

serialVersionUID - Static variable in exception de.lmu.ifi.dbs.elki.datasource.filter.normalization.NonNumericFeaturesException

Generated serial version UID.

serialVersionUID - Static variable in class de.lmu.ifi.dbs.elki.gui.configurator.ConfiguratorPanel

Serial version

serialVersionUID - Static variable in class de.lmu.ifi.dbs.elki.gui.minigui.MiniGUI.SettingsComboboxModel

Serial version.

serialVersionUID - Static variable in class de.lmu.ifi.dbs.elki.gui.multistep.panels.AlgorithmTabPanel

Serial version.

serialVersionUID - Static variable in class de.lmu.ifi.dbs.elki.gui.multistep.panels.EvaluationTabPanel

Serial version.

serialVersionUID - Static variable in class de.lmu.ifi.dbs.elki.gui.multistep.panels.InputTabPanel

Serial version.

serialVersionUID - Static variable in class de.lmu.ifi.dbs.elki.gui.multistep.panels.LoggingTabPanel

Serial version.

serialVersionUID - Static variable in class de.lmu.ifi.dbs.elki.gui.multistep.panels.OutputTabPanel

Serial version.

serialVersionUID - Static variable in class de.lmu.ifi.dbs.elki.gui.multistep.panels.ParameterTabPanel

Serial version

serialVersionUID - Static variable in class de.lmu.ifi.dbs.elki.gui.multistep.panels.SavedSettingsTabPanel

Serial version

serialVersionUID - Static variable in class de.lmu.ifi.dbs.elki.gui.multistep.panels.SavedSettingsTabPanel.SettingsComboboxModel

Serial version

serialVersionUID - Static variable in class de.lmu.ifi.dbs.elki.gui.util.ClassTree.ClassNode

Serial version

serialVersionUID - Static variable in class de.lmu.ifi.dbs.elki.gui.util.ClassTree.PackageNode

Serial version

serialVersionUID - Static variable in class de.lmu.ifi.dbs.elki.gui.util.LogPane

Serialization version number

serialVersionUID - Static variable in class de.lmu.ifi.dbs.elki.gui.util.LogPanel

Serial

serialVersionUID - Static variable in class de.lmu.ifi.dbs.elki.gui.util.ParametersModel

Serial version

serialVersionUID - Static variable in class de.lmu.ifi.dbs.elki.gui.util.ParameterTable.AdjustingEditor

Serial version

serialVersionUID - Static variable in class de.lmu.ifi.dbs.elki.gui.util.ParameterTable.ClassListEditor

Serial version number

serialVersionUID - Static variable in class de.lmu.ifi.dbs.elki.gui.util.ParameterTable.ColorfulRenderer

Serial Version

serialVersionUID - Static variable in class de.lmu.ifi.dbs.elki.gui.util.ParameterTable.DispatchingPanel

Serial version.

serialVersionUID - Static variable in class de.lmu.ifi.dbs.elki.gui.util.ParameterTable.DropdownEditor

Serial Version

serialVersionUID - Static variable in class de.lmu.ifi.dbs.elki.gui.util.ParameterTable.FileNameEditor

Serial version number

serialVersionUID - Static variable in class de.lmu.ifi.dbs.elki.gui.util.ParameterTable

Serial version

serialVersionUID - Static variable in class de.lmu.ifi.dbs.elki.gui.util.TreePopup.Renderer

Serial version

serialVersionUID - Static variable in class de.lmu.ifi.dbs.elki.gui.util.TreePopup

Serialization version.

serialVersionUID - Static variable in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.KNNChangeEvent

Serialization ID since Java EventObjects are expected to be serializable.

serialVersionUID - Static variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppDirectoryEntry

Serial version UID

serialVersionUID - Static variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppLeafEntry

Serial Version UID

serialVersionUID - Static variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppTreeNode

serialVersionUID - Static variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp.PolynomialApproximation

serialVersionUID - Static variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop.ApproximationLine

serialVersionUID - Static variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPDirectoryEntry

Serialization version number.

serialVersionUID - Static variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPLeafEntry

Serialization version ID.

serialVersionUID - Static variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPTreeNode

Serial version UID

serialVersionUID - Static variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax.MkMaxDirectoryEntry

Serial version UID

serialVersionUID - Static variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax.MkMaxLeafEntry

Serial version number

serialVersionUID - Static variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax.MkMaxTreeNode

Serial version

serialVersionUID - Static variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab.MkTabDirectoryEntry

serialVersionUID - Static variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab.MkTabLeafEntry

serialVersionUID - Static variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab.MkTabTreeNode

serialVersionUID - Static variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mtree.MTreeNode

Serial version

serialVersionUID - Static variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.MTreeDirectoryEntry

serialVersionUID - Static variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.MTreeLeafEntry

Serialization version ID.

serialVersionUID - Static variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu.DeLiCluDirectoryEntry

serialVersionUID - Static variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu.DeLiCluLeafEntry

serialVersionUID - Static variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu.DeLiCluNode

serialVersionUID - Static variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.flat.FlatRStarTreeNode

Serial version

serialVersionUID - Static variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn.RdKNNDirectoryEntry

serialVersionUID - Static variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn.RdKNNLeafEntry

serialVersionUID - Static variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn.RdKNNNode

serialVersionUID - Static variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rstar.RStarTreeNode

serialVersionUID - Static variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.SpatialDirectoryEntry

serialVersionUID - Static variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.SpatialPointLeafEntry

Serial version.

serialVersionUID - Static variable in class de.lmu.ifi.dbs.elki.logging.ELKILogRecord

Serial Version UID

serialVersionUID - Static variable in class de.lmu.ifi.dbs.elki.logging.Logging.Level

Serial version.

serialVersionUID - Static variable in class de.lmu.ifi.dbs.elki.logging.progress.ProgressLogRecord

Serial version

serialVersionUID - Static variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.EigenvalueDecomposition

Serial version

serialVersionUID - Static variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.LUDecomposition

Serial version

serialVersionUID - Static variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.QRDecomposition

Serial version

serialVersionUID - Static variable in class de.lmu.ifi.dbs.elki.math.random.FastNonThreadsafeRandom

Serial version number.

serialVersionUID - Static variable in class de.lmu.ifi.dbs.elki.math.random.XorShift1024NonThreadsafeRandom

Serial version number.

serialVersionUID - Static variable in class de.lmu.ifi.dbs.elki.math.random.XorShift64NonThreadsafeRandom

Serial version number.

serialVersionUID - Static variable in class de.lmu.ifi.dbs.elki.persistent.AbstractExternalizablePage

Serial version

serialVersionUID - Static variable in class de.lmu.ifi.dbs.elki.persistent.OnDiskArray

Serial version.

serialVersionUID - Static variable in class de.lmu.ifi.dbs.elki.persistent.OnDiskUpperTriangleMatrix

Serial number, also used for generating a magic

serialVersionUID - Static variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.hash.Unique

Serial version number.

serialVersionUID - Static variable in exception de.lmu.ifi.dbs.elki.utilities.exceptions.AbortException

Serial UID.

serialVersionUID - Static variable in exception de.lmu.ifi.dbs.elki.utilities.exceptions.APIViolationException

Serial version

serialVersionUID - Static variable in exception de.lmu.ifi.dbs.elki.utilities.exceptions.NotImplementedException

Serial version.

serialVersionUID - Static variable in exception de.lmu.ifi.dbs.elki.utilities.exceptions.ObjectNotFoundException

Serial version

serialVersionUID - Static variable in exception de.lmu.ifi.dbs.elki.utilities.optionhandling.InternalParameterizationErrors

Serial version ID

serialVersionUID - Static variable in exception de.lmu.ifi.dbs.elki.utilities.optionhandling.NoParameterValueException

Serial version UID

serialVersionUID - Static variable in exception de.lmu.ifi.dbs.elki.utilities.optionhandling.UnspecifiedParameterException

Serial UID

serialVersionUID - Static variable in exception de.lmu.ifi.dbs.elki.utilities.optionhandling.WrongParameterValueException

Generated serial version UID.

serialVersionUID - Static variable in class de.lmu.ifi.dbs.elki.visualization.batikutil.JSVGSynchronizedCanvas

Serial version number.

serialVersionUID - Static variable in exception de.lmu.ifi.dbs.elki.visualization.css.CSSClass.InvalidCSS

Serial version UID.

serialVersionUID - Static variable in exception de.lmu.ifi.dbs.elki.visualization.css.CSSClassManager.CSSNamingConflict

Serial version UID

serialVersionUID - Static variable in class de.lmu.ifi.dbs.elki.visualization.gui.overview.DetailViewSelectedEvent

Serial version

serialVersionUID - Static variable in class de.lmu.ifi.dbs.elki.visualization.gui.ResultWindow

Serial version

serialVersionUID - Static variable in class de.lmu.ifi.dbs.elki.visualization.gui.SelectionTableWindow.DatabaseTableModel

Serial version

serialVersionUID - Static variable in class de.lmu.ifi.dbs.elki.visualization.gui.SelectionTableWindow

Serial version

serialVersionUID - Static variable in class de.lmu.ifi.dbs.elki.visualization.gui.SimpleSVGViewer

Serial version

serialVersionUID - Static variable in class de.lmu.ifi.dbs.elki.visualization.savedialog.SaveOptionsPanel

Serial version.

SERIESID - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.HistogramVisualization

CSS class name for the series.

SERIESID - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.XYCurveVisualization

SVG class name for plot line

SERIESID - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.XYPlotVisualization

SVG class name for plot line

sers - Variable in class de.lmu.ifi.dbs.elki.datasource.bundle.BundleReader

Serializers to use.

server - Variable in class de.lmu.ifi.dbs.elki.application.jsmap.JSONResultHandler

The actual web server

server - Variable in class de.lmu.ifi.dbs.elki.application.jsmap.JSONWebServer

Server instance.

set(DBIDRef, int, T) - Method in class de.lmu.ifi.dbs.elki.database.datastore.memory.ArrayRecordStore

Actual setter

set(DBIDRef, int, T) - Method in class de.lmu.ifi.dbs.elki.database.datastore.memory.MapIntegerDBIDRecordStore

Actual setter.

set(DBIDRef, int, T) - Method in class de.lmu.ifi.dbs.elki.database.datastore.memory.MapRecordStore

Actual setter.

set(int, DBIDRef) - Method in interface de.lmu.ifi.dbs.elki.database.ids.ArrayModifiableDBIDs

Replace the i'th entry (starting at 0)

set(DBIDRef) - Method in interface de.lmu.ifi.dbs.elki.database.ids.DBIDVar

Assign a new value for the reference.

set(int, DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.ArrayModifiableIntegerDBIDs

set(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDVar

set(DBIDRef, double) - Method in interface de.lmu.ifi.dbs.elki.database.relation.DoubleRelation

Set an object representation.

set(DBIDRef, double) - Method in class de.lmu.ifi.dbs.elki.database.relation.MaterializedDoubleRelation

set - Variable in class de.lmu.ifi.dbs.elki.evaluation.scores.adapter.DBIDsTest

DBID set.

set(int, int, double) - Method in class de.lmu.ifi.dbs.elki.math.dimensionsimilarity.DimensionSimilarityMatrix

Set the value of the given matrix position.

set(int, int, int, int, int, int) - Method in class de.lmu.ifi.dbs.elki.math.geometry.SweepHullDelaunay2D.Triangle

Update the triangle.

set(int, int, double) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix

Set a single element.

set(int, double) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Vector

Sets the value at the specified row.

set(Vector) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Vector

Copy the values of another vector into the current vector.

set(Double) - Method in class de.lmu.ifi.dbs.elki.parallel.variables.SharedDouble.Instance

Deprecated.

use SharedDouble.Instance.set(double)!

set(double) - Method in class de.lmu.ifi.dbs.elki.parallel.variables.SharedDouble.Instance

Set the variables value.

set(Integer) - Method in class de.lmu.ifi.dbs.elki.parallel.variables.SharedInteger.Instance

Deprecated.

use SharedInteger.Instance.set(int)!

set(int) - Method in class de.lmu.ifi.dbs.elki.parallel.variables.SharedInteger.Instance

Set the variables value.

set(T) - Method in class de.lmu.ifi.dbs.elki.parallel.variables.SharedObject.Instance

set(T) - Method in interface de.lmu.ifi.dbs.elki.parallel.variables.SharedVariable.Instance

Set a new value

set(int, double) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike.DoubleArray

Set the value at this position.

set(int, int) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike.IntegerArray

Set the value at this position.

SET - Static variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.Flag

Constant indicating that the flag is set.

setActualMaximum(double) - Method in class de.lmu.ifi.dbs.elki.result.outlier.BasicOutlierScoreMeta

setActualMinimum(double) - Method in class de.lmu.ifi.dbs.elki.result.outlier.BasicOutlierScoreMeta

setAtt(Element, String, double) - Static method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGUtil

Set a SVG attribute

setAtt(Element, String, int) - Static method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGUtil

Set a SVG attribute

setAtt(Element, String, String) - Static method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGUtil

Set a SVG attribute

setAxisInverted(int, boolean) - Method in interface de.lmu.ifi.dbs.elki.visualization.projections.ProjectionParallel

Set inversion flag of axis.

setAxisInverted(int, boolean) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.SimpleParallel

setAxisVisible(int, boolean) - Method in interface de.lmu.ifi.dbs.elki.visualization.projections.ProjectionParallel

Set the visibility of the axis.

setAxisVisible(int, boolean) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.SimpleParallel

setBulkStrategy(BulkSplit) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.AbstractRTreeSettings

Set the bulk loading strategy.

setC(long, int) - Static method in class de.lmu.ifi.dbs.elki.utilities.BitsUtil

Set bit number "off" in v.

setCached(String, String, T) - Method in class de.lmu.ifi.dbs.elki.visualization.style.PropertiesBasedStyleLibrary

Set a cache value

setCacheSize(int) - Method in class de.lmu.ifi.dbs.elki.persistent.LRUCache

Sets the maximum size of this cache.

setCentroid(V) - Method in class de.lmu.ifi.dbs.elki.data.model.CorrelationModel

Assign new Centroid

setClipping(Vector, Vector) - Method in class de.lmu.ifi.dbs.elki.data.synthetic.bymodel.GeneratorSingleCluster

Set a clipping box. min needs to be smaller than max in each component.

setCol(int, Vector) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix

Sets the jth column of this matrix to the specified column.

setCol(double[][], int, double[]) - Static method in class de.lmu.ifi.dbs.elki.math.linearalgebra.VMath

Sets the cth column of this matrix to the specified column.

setCompleted(StepProgress) - Method in class de.lmu.ifi.dbs.elki.logging.Logging

Finish a progress (unless null).

setCompleted(IndefiniteProgress) - Method in class de.lmu.ifi.dbs.elki.logging.Logging

Finish a progress (unless null).

setCompleted(Logging) - Method in class de.lmu.ifi.dbs.elki.logging.progress.IndefiniteProgress

Set the completion flag and log it

setCompleted(Logging) - Method in class de.lmu.ifi.dbs.elki.logging.progress.StepProgress

Mark the progress as completed and log it.

setConservativeKnnDistanceApproximation(ApproximationLine) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPDirectoryEntry

Sets the conservative approximation line

setConservativeKnnDistanceApproximation(ApproximationLine) - Method in interface de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPEntry

Sets the conservative approximation line

setConservativeKnnDistanceApproximation(ApproximationLine) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPLeafEntry

Sets the conservative approximation line

setCovarianceMatrix(Matrix) - Method in class de.lmu.ifi.dbs.elki.data.model.EMModel

setCovarianceMatrixBuilder(CovarianceMatrixBuilder) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PCARunner

Set covariance matrix builder.

setCoveringRadius(double) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.MTreeDirectoryEntry

Sets the covering radius of this entry.

setCoveringRadius(double) - Method in interface de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.MTreeEntry

Sets the covering radius of this entry if this entry is a directory entry, throws an UnsupportedOperationException otherwise.

setCoveringRadius(double) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.MTreeLeafEntry

Throws an UnsupportedOperationException, since a leaf entry has no covering radius.

setCSSClass(Element, String) - Static method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGUtil

Set the CSS class of an Element.

setDBID(DBIDRef) - Method in interface de.lmu.ifi.dbs.elki.database.ids.DoubleDBIDListMIter

Update the current DBID value.

setDBID(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDList.Itr

setDBID(DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDPairList.Itr

SetDBIDs - Interface in de.lmu.ifi.dbs.elki.database.ids

Interface for DBIDs that support fast "set" operations, in particular "contains" lookups.

setDBIDs(DBIDs) - Method in class de.lmu.ifi.dbs.elki.database.ProxyDatabase

Set the DBIDs to use.

setDBIDs(DBIDs) - Method in class de.lmu.ifi.dbs.elki.database.relation.DBIDView

Set the DBIDs of the view.

setDBIDs(DBIDs) - Method in class de.lmu.ifi.dbs.elki.database.relation.ProxyView

Set the DBIDs to use.

setDBIDs(ArrayDBIDs) - Method in class de.lmu.ifi.dbs.elki.datasource.bundle.MultipleObjectsBundle

Set the DBID range for this bundle.

setDefaultHandlerVisualizer() - Static method in class de.lmu.ifi.dbs.elki.workflow.OutputStep

Set the default handler to the Batik addon visualizer, if available.

setDefaultHandlerWriter() - Static method in class de.lmu.ifi.dbs.elki.workflow.OutputStep

Set the default handler to the ResultWriter.

setDefaultLevel(Level) - Static method in class de.lmu.ifi.dbs.elki.logging.LoggingConfiguration

Set the default level.

setDefaultValue(T) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.AbstractParameter

setDefaultValue(T) - Method in interface de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.Parameter

Sets the default value of this parameter.

setDensityCorrection(double) - Method in class de.lmu.ifi.dbs.elki.data.synthetic.bymodel.GeneratorSingleCluster

Set density correction factor.

setDimension(int) - Method in class de.lmu.ifi.dbs.elki.data.model.DimensionModel

Set cluster dimensionality

setDimension(int) - Method in class de.lmu.ifi.dbs.elki.data.spatial.SpatialSingleMaxComparator

Set the dimension to sort by.

setDimension(int) - Method in class de.lmu.ifi.dbs.elki.data.spatial.SpatialSingleMeanComparator

Set the dimension to sort by.

setDimension(int) - Method in class de.lmu.ifi.dbs.elki.data.spatial.SpatialSingleMinComparator

Set the dimension to sort by.

setDimension(int) - Method in class de.lmu.ifi.dbs.elki.data.VectorUtil.SortDBIDsBySingleDimension

Set the dimension to sort by.

setDimension(int) - Method in class de.lmu.ifi.dbs.elki.data.VectorUtil.SortVectorsBySingleDimension

Set the dimension to sort by.

setDimensionality(int) - Method in class de.lmu.ifi.dbs.elki.data.BitVector

setDimensionality(int) - Method in class de.lmu.ifi.dbs.elki.data.SparseByteVector

Sets the dimensionality to the new value.

setDimensionality(int) - Method in class de.lmu.ifi.dbs.elki.data.SparseDoubleVector

Sets the dimensionality to the new value.

setDimensionality(int) - Method in class de.lmu.ifi.dbs.elki.data.SparseFloatVector

Sets the dimensionality to the new value.

setDimensionality(int) - Method in class de.lmu.ifi.dbs.elki.data.SparseIntegerVector

Sets the dimensionality to the new value.

setDimensionality(int) - Method in interface de.lmu.ifi.dbs.elki.data.SparseNumberVector

Update the vector space dimensionality.

setDimensionality(int) - Method in class de.lmu.ifi.dbs.elki.data.SparseShortVector

Sets the dimensionality to the new value.

setDimInverted(int, boolean) - Method in interface de.lmu.ifi.dbs.elki.visualization.projections.ProjectionParallel

Set inversion flag of a dimension.

setDimInverted(int, boolean) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.SimpleParallel

setDirty(boolean) - Method in class de.lmu.ifi.dbs.elki.persistent.AbstractExternalizablePage

Sets the dirty flag of this page.

setDirty(boolean) - Method in interface de.lmu.ifi.dbs.elki.persistent.Page

Sets the dirty flag of this page.

setDisableInteractions(boolean) - Method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPlot

Disable Batik predefined interactions.

setDistanceFunction(NumberVectorDistanceFunction<? super V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.AbstractKMeans

setDistanceFunction(NumberVectorDistanceFunction<? super V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.BestOfMultipleKMeans

setDistanceFunction(NumberVectorDistanceFunction<? super V>) - Method in interface de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMeans

Set the distance function to use.

setDistanceFunction(NumberVectorDistanceFunction<? super V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMeansBisecting

setDocument(Document) - Method in class de.lmu.ifi.dbs.elki.visualization.batikutil.JSVGSynchronizedCanvas

Deprecated.

Document cannot be synchronized - use JSVGSynchronizedCanvas.setPlot(de.lmu.ifi.dbs.elki.visualization.svg.SVGPlot) and a SVGPlot object!

setDouble(double) - Method in interface de.lmu.ifi.dbs.elki.database.ids.DoubleDBIDListMIter

Update the value at the current position.

setDouble(double) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDList.Itr

setDouble(double) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDPairList.Itr

setDouble(double) - Method in class de.lmu.ifi.dbs.elki.logging.statistics.DoubleStatistic

Set the statistics.

setEmptyPagesSize(int) - Method in class de.lmu.ifi.dbs.elki.index.tree.TreeIndexHeader

Set the size required by the listing of empty pages.

setExpanded(SpatialEntry, SpatialEntry) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu.DeLiCluTree

Marks the nodes with the specified ids as expanded.

setFill(double, double, double) - Method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGScoreBar

Set the fill of the score bar.

setFirst(DBIDPair) - Method in interface de.lmu.ifi.dbs.elki.database.ids.DBIDVar

Assign the first pair member to this variable.

setFirst(DBIDPair) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDVar

setFirst(double) - Method in class de.lmu.ifi.dbs.elki.utilities.pairs.DoubleDoublePair

Set first value

setFirst(double) - Method in class de.lmu.ifi.dbs.elki.utilities.pairs.DoubleIntPair

Set first value

setFirst(int) - Method in class de.lmu.ifi.dbs.elki.utilities.pairs.IntDoublePair

Set first value

setFirst(int) - Method in class de.lmu.ifi.dbs.elki.utilities.pairs.IntIntPair

Set first value

setFirst(FIRST) - Method in class de.lmu.ifi.dbs.elki.utilities.pairs.Pair

Setter for first

setFirstRoutingObject(DBID) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.strategies.split.Assignments

Set the first routing object.

setFolderIcon(Icon) - Method in class de.lmu.ifi.dbs.elki.gui.util.TreePopup.Renderer

Set the folder icon.

setForceincomments(boolean) - Method in class de.lmu.ifi.dbs.elki.result.textwriter.TextWriterStream

Set the force-in-comments flag.

setFormat(String) - Method in class de.lmu.ifi.dbs.elki.visualization.savedialog.SaveOptionsPanel

setGzipCompression(boolean) - Method in class de.lmu.ifi.dbs.elki.result.textwriter.MultipleFilesOutput

Set GZIP compression flag.

setHandled(DBID, O) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu.DeLiCluTreeIndex

Marks the specified object as handled and returns the path of node ids from the root to the objects's parent.

setHasHandled(boolean) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu.DeLiCluDirectoryEntry

setHasHandled(boolean) - Method in interface de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu.DeLiCluEntry

Sets the flag to marks the node (or its child nodes) which is represented by this entry to contain handled data objects.

setHasHandled(boolean) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu.DeLiCluLeafEntry

setHasUnhandled(boolean) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu.DeLiCluDirectoryEntry

setHasUnhandled(boolean) - Method in interface de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu.DeLiCluEntry

Sets the flag to marks the node (or its child nodes) which is represented by this entry to contain unhandled data objects.

setHasUnhandled(boolean) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu.DeLiCluLeafEntry

setHeight(int) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.AbstractRStarTree

Sets the height of this R*-Tree.

setHierarchy(ResultHierarchy) - Method in class de.lmu.ifi.dbs.elki.result.AbstractHierarchicalResult

setHierarchy(ResultHierarchy) - Method in interface de.lmu.ifi.dbs.elki.result.HierarchicalResult

Set (exchange) the hierarchy implementation (e.g. after merging!)

setI(long[], int) - Static method in class de.lmu.ifi.dbs.elki.utilities.BitsUtil

Set bit number "off" in v.

setI(long[], long[]) - Static method in class de.lmu.ifi.dbs.elki.utilities.BitsUtil

Put o onto v inplace, i.e. v = o

setIDs(DBIDs) - Method in class de.lmu.ifi.dbs.elki.data.Cluster

Access group object

setInitialClusters(List<? extends Cluster<? extends MeanModel>>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.initialization.PredefinedInitialMeans

Set the initial means.

setInitialMeans(List<? extends NumberVector>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.initialization.PredefinedInitialMeans

Set the initial means.

setInitialMeans(double[][]) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.initialization.PredefinedInitialMeans

Set the initial means.

setInsertionStrategy(InsertionStrategy) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.AbstractRTreeSettings

Set insertion strategy.

setInvertedRows(DBIDs) - Method in class de.lmu.ifi.dbs.elki.data.model.BiclusterWithInversionsModel

Sets the ids of the inverted rows.

setK(int) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.AbstractKMeans

setK(int) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.BestOfMultipleKMeans

setK(int) - Method in interface de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMeans

Set the value of k.

setK(int) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMeansBisecting

setKnnDistance(double) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax.MkMaxDirectoryEntry

setKnnDistance(double) - Method in interface de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax.MkMaxEntry

Sets the knn distance of the entry.

setKnnDistance(double) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax.MkMaxLeafEntry

setKnnDistance(double) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn.RdKNNDirectoryEntry

setKnnDistance(double) - Method in interface de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn.RdKNNEntry

Sets the knn distance of this entry.

setKnnDistance(double) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn.RdKNNLeafEntry

setKnnDistanceApproximation(PolynomialApproximation) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppDirectoryEntry

Sets the polynomial approximation.

setKnnDistanceApproximation(PolynomialApproximation) - Method in interface de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppEntry

Sets the polynomial approximation.

setKnnDistanceApproximation(PolynomialApproximation) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppLeafEntry

Sets the polynomial approximation.

setKnnDistances(double[]) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab.MkTabDirectoryEntry

setKnnDistances(double[]) - Method in interface de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab.MkTabEntry

Sets the knn distances of the entry.

setKnnDistances(double[]) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab.MkTabLeafEntry

setLargestPageID(int) - Method in class de.lmu.ifi.dbs.elki.index.tree.TreeIndexHeader

setLeafIcon(Icon) - Method in class de.lmu.ifi.dbs.elki.gui.util.TreePopup.Renderer

Set the leaf icon

setLes(LinearEquationSystem) - Method in class de.lmu.ifi.dbs.elki.data.model.LinearEquationModel

Assign new Linear Equation System.

setLevelFor(String, String) - Static method in class de.lmu.ifi.dbs.elki.logging.LoggingConfiguration

Set the logging level for a particular package/class.

setLong(long) - Method in class de.lmu.ifi.dbs.elki.logging.statistics.LongStatistic

Set the statistics.

setLookAndFeel() - Static method in class de.lmu.ifi.dbs.elki.gui.GUIUtil

Setup look at feel.

SetMatchingPurity - Class in de.lmu.ifi.dbs.elki.evaluation.clustering

Set matching purity measures.

SetMatchingPurity(ClusterContingencyTable) - Constructor for class de.lmu.ifi.dbs.elki.evaluation.clustering.SetMatchingPurity

Constructor.

setMatrix(int, int, int, int, Matrix) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix

Set a submatrix.

setMatrix(int[], int[], Matrix) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix

Set a submatrix.

setMatrix(int[], int, int, Matrix) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix

Set a submatrix.

setMatrix(int, int, int[], Matrix) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix

Set a submatrix.

setMatrix(double[][], int, int, int, int, double[][]) - Static method in class de.lmu.ifi.dbs.elki.math.linearalgebra.VMath

Set a submatrix.

setMatrix(double[][], int[], int[], double[][]) - Static method in class de.lmu.ifi.dbs.elki.math.linearalgebra.VMath

Set a submatrix.

setMatrix(double[][], int[], int, int, double[][]) - Static method in class de.lmu.ifi.dbs.elki.math.linearalgebra.VMath

Set a submatrix.

setMatrix(double[][], int, int, int[], double[][]) - Static method in class de.lmu.ifi.dbs.elki.math.linearalgebra.VMath

Set a submatrix.

setMax(int, double) - Method in class de.lmu.ifi.dbs.elki.data.ModifiableHyperBoundingBox

Set the maximum bound in dimension dimension to value value.

setMBR(ModifiableHyperBoundingBox) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.SpatialDirectoryEntry

Sets the MBR of this entry.

setMib(double) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.optics.OPTICSXi.SteepDownArea

Update the maximum in-between value

setMin(int, double) - Method in class de.lmu.ifi.dbs.elki.data.ModifiableHyperBoundingBox

Set the minimum bound in dimension dimension to value value.

setMinimumFill(double) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.AbstractRTreeSettings

Set the relative minimum fill.

setModel(M) - Method in class de.lmu.ifi.dbs.elki.data.Cluster

Access model object

setName(String) - Method in class de.lmu.ifi.dbs.elki.data.Cluster

Set Cluster name

setName(String) - Method in class de.lmu.ifi.dbs.elki.visualization.css.CSSClass

Set the class name.

setNextPageID(int) - Method in class de.lmu.ifi.dbs.elki.persistent.AbstractStoringPageFile

Sets the next page id.

setNextPageID(int) - Method in class de.lmu.ifi.dbs.elki.persistent.LRUCache

setNextPageID(int) - Method in interface de.lmu.ifi.dbs.elki.persistent.PageFile

Sets the next page id.

setNextPageID(int) - Method in class de.lmu.ifi.dbs.elki.persistent.PersistentPageFile

Set the next page id to the given value.

setNodeSplitStrategy(SplitStrategy) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.AbstractRTreeSettings

Set the node splitting strategy.

setNoise(boolean) - Method in class de.lmu.ifi.dbs.elki.data.Cluster

Setter for noise flag.

setOptional(boolean) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.AbstractParameter

setOptional(boolean) - Method in interface de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.Parameter

Specifies if this parameter is an optional parameter.

setOverflowTreatment(OverflowTreatment) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.AbstractRTreeSettings

Set the overflow treatment strategy.

setPageID(int) - Method in class de.lmu.ifi.dbs.elki.persistent.AbstractExternalizablePage

Sets the unique id of this Page.

setPageID(P) - Method in class de.lmu.ifi.dbs.elki.persistent.AbstractStoringPageFile

Sets the id of the given page.

setPageID(P) - Method in class de.lmu.ifi.dbs.elki.persistent.LRUCache

setPageID(int) - Method in interface de.lmu.ifi.dbs.elki.persistent.Page

Sets the unique id of this Page.

setPageID(P) - Method in interface de.lmu.ifi.dbs.elki.persistent.PageFile

Sets the id of the given page.

setParameters(Parameterization) - Method in class de.lmu.ifi.dbs.elki.gui.multistep.MultiStepGUI

Set the parameters.

setParameters(Parameterization) - Method in class de.lmu.ifi.dbs.elki.gui.multistep.panels.ParameterTabPanel

Do the actual setParameters invocation.

setParentDistance(double) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.MTreeDirectoryEntry

Sets the distance from the object to its parent object.

setParentDistance(double) - Method in interface de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.MTreeEntry

Sets the distance from the routing object to routing object of its parent.

setParentDistance(double) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.MTreeLeafEntry

Sets the distance from the underlying data object to its parent's routing object.

setPartitions(Relation<V>) - Method in class de.lmu.ifi.dbs.elki.index.vafile.VAFile

Initialize the data set grid by computing quantiles.

setPCAResult(PCAFilteredResult) - Method in class de.lmu.ifi.dbs.elki.data.model.CorrelationModel

Assign new PCA result

setPlot(SVGPlot) - Method in class de.lmu.ifi.dbs.elki.visualization.batikutil.JSVGSynchronizedCanvas

Choose a new plot to display.

setPlot(SVGPlot) - Method in class de.lmu.ifi.dbs.elki.visualization.gui.SimpleSVGViewer

Set the plot to show

setProcessed(int) - Method in class de.lmu.ifi.dbs.elki.logging.progress.AbstractProgress

Sets the number of items already processed at a time being.

setProcessed(int, Logging) - Method in class de.lmu.ifi.dbs.elki.logging.progress.AbstractProgress

Sets the number of items already processed at a time being.

setProcessed(int) - Method in class de.lmu.ifi.dbs.elki.logging.progress.FiniteProgress

Sets the number of items already processed at a time being.

setProgressiveKnnDistanceApproximation(ApproximationLine) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPLeafEntry

Sets the progressive approximation line

setRatio(double) - Method in class de.lmu.ifi.dbs.elki.visualization.gui.detail.DetailView

Set the plot ratio

setRatio(double) - Method in class de.lmu.ifi.dbs.elki.visualization.gui.overview.OverviewPlot

setReassignPattern(Pattern) - Method in class de.lmu.ifi.dbs.elki.data.synthetic.bymodel.GeneratorMain

Set the reassignment pattern.

setRelation(Relation<?>) - Method in class de.lmu.ifi.dbs.elki.visualization.VisualizerContext

Set the current relation.

setReversed(boolean) - Method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGScoreBar

Set the reversed flag.

setRkNNReach(RKNNQuery<O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.FlexibleLOF.LOFResult

Sets the RkNN query w.r.t. the reachability distance.

setRkNNRefer(RKNNQuery<O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.FlexibleLOF.LOFResult

Sets the RkNN query w.r.t. the reference neighborhood distance.

setRoutingObjectID(DBID) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.MTreeDirectoryEntry

Sets the id of the routing object of this entry.

setRoutingObjectID(DBID) - Method in interface de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.MTreeEntry

Sets the id of the underlying database object of this entry, if this entry is a leaf entry, the id of the routing object, otherwise.

setRoutingObjectID(DBID) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.MTreeLeafEntry

todo ok

setRow(int, Vector) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix

Sets the jth row of this matrix to the specified vector.

setRow(double[][], int, double[]) - Static method in class de.lmu.ifi.dbs.elki.math.linearalgebra.VMath

Sets the rth row of this matrix to the specified vector.

setSample(DBIDs) - Method in class de.lmu.ifi.dbs.elki.result.SamplingResult

Note: trigger a resultchanged event!

setScale(int, LinearScale) - Method in class de.lmu.ifi.dbs.elki.result.ScalesResult

Set the scale for dimension dim (starting at 1!).

setSecond(DBIDPair) - Method in interface de.lmu.ifi.dbs.elki.database.ids.DBIDVar

Assign the second pair member to this variable.

setSecond(DBIDPair) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDVar

setSecond(double) - Method in class de.lmu.ifi.dbs.elki.utilities.pairs.DoubleDoublePair

Set second value

setSecond(int) - Method in class de.lmu.ifi.dbs.elki.utilities.pairs.DoubleIntPair

Set second value

setSecond(double) - Method in class de.lmu.ifi.dbs.elki.utilities.pairs.IntDoublePair

Set second value

setSecond(int) - Method in class de.lmu.ifi.dbs.elki.utilities.pairs.IntIntPair

Set second value

setSecond(SECOND) - Method in class de.lmu.ifi.dbs.elki.utilities.pairs.Pair

Setter for second

setSecondRoutingObject(DBID) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.strategies.split.Assignments

Set the second routing object.

setSeed(long) - Method in class de.lmu.ifi.dbs.elki.math.random.FastNonThreadsafeRandom

setSeed(long) - Method in class de.lmu.ifi.dbs.elki.math.random.XorShift1024NonThreadsafeRandom

setSeed(long) - Method in class de.lmu.ifi.dbs.elki.math.random.XorShift64NonThreadsafeRandom

setSelectedAttributes(long[]) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.transform.NumberVectorFeatureSelectionFilter

Sets the bits set to true in the given BitSet as selected attributes in NumberVectorFeatureSelectionFilter.Parameterizer.SELECTED_ATTRIBUTES_ID.

setSelectedDimensions(long[]) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.AbstractDimensionsSelectingDistanceFunction

setSelectedDimensions(long[]) - Method in interface de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.DimensionSelectingSubspaceDistanceFunction

Sets the selected dimensions according to the set bits in the given BitSet.

setSelectedDimensions(long[]) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.OnedimensionalDistanceFunction

Deprecated.

setSelectedItem(Object) - Method in class de.lmu.ifi.dbs.elki.gui.minigui.MiniGUI.SettingsComboboxModel

setSelectedItem(Object) - Method in class de.lmu.ifi.dbs.elki.gui.multistep.panels.SavedSettingsTabPanel.SettingsComboboxModel

setSelection(DBIDSelection) - Method in class de.lmu.ifi.dbs.elki.result.SelectionResult

setSelection(DBIDSelection) - Method in class de.lmu.ifi.dbs.elki.visualization.VisualizerContext

Set a new selection.

setSerializer(ByteBufferSerializer<? super T>) - Method in class de.lmu.ifi.dbs.elki.data.type.SimpleTypeInformation

Set the serializer for this type.

setShortDescription(String) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.AbstractParameter

setShortDescription(String) - Method in interface de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.Parameter

Sets the short description of the option.

setSize(DBIDRef, int) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.PointerHierarchyRepresentationBuilder

Set the cluster size of an object.

setSoft(boolean) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.em.EM

setSourceClassName(String) - Method in class de.lmu.ifi.dbs.elki.logging.ELKILogRecord

setSourceMethodName(String) - Method in class de.lmu.ifi.dbs.elki.logging.ELKILogRecord

setStatement(String, String) - Method in class de.lmu.ifi.dbs.elki.visualization.css.CSSClass

Set a CSS statement.

setStatement(String, int) - Method in class de.lmu.ifi.dbs.elki.visualization.css.CSSClass

Set a CSS statement.

setStatement(String, double) - Method in class de.lmu.ifi.dbs.elki.visualization.css.CSSClass

Set a CSS statement.

setStatistics() - Static method in class de.lmu.ifi.dbs.elki.logging.LoggingConfiguration

Enable runtime performance logging.

setString(String) - Method in class de.lmu.ifi.dbs.elki.logging.statistics.StringStatistic

Set the value.

setStyle(Element, String) - Static method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGUtil

Set a SVG style attribute

setStyleLibrary(StyleLibrary) - Method in class de.lmu.ifi.dbs.elki.visualization.VisualizerContext

Get the style library

setStyleLibrary(StyleLibrary) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.pairsegments.SegmentsStylingPolicy

Assign the style library, for compatibility color styling.

setStylingPolicy(StylingPolicy) - Method in class de.lmu.ifi.dbs.elki.visualization.VisualizerContext

Set the active styling policy

setSVGRect(SVGPlot, Projection2D) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection.SelectionCubeVisualization.Instance

Generates a cube and a frame depending on the selection stored in the context

setTab - Variable in class de.lmu.ifi.dbs.elki.gui.multistep.MultiStepGUI

Saved settingspanel.

setTestAgainstModel(boolean) - Method in class de.lmu.ifi.dbs.elki.data.synthetic.bymodel.GeneratorMain

Set the value of the GeneratorMain.testAgainstModel flag.

settings - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.COPAC.Parameterizer

COPAC settings.

settings - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.COPAC

Settings class.

settings - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.COPAC.Settings.Parameterizer

Settings to build.

settings - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.ERiC.Parameterizer

The settings to use.

settings - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.ERiC

ERiC Settings.

settings - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.ERiC.Settings.Parameterizer

Settings to build.

settings - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.FourC.Parameterizer

Settings storage.

settings - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.FourC.Settings.Parameterizer

Settings storage.

settings - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.COPACNeighborPredicate.Parameterizer

COPAC settings.

settings - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.COPACNeighborPredicate

COPAC parameters

settings - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.ERiCNeighborPredicate.Parameterizer

ERiC settings.

settings - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.ERiCNeighborPredicate

ERiC parameters

settings - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.FourCCorePredicate.Instance

The PreDeCon settings class.

settings - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.FourCCorePredicate.Parameterizer

The PreDeCon settings class.

settings - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.FourCCorePredicate

The PreDeCon settings class.

settings - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.FourCNeighborPredicate.Parameterizer

4C settings.

settings - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.FourCNeighborPredicate

4C settings class.

settings - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.PreDeConCorePredicate.Instance

The PreDeCon settings class.

settings - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.PreDeConCorePredicate.Parameterizer

The PreDeCon settings class.

settings - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.PreDeConCorePredicate

The PreDeCon settings class.

settings - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.PreDeConNeighborPredicate.Parameterizer

PreDeCon settings.

settings - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.PreDeConNeighborPredicate

PreDeCon settings class.

settings - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.PreDeCon.Parameterizer

PreDeConSettings.

settings - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.PreDeCon.Settings.Parameterizer

Settings to build.

settings - Variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.AbstractMTree

Tree settings.

settings - Variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.AbstractMTreeFactory.Parameterizer

Tree settings.

settings - Variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.AbstractMTreeFactory

Tree settings.

settings - Variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.AbstractRStarTree

Settings class.

settings - Variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.AbstractRStarTreeFactory.Parameterizer

Tree settings

settings - Variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.AbstractRStarTreeFactory

Tree settings

settings - Variable in class de.lmu.ifi.dbs.elki.KDDTask.Parameterizer

settings - Variable in class de.lmu.ifi.dbs.elki.KDDTask

The settings used, for settings reporting.

settings - Variable in class de.lmu.ifi.dbs.elki.result.SettingsResult

Settings storage.

settings - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.histogram.ColoredHistogramVisualizer

Settings

settings - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.cluster.ClusterOutlineVisualization

Settings

settings - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.index.RTreeParallelVisualization

Settings

settings - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster.ClusterHullVisualization

Settings

settings - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.index.TreeMBRVisualization

Settings

settings - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.index.TreeSphereVisualization

Settings

settings - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.outlier.BubbleVisualization

Current settings

settings - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection.SelectionCubeVisualization

Settings

settings - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.TooltipScoreVisualization

Settings

SettingsResult - Class in de.lmu.ifi.dbs.elki.result

Result that keeps track of settings that were used in generating this particular result.

SettingsResult(Collection<TrackedParameter>) - Constructor for class de.lmu.ifi.dbs.elki.result.SettingsResult

Constructor.

SettingsVisualization - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj

Pseudo-Visualizer, that lists the settings of the algorithm-

SettingsVisualization() - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.SettingsVisualization

Constructor.

setTitle(String, String) - Method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGButton

Set the button title

setTotal(int) - Method in class de.lmu.ifi.dbs.elki.logging.progress.MutableProgress

Modify the total value.

setup(List<? extends NumberVector>, int) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise.IntegerRankTieNormalization.Sorter

Configure the sorting class.

setupAppChooser() - Method in class de.lmu.ifi.dbs.elki.gui.minigui.MiniGUI

Setup the application chooser.

setupBundleHeaders(ArrayList<String>, int[], TypeInformation[], int[], MultipleObjectsBundle, boolean) - Method in class de.lmu.ifi.dbs.elki.datasource.parser.ArffParser

Setup the headers for the object bundle.

setupCanvas(SVGPlot, ProjectionParallel, double, double) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.AbstractParallelVisualization

Utility function to setup a canvas element for the visualization.

setupCanvas() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.AbstractScatterplotVisualization

Setup our canvas.

setupCanvas(SVGPlot, Projection2D, double, double, double) - Static method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.AbstractScatterplotVisualization

Utility function to setup a canvas element for the visualization.

setupCommandLine() - Method in class de.lmu.ifi.dbs.elki.gui.minigui.MiniGUI

Setup command line field

setupCSS(SVGPlot, int) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.histogram.ColoredHistogramVisualizer.Instance

Generate the needed CSS classes.

setupCSS(SVGPlot) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.AbstractTooltipVisualization

Registers the Tooltip-CSS-Class at a SVGPlot.

setupCSS(SVGPlot, ClassStylingPolicy) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.outlier.BubbleVisualization.Instance

Registers the Bubble-CSS-Class at a SVGPlot.

setupCSS(SVGPlot) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.outlier.COPVectorVisualization.Instance

Registers the COP error vector-CSS-Class at a SVGPlot.

setupCSS(SVGPlot) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.ReferencePointsVisualization.Instance

Registers the Reference-Point-CSS-Class at a SVGPlot.

setupCSS(SVGPlot) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.TooltipScoreVisualization.Instance

Registers the Tooltip-CSS-Class at a SVGPlot.

setupCSS(SVGPlot) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.TooltipStringVisualization.Instance

Registers the Tooltip-CSS-Class at a SVGPlot.

setupCSS(SVGPlot, double) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.DendrogramVisualization.Instance

Register the CSS classes.

setupCSS(SVGPlot, ClassStylingPolicy, double) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.DendrogramVisualization.Instance

Register the CSS classes.

setupCSS(SVGPlot) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.KeyVisualization.Instance

Registers the Tooltip-CSS-Class at a SVGPlot.

setupCSS(VisualizerContext, SVGPlot) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.XYCurveVisualization

Setup the CSS classes for the plot.

setupCSS(VisualizerContext, SVGPlot, XYPlot) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.XYPlotVisualization

Setup the CSS classes for the plot.

setupCSSClasses(Object, CSSClassManager, StyleLibrary) - Static method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGSimpleLinearAxis

Register CSS classes with a CSSClassManager

setupLoadSaveButtons() - Method in class de.lmu.ifi.dbs.elki.gui.minigui.MiniGUI

Create the load and save buttons.

setupLoggingArea() - Method in class de.lmu.ifi.dbs.elki.gui.minigui.MiniGUI

Setup logging area

setupParameterTable() - Method in class de.lmu.ifi.dbs.elki.gui.minigui.MiniGUI

Setup the parameter table

setValue(int, int) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.LOCI.DoubleIntArrayList

Get the value at the given position.

setValue(Object) - Method in class de.lmu.ifi.dbs.elki.gui.util.ParameterTable.ColorfulRenderer

setValue(Object) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.AbstractParameter

setValue(boolean) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.Flag

Convenience function using a native boolean, that doesn't require error handling.

setValue(Object) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.ObjectParameter

setValue(Object) - Method in interface de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.Parameter

Sets the value of the option.

setValue(Object) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.RandomParameter

setValueAt(Object, int, int) - Method in class de.lmu.ifi.dbs.elki.gui.util.ParametersModel

setValueAt(Object, int, int) - Method in class de.lmu.ifi.dbs.elki.visualization.gui.SelectionTableWindow.DatabaseTableModel

setValueForOption(Parameter<?>) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.AbstractParameterization

Perform the actual parameter assignment.

setValueForOption(Parameter<?>) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.ChainedParameterization

setValueForOption(Parameter<?>) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.EmptyParameterization

setValueForOption(Parameter<?>) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.ListParameterization

setValueForOption(Parameter<?>) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.MergedParameterization

setValueForOption(Parameter<?>) - Method in interface de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.Parameterization

Assign a value for an option, but not using default values and throwing exceptions on error.

setValueForOption(Parameter<?>) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.SerializedParameterization

setValueForOption(Parameter<?>) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.TrackParameters

setValueForOption(Parameter<?>) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.UnParameterization

setValueInternal(T) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.AbstractParameter

Internal setter for the value.

setVerbose(Level) - Static method in class de.lmu.ifi.dbs.elki.logging.LoggingConfiguration

Reconfigure logging to enable 'verbose' logging at the top level.

setVisible(VisualizerContext, VisualizationTask, boolean) - Static method in class de.lmu.ifi.dbs.elki.visualization.VisualizationTree

Utility function to change Visualizer visibility.

setWeight(double) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.em.DiagonalGaussianModel

setWeight(double) - Method in interface de.lmu.ifi.dbs.elki.algorithm.clustering.em.EMClusterModel

Set the cluster weight.

setWeight(double) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.em.MultivariateGaussianModel

setWeight(double) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.em.SphericalGaussianModel

setZero() - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Vector

Reset the Vector to 0.

SHADOW_ID - Static variable in class de.lmu.ifi.dbs.elki.visualization.svg.SVGEffects

ID for the drop shadow effect

shape - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.CauchyDistribution.Parameterizer

Parameters.

shape - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.CauchyDistribution

The shape (gamma) parameter.

shape - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.GeneralizedLogisticAlternateDistribution.Parameterizer

Parameters.

shape - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.GeneralizedLogisticAlternateDistribution

Shape parameter, for generalized logistic distribution.

shape - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.GeneralizedLogisticDistribution.Parameterizer

Parameters.

shape - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.GeneralizedLogisticDistribution

Shape parameter, for generalized logistic distribution.

shape - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.GumbelDistribution.Parameterizer

Parameters.

shape - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.LogLogisticDistribution.Parameterizer

Parameters.

shape - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.LogLogisticDistribution

Parameters: scale and shape

shape - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.WaldDistribution.Parameterizer

Parameters.

shape - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.WaldDistribution

Shape parameter

shape1 - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.KappaDistribution.Parameterizer

Parameters.

shape1 - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.KappaDistribution

Shape parameters.

SHAPE1_ID - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.KappaDistribution.Parameterizer

First shape parameter.

shape2 - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.KappaDistribution.Parameterizer

Parameters.

shape2 - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.KappaDistribution

Shape parameters.

SHAPE2_ID - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.KappaDistribution.Parameterizer

Second shape parameter.

SHAPE_ID - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.AbstractDistribution.Parameterizer

Shape parameter.

SHAPE_ID - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.CauchyDistribution.Parameterizer

Shape parameter gamma.

share - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.RandomSampleKNNPreprocessor.Factory.Parameterizer

Relative share of objects to get

share - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.RandomSampleKNNPreprocessor.Factory

Relative share of objects to get

share - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.RandomSampleKNNPreprocessor

Relative share of objects to get

SHARE_ID - Static variable in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.RandomSampleKNNPreprocessor.Factory.Parameterizer

Parameter to specify how many objects to consider for computing the kNN.

SharedDouble - Class in de.lmu.ifi.dbs.elki.parallel.variables

Direct channel connecting two processors.

SharedDouble() - Constructor for class de.lmu.ifi.dbs.elki.parallel.variables.SharedDouble

SharedDouble.Instance - Class in de.lmu.ifi.dbs.elki.parallel.variables

Instance for a sub-channel.

SharedDouble.Instance() - Constructor for class de.lmu.ifi.dbs.elki.parallel.variables.SharedDouble.Instance

SharedInteger - Class in de.lmu.ifi.dbs.elki.parallel.variables

Direct channel connecting two processors.

SharedInteger() - Constructor for class de.lmu.ifi.dbs.elki.parallel.variables.SharedInteger

SharedInteger.Instance - Class in de.lmu.ifi.dbs.elki.parallel.variables

Instance for a sub-channel.

SharedInteger.Instance() - Constructor for class de.lmu.ifi.dbs.elki.parallel.variables.SharedInteger.Instance

SharedNearestNeighborIndex<O> - Interface in de.lmu.ifi.dbs.elki.index.preprocessed.snn

Interface for an index providing nearest neighbor sets.

SharedNearestNeighborIndex.Factory<O,I extends SharedNearestNeighborIndex<O>> - Interface in de.lmu.ifi.dbs.elki.index.preprocessed.snn

Factory interface

SharedNearestNeighborJaccardDistanceFunction<O> - Class in de.lmu.ifi.dbs.elki.distance.distancefunction

SharedNearestNeighborJaccardDistanceFunction computes the Jaccard coefficient, which is a proper distance metric.

SharedNearestNeighborJaccardDistanceFunction(SharedNearestNeighborIndex.Factory<O, SharedNearestNeighborIndex<O>>) - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.SharedNearestNeighborJaccardDistanceFunction

Constructor.

SharedNearestNeighborJaccardDistanceFunction.Instance<T> - Class in de.lmu.ifi.dbs.elki.distance.distancefunction

Actual instance for a dataset.

SharedNearestNeighborJaccardDistanceFunction.Instance(Relation<T>, SharedNearestNeighborIndex<T>, SharedNearestNeighborJaccardDistanceFunction<T>) - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.SharedNearestNeighborJaccardDistanceFunction.Instance

Constructor.

SharedNearestNeighborJaccardDistanceFunction.Parameterizer<O> - Class in de.lmu.ifi.dbs.elki.distance.distancefunction

Parameterization class.

SharedNearestNeighborJaccardDistanceFunction.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.SharedNearestNeighborJaccardDistanceFunction.Parameterizer

SharedNearestNeighborPreprocessor<O> - Class in de.lmu.ifi.dbs.elki.index.preprocessed.snn

A preprocessor for annotation of the ids of nearest neighbors to each database object.

SharedNearestNeighborPreprocessor(Relation<O>, int, DistanceFunction<O>) - Constructor for class de.lmu.ifi.dbs.elki.index.preprocessed.snn.SharedNearestNeighborPreprocessor

Constructor.

SharedNearestNeighborPreprocessor.Factory<O> - Class in de.lmu.ifi.dbs.elki.index.preprocessed.snn

Factory class

SharedNearestNeighborPreprocessor.Factory(int, DistanceFunction<O>) - Constructor for class de.lmu.ifi.dbs.elki.index.preprocessed.snn.SharedNearestNeighborPreprocessor.Factory

Constructor.

SharedNearestNeighborPreprocessor.Factory.Parameterizer<O> - Class in de.lmu.ifi.dbs.elki.index.preprocessed.snn

Parameterization class.

SharedNearestNeighborPreprocessor.Factory.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.index.preprocessed.snn.SharedNearestNeighborPreprocessor.Factory.Parameterizer

SharedNearestNeighborSimilarityFunction<O> - Class in de.lmu.ifi.dbs.elki.distance.similarityfunction

SharedNearestNeighborSimilarityFunction with a pattern defined to accept Strings that define a non-negative Integer.

SharedNearestNeighborSimilarityFunction(SharedNearestNeighborIndex.Factory<O, SharedNearestNeighborIndex<O>>) - Constructor for class de.lmu.ifi.dbs.elki.distance.similarityfunction.SharedNearestNeighborSimilarityFunction

Constructor.

SharedNearestNeighborSimilarityFunction.Instance<O> - Class in de.lmu.ifi.dbs.elki.distance.similarityfunction

Instance for a particular database.

SharedNearestNeighborSimilarityFunction.Instance(Relation<O>, SharedNearestNeighborIndex<O>, SharedNearestNeighborSimilarityFunction<? super O>) - Constructor for class de.lmu.ifi.dbs.elki.distance.similarityfunction.SharedNearestNeighborSimilarityFunction.Instance

Constructor.

SharedNearestNeighborSimilarityFunction.Parameterizer<O> - Class in de.lmu.ifi.dbs.elki.distance.similarityfunction

Parameterization class.

SharedNearestNeighborSimilarityFunction.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.similarityfunction.SharedNearestNeighborSimilarityFunction.Parameterizer

SharedObject<T> - Class in de.lmu.ifi.dbs.elki.parallel.variables

Variable to share between different processors (within one thread only!)

SharedObject() - Constructor for class de.lmu.ifi.dbs.elki.parallel.variables.SharedObject

SharedObject.Instance<T> - Class in de.lmu.ifi.dbs.elki.parallel.variables

Instance for a particular thread.

SharedObject.Instance() - Constructor for class de.lmu.ifi.dbs.elki.parallel.variables.SharedObject.Instance

SharedVariable<I extends SharedVariable.Instance<?>> - Interface in de.lmu.ifi.dbs.elki.parallel.variables

Shared variables storing a particular type.

SharedVariable.Instance<T> - Interface in de.lmu.ifi.dbs.elki.parallel.variables

Instance for a single execution thread.

shift - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.distance.HilOut.HilbertFeatures

Current curve shift

shift - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.ALOCI.ALOCIQuadTree

Tree parameters

shift - Variable in class de.lmu.ifi.dbs.elki.index.lsh.hashfunctions.MultipleProjectionsLocalitySensitiveHashFunction

Shift offset.

shift - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.LogGammaAlternateDistribution.Parameterizer

Parameters.

shift - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.LogGammaAlternateDistribution

Translation offset.

shift - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.LogGammaDistribution.Parameterizer

Parameters.

shift - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.LogGammaDistribution

Translation offset.

shift - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.LogNormalDistribution.Parameterizer

Parameters.

shift - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.LogNormalDistribution

Additional shift factor

shift - Variable in class de.lmu.ifi.dbs.elki.utilities.scaling.LinearScaling

Shift

SHIFT_ID - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.LogGammaAlternateDistribution.Parameterizer

Shifting offset parameter.

SHIFT_ID - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.LogGammaDistribution.Parameterizer

Shifting offset parameter.

SHIFT_ID - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.LogNormalDistribution.Parameterizer

Shift parameter

shiftLeftI(long[], int) - Static method in class de.lmu.ifi.dbs.elki.utilities.BitsUtil

Shift a long[] bitset inplace.

shiftRightI(long[], int) - Static method in class de.lmu.ifi.dbs.elki.utilities.BitsUtil

Shift a long[] bitset inplace.

SHORT_ADAPTER - Static variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.QuickSelect

Adapter for short arrays.

SHORT_SERIALIZER - Static variable in class de.lmu.ifi.dbs.elki.data.BitVector

Serializer for up to 2^15-1 dimensions.

SHORT_SERIALIZER - Static variable in class de.lmu.ifi.dbs.elki.data.ByteVector

Serializer for up to 2^15-1 dimensions.

SHORT_SERIALIZER - Static variable in class de.lmu.ifi.dbs.elki.data.DoubleVector

Serializer for up to 2^15-1 dimensions.

SHORT_SERIALIZER - Static variable in class de.lmu.ifi.dbs.elki.data.FloatVector

Serializer for up to 2^15-1 dimensions.

SHORT_SERIALIZER - Static variable in class de.lmu.ifi.dbs.elki.data.IntegerVector

Serializer for up to 2^15-1 dimensions.

SHORT_SERIALIZER - Static variable in class de.lmu.ifi.dbs.elki.data.ShortVector

Serializer for up to 2^15-1 dimensions.

SHORT_SERIALIZER - Static variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.Vector

Serializer for up to 2^15-1 dimensions.

SHORT_SERIALIZER - Static variable in class de.lmu.ifi.dbs.elki.utilities.io.ByteArrayUtil

Static instance.

shortDescription - Variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.AbstractParameter

The short description of the option.

ShortDynamicHistogram - Class in de.lmu.ifi.dbs.elki.utilities.datastructures.histogram

A flexible histogram storing short, that can dynamically adapt the number of bins to the data fed into the histogram.

ShortDynamicHistogram(int) - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.ShortDynamicHistogram

Constructor.

shortenClassname(String, char) - Static method in class de.lmu.ifi.dbs.elki.visualization.VisualizerParameterizer

Shorten the class name.

SHORTENED_ARRAY - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.COP

A clone of DoubleArrayAdapter that only uses the first 85% of the array!

ShortHistogram - Interface in de.lmu.ifi.dbs.elki.utilities.datastructures.histogram

Histogram storing short values.

ShortHistogram.Iter - Interface in de.lmu.ifi.dbs.elki.utilities.datastructures.histogram

Iterator interface.

shortname - Variable in class de.lmu.ifi.dbs.elki.database.relation.MaterializedDoubleRelation

The relation name (short version)

shortname - Variable in class de.lmu.ifi.dbs.elki.database.relation.MaterializedRelation

The relation name (short version)

shortname - Variable in class de.lmu.ifi.dbs.elki.result.BasicResult

Result name, for output

ShortStaticHistogram - Class in de.lmu.ifi.dbs.elki.utilities.datastructures.histogram

Histogram class storing short values.

ShortStaticHistogram(int, double, double) - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.ShortStaticHistogram

Constructor.

ShortStaticHistogram.Iter - Class in de.lmu.ifi.dbs.elki.utilities.datastructures.histogram

Iterator class.

ShortStaticHistogram.Iter() - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.ShortStaticHistogram.Iter

shortValue(int) - Method in class de.lmu.ifi.dbs.elki.data.AbstractNumberVector

shortValue(int) - Method in interface de.lmu.ifi.dbs.elki.data.NumberVector

Returns the value in the specified dimension as short.

shortValue(int) - Method in class de.lmu.ifi.dbs.elki.data.ShortVector

shortValue(int) - Method in interface de.lmu.ifi.dbs.elki.data.SparseNumberVector

Deprecated.

As the vectors are sparse, try to iterate over the sparse dimensions only, see SparseNumberVector.iterShortValue(int).

shortValue(int) - Method in class de.lmu.ifi.dbs.elki.data.SparseShortVector

Deprecated.

shortValue(int) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.SpatialPointLeafEntry

shortValue(int) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Vector

ShortVector - Class in de.lmu.ifi.dbs.elki.data

Vector type using short[] storage.

ShortVector(short[], boolean) - Constructor for class de.lmu.ifi.dbs.elki.data.ShortVector

Private constructor.

ShortVector(short[]) - Constructor for class de.lmu.ifi.dbs.elki.data.ShortVector

Create an ShortVector consisting of the given Short values.

ShortVector.Factory - Class in de.lmu.ifi.dbs.elki.data

Factory for Short vectors.

ShortVector.Factory() - Constructor for class de.lmu.ifi.dbs.elki.data.ShortVector.Factory

ShortVector.Factory.Parameterizer - Class in de.lmu.ifi.dbs.elki.data

Parameterization class.

ShortVector.Factory.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.data.ShortVector.Factory.Parameterizer

ShortVector.ShortSerializer - Class in de.lmu.ifi.dbs.elki.data

Serialization class for dense Short vectors with up to Short.MAX_VALUE dimensions, by using a short for storing the dimensionality.

ShortVector.ShortSerializer() - Constructor for class de.lmu.ifi.dbs.elki.data.ShortVector.ShortSerializer

ShortVector.VariableSerializer - Class in de.lmu.ifi.dbs.elki.data

Serialization class for variable dimensionality by using VarInt encoding.

ShortVector.VariableSerializer() - Constructor for class de.lmu.ifi.dbs.elki.data.ShortVector.VariableSerializer

show(Component) - Method in class de.lmu.ifi.dbs.elki.gui.util.TreePopup

Display the popup, attached to the given component.

showError(Component, String, String) - Static method in class de.lmu.ifi.dbs.elki.visualization.savedialog.SVGSaveDialog

Helper method to show a error message as "popup".

showOverview() - Method in class de.lmu.ifi.dbs.elki.visualization.gui.ResultWindow

Navigate to the overview plot.

showPlot(SVGPlot) - Method in class de.lmu.ifi.dbs.elki.visualization.gui.ResultWindow

Navigate to a particular plot.

showSaveDialog(SVGPlot, int, int) - Static method in class de.lmu.ifi.dbs.elki.visualization.savedialog.SVGSaveDialog

Show a "Save as" dialog.

showSubplot(DetailViewSelectedEvent) - Method in class de.lmu.ifi.dbs.elki.visualization.gui.ResultWindow

Navigate to a subplot.

showTableView() - Method in class de.lmu.ifi.dbs.elki.visualization.gui.ResultWindow

Show a tabular view

showUnclusteredPairs - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.pairsegments.CircleSegmentsVisualizer.Instance

Show unclustered Pairs in CircleSegments

showValues(NumberFormat) - Method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGScoreBar

To show score values, set a number format

showVisualization(VisualizerContext, SimilarityMatrixVisualizer, VisualizationTask) - Method in class de.lmu.ifi.dbs.elki.application.greedyensemble.VisualizePairwiseGainMatrix

Show a single visualization.

shrinkHeap(TreeSet<DoubleDBIDPair>, int) - Static method in class de.lmu.ifi.dbs.elki.algorithm.statistics.DistanceStatisticsWithClasses

Shrink the heap of "hot" (extreme) items.

ShuffleObjectsFilter - Class in de.lmu.ifi.dbs.elki.datasource.filter.selection

A filter to shuffle the dataset.

ShuffleObjectsFilter(RandomFactory) - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.selection.ShuffleObjectsFilter

Constructor.

ShuffleObjectsFilter.Parameterizer - Class in de.lmu.ifi.dbs.elki.datasource.filter.selection

Parameterization class.

ShuffleObjectsFilter.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.selection.ShuffleObjectsFilter.Parameterizer

shutdown - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.thumbs.ThumbnailThread

Flag to signal shutdown.

SHUTDOWN() - Static method in class de.lmu.ifi.dbs.elki.visualization.visualizers.thumbs.ThumbnailThread

Shutdown the thumbnailer thread.

shutdown() - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.thumbs.ThumbnailThread

Set the shutdown flag.

sibling - Variable in class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.FPGrowth.FPNode

Parent node and next in sequence.

sigma - Variable in class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.LaplaceKernelFunction.Parameterizer

Sigma parameter

sigma - Variable in class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.RadialBasisFunctionKernelFunction.Parameterizer

Sigma parameter

sigma - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.GeneralizedExtremeValueDistribution.Parameterizer

Parameters.

sigma - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.GeneralizedExtremeValueDistribution

Parameters (location, scale, shape)

sigma - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.GeneralizedParetoDistribution.Parameterizer

Parameters.

sigma - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.GeneralizedParetoDistribution

Parameters (location, scale, shape)

sigma - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.NormalDistribution.Parameterizer

Parameters.

sigma - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.RayleighDistribution

Scale parameter.

sigma - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.SkewGeneralizedNormalDistribution.Parameterizer

Parameters.

sigma - Variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.MixtureModelOutlierScalingFunction

Parameter sigma of the gaussian distribution (outliers)

sigma - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster.EMClusterVisualization

Constants for quantiles of standard deviation

SIGMA_ID - Static variable in class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.LaplaceKernelFunction.Parameterizer

Sigma parameter: standard deviation.

SIGMA_ID - Static variable in class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.RadialBasisFunctionKernelFunction.Parameterizer

Sigma parameter: standard deviation.

SigmoidKernelFunction - Class in de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel

Sigmoid kernel function (aka: hyperbolic tangent kernel, multilayer perceptron MLP kernel).

SigmoidKernelFunction(double, double) - Constructor for class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.SigmoidKernelFunction

Constructor.

SigmoidKernelFunction.Parameterizer - Class in de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel

Parameterization class.

SigmoidKernelFunction.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.SigmoidKernelFunction.Parameterizer

SigmoidOutlierScalingFunction - Class in de.lmu.ifi.dbs.elki.utilities.scaling.outlier

Tries to fit a sigmoid to the outlier scores and use it to convert the values to probability estimates in the range of 0.0 to 1.0 Reference: J.

SigmoidOutlierScalingFunction() - Constructor for class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.SigmoidOutlierScalingFunction

SignificantEigenPairFilter - Class in de.lmu.ifi.dbs.elki.math.linearalgebra.pca

The SignificantEigenPairFilter sorts the eigenpairs in descending order of their eigenvalues and chooses the contrast of an Eigenvalue to the remaining Eigenvalues is maximal.

SignificantEigenPairFilter(double) - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.SignificantEigenPairFilter

Constructor.

SignificantEigenPairFilter.Parameterizer - Class in de.lmu.ifi.dbs.elki.math.linearalgebra.pca

Parameterization class.

SignificantEigenPairFilter.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.SignificantEigenPairFilter.Parameterizer

SilhouetteOutlierDetection<O> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.clustering

Outlier detection by using the Silhouette Coefficients.

SilhouetteOutlierDetection(DistanceFunction<? super O>, ClusteringAlgorithm<?>, NoiseHandling) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.clustering.SilhouetteOutlierDetection

Constructor.

SilhouetteOutlierDetection.Parameterizer<O> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.clustering

Parameterizer.

SilhouetteOutlierDetection.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.clustering.SilhouetteOutlierDetection.Parameterizer

sim - Variable in class de.lmu.ifi.dbs.elki.math.dimensionsimilarity.DimensionSimilarityMatrix

Flat, symmetric storage.

SIM_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.subspace.SOD.Parameterizer

Parameter for the similarity function.

similarity - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.affinitypropagation.SimilarityBasedInitializationWithMedian.Parameterizer

Similarity function.

similarity - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.affinitypropagation.SimilarityBasedInitializationWithMedian

Similarity function.

similarity(DBIDRef, DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.query.distance.PrimitiveDistanceSimilarityQuery

similarity(O, DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.query.distance.PrimitiveDistanceSimilarityQuery

similarity(DBIDRef, O) - Method in class de.lmu.ifi.dbs.elki.database.query.distance.PrimitiveDistanceSimilarityQuery

similarity(O, O) - Method in class de.lmu.ifi.dbs.elki.database.query.distance.PrimitiveDistanceSimilarityQuery

similarity(O, DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.query.similarity.AbstractDBIDSimilarityQuery

similarity(DBIDRef, O) - Method in class de.lmu.ifi.dbs.elki.database.query.similarity.AbstractDBIDSimilarityQuery

similarity(O, O) - Method in class de.lmu.ifi.dbs.elki.database.query.similarity.AbstractDBIDSimilarityQuery

similarity(DBIDRef, DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.query.similarity.AbstractSimilarityQuery

Returns the distance between the two objects specified by their object ids.

similarity(O, DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.query.similarity.AbstractSimilarityQuery

Returns the distance between the two objects specified by their object ids.

similarity(DBIDRef, O) - Method in class de.lmu.ifi.dbs.elki.database.query.similarity.AbstractSimilarityQuery

Returns the distance between the two objects specified by their object ids.

similarity(O, O) - Method in class de.lmu.ifi.dbs.elki.database.query.similarity.AbstractSimilarityQuery

Returns the distance between the two objects specified by their object ids.

similarity(DBIDRef, DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.query.similarity.PrimitiveSimilarityQuery

similarity(O, DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.query.similarity.PrimitiveSimilarityQuery

similarity(DBIDRef, O) - Method in class de.lmu.ifi.dbs.elki.database.query.similarity.PrimitiveSimilarityQuery

similarity(O, O) - Method in class de.lmu.ifi.dbs.elki.database.query.similarity.PrimitiveSimilarityQuery

similarity(DBIDRef, DBIDRef) - Method in interface de.lmu.ifi.dbs.elki.database.query.similarity.SimilarityQuery

Returns the similarity between the two objects specified by their object ids.

similarity(O, DBIDRef) - Method in interface de.lmu.ifi.dbs.elki.database.query.similarity.SimilarityQuery

Returns the similarity between the two objects specified by their object ids.

similarity(DBIDRef, O) - Method in interface de.lmu.ifi.dbs.elki.database.query.similarity.SimilarityQuery

Returns the similarity between the two objects specified by their object ids.

similarity(O, O) - Method in interface de.lmu.ifi.dbs.elki.database.query.similarity.SimilarityQuery

Returns the similarity between the two objects specified by their object ids.

similarity(NumberVector, NumberVector) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.probabilistic.HellingerDistanceFunction

similarity(O, O) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.set.JaccardSimilarityDistanceFunction

similarity(O, O) - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.AbstractPrimitiveSimilarityFunction

similarity(Clustering<?>, Clustering<?>) - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.cluster.ClusteringAdjustedRandIndexSimilarityFunction

similarity(Clustering<?>, Clustering<?>) - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.cluster.ClusteringBCubedF1SimilarityFunction

similarity(Clustering<?>, Clustering<?>) - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.cluster.ClusteringFowlkesMallowsSimilarityFunction

similarity(Clustering<?>, Clustering<?>) - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.cluster.ClusteringRandIndexSimilarityFunction

similarity(Cluster<?>, Cluster<?>) - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.cluster.ClusterIntersectionSimilarityFunction

similarity(Cluster<?>, Cluster<?>) - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.cluster.ClusterJaccardSimilarityFunction

similarity(DBID, DBID) - Method in interface de.lmu.ifi.dbs.elki.distance.similarityfunction.DBIDSimilarityFunction

Computes the similarity between two given DatabaseObjects according to this similarity function.

similarity(DBIDRef, DBIDRef) - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.FractionalSharedNearestNeighborSimilarityFunction.Instance

similarity(O, O) - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.InvertedDistanceSimilarityFunction

similarity(NumberVector, NumberVector) - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.LaplaceKernelFunction

similarity(NumberVector, NumberVector) - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.LinearKernelFunction

similarity(NumberVector, NumberVector) - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.PolynomialKernelFunction

similarity(NumberVector, NumberVector) - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.RadialBasisFunctionKernelFunction

similarity(NumberVector, NumberVector) - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.RationalQuadraticKernelFunction

similarity(NumberVector, NumberVector) - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.SigmoidKernelFunction

similarity(NumberVector, NumberVector) - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.Kulczynski1SimilarityFunction

similarity(NumberVector, NumberVector) - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.Kulczynski2SimilarityFunction

similarity(O, O) - Method in interface de.lmu.ifi.dbs.elki.distance.similarityfunction.PrimitiveSimilarityFunction

Computes the similarity between two given DatabaseObjects according to this similarity function.

similarity(DBIDRef, DBIDRef) - Method in class de.lmu.ifi.dbs.elki.distance.similarityfunction.SharedNearestNeighborSimilarityFunction.Instance

SIMILARITY_FUNCTION_ID - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.adapter.AbstractSimilarityAdapter.Parameterizer

Parameter to specify the similarity function to derive the distance between database objects from.

SIMILARITY_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.affinitypropagation.SimilarityBasedInitializationWithMedian.Parameterizer

Parameter for the similarity function.

SimilarityBasedInitializationWithMedian<O> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.affinitypropagation

Similarity based initialization.

SimilarityBasedInitializationWithMedian(SimilarityFunction<? super O>, double) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.affinitypropagation.SimilarityBasedInitializationWithMedian

Constructor.

SimilarityBasedInitializationWithMedian.Parameterizer<O> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.affinitypropagation

Parameterization class.

SimilarityBasedInitializationWithMedian.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.affinitypropagation.SimilarityBasedInitializationWithMedian.Parameterizer

similarityFunction - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.SNNClustering.Parameterizer

similarityFunction - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.SNNClustering

The similarity function for the shared nearest neighbor similarity.

similarityFunction - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.subspace.SOD.Parameterizer

The similarity function.

similarityFunction - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.subspace.SOD

Similarity function to use.

similarityFunction - Variable in class de.lmu.ifi.dbs.elki.database.query.distance.PrimitiveDistanceSimilarityQuery

Typed reference to the similarity function (usually the same as the distance function!)

similarityFunction - Variable in class de.lmu.ifi.dbs.elki.database.query.similarity.PrimitiveSimilarityQuery

The distance function we use.

similarityFunction - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.adapter.AbstractSimilarityAdapter.Parameterizer

Holds the similarity function.

similarityFunction - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.adapter.AbstractSimilarityAdapter

Holds the similarity function.

similarityFunction - Variable in class de.lmu.ifi.dbs.elki.distance.similarityfunction.FractionalSharedNearestNeighborSimilarityFunction.Instance

Similarity function.

similarityFunction - Variable in class de.lmu.ifi.dbs.elki.distance.similarityfunction.SharedNearestNeighborSimilarityFunction.Instance

Similarity function.

SimilarityFunction<O> - Interface in de.lmu.ifi.dbs.elki.distance.similarityfunction

Interface SimilarityFunction describes the requirements of any similarity function.

similarityMatrix - Variable in class de.lmu.ifi.dbs.elki.data.model.CorrelationAnalysisSolution

The similarity matrix of the pca.

similarityMatrix() - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PCAFilteredResult

Returns the similarity matrix (M_hat) of this LocalPCA.

similarityMatrix() - Method in interface de.lmu.ifi.dbs.elki.math.linearalgebra.ProjectionResult

Projection matrix

SimilarityMatrixVisualizer - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj

Visualize a similarity matrix with object labels

SimilarityMatrixVisualizer() - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.SimilarityMatrixVisualizer

Constructor.

SimilarityMatrixVisualizer.Instance - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj

Instance

SimilarityMatrixVisualizer.Instance(VisualizationTask, VisualizationPlot, double, double) - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.SimilarityMatrixVisualizer.Instance

Constructor.

similarityNumberVector(NumberVector, NumberVector) - Static method in class de.lmu.ifi.dbs.elki.distance.distancefunction.set.JaccardSimilarityDistanceFunction

Compute Jaccard similarity for two number vectors.

SimilarityQuery<O> - Interface in de.lmu.ifi.dbs.elki.database.query.similarity

A similarity query serves as adapter layer for database and primitive similarity functions.

similarityQuery - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.adapter.AbstractSimilarityAdapter.Instance

The similarity query we use.

Simple1D - Class in de.lmu.ifi.dbs.elki.visualization.projections

Dimension-selecting 1D projection.

Simple1D(Projector, LinearScale[], int) - Constructor for class de.lmu.ifi.dbs.elki.visualization.projections.Simple1D

Simple 1D projection using scaling only.

Simple2D - Class in de.lmu.ifi.dbs.elki.visualization.projections

Dimension-selecting 2D projection.

Simple2D(Projector, LinearScale[], int, int) - Constructor for class de.lmu.ifi.dbs.elki.visualization.projections.Simple2D

Constructor with a given database and axes.

SIMPLE_CLASSLABEL - Static variable in class de.lmu.ifi.dbs.elki.data.type.TypeUtil

Simple class labels.

SIMPLE_TYPE_SERIALIZER - Static variable in class de.lmu.ifi.dbs.elki.data.type.TypeInformationSerializer

Serializer for simple types only.

SimpleAdapter - Class in de.lmu.ifi.dbs.elki.evaluation.scores.adapter

This adapter can be used for an arbitrary collection of Integers, and uses that id1.compareTo(id2) !

SimpleAdapter(DBIDIter) - Constructor for class de.lmu.ifi.dbs.elki.evaluation.scores.adapter.SimpleAdapter

Constructor

SimpleClassLabel - Class in de.lmu.ifi.dbs.elki.data

A simple class label casting a String as it is as label.

SimpleClassLabel(String) - Constructor for class de.lmu.ifi.dbs.elki.data.SimpleClassLabel

Constructor.

SimpleClassLabel.Factory - Class in de.lmu.ifi.dbs.elki.data

Factory class.

SimpleClassLabel.Factory() - Constructor for class de.lmu.ifi.dbs.elki.data.SimpleClassLabel.Factory

SimpleClassLabel.Serializer - Class in de.lmu.ifi.dbs.elki.data

Serialization class.

SimpleClassLabel.Serializer() - Constructor for class de.lmu.ifi.dbs.elki.data.SimpleClassLabel.Serializer

SimpleCOP<V extends NumberVector> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier

Algorithm to compute local correlation outlier probability.

SimpleCOP(DistanceFunction<? super V>, int, PCAFilteredRunner) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.SimpleCOP

Constructor.

SimpleCOP.Parameterizer<V extends NumberVector> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier

Parameterization class.

SimpleCOP.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.SimpleCOP.Parameterizer

SimpleDBIDFactory - Class in de.lmu.ifi.dbs.elki.database.ids.integer

Simple DBID management, that never reuses IDs.

SimpleDBIDFactory() - Constructor for class de.lmu.ifi.dbs.elki.database.ids.integer.SimpleDBIDFactory

Constructor.

SimpleEnumeratingScheme - Class in de.lmu.ifi.dbs.elki.result.textwriter.naming

Simple enumerating naming scheme.

SimpleEnumeratingScheme(Clustering<?>) - Constructor for class de.lmu.ifi.dbs.elki.result.textwriter.naming.SimpleEnumeratingScheme

Constructor.

SimpleGaussianContinuousUncertainObject - Class in de.lmu.ifi.dbs.elki.data.uncertain

Gaussian model for uncertain objects, sampled from a 3-sigma bounding box.

SimpleGaussianContinuousUncertainObject(SpatialComparable) - Constructor for class de.lmu.ifi.dbs.elki.data.uncertain.SimpleGaussianContinuousUncertainObject

Constructor.

SimpleGaussianContinuousUncertainObject.Factory - Class in de.lmu.ifi.dbs.elki.data.uncertain

Factory class for this data type.

SimpleGaussianContinuousUncertainObject.Factory() - Constructor for class de.lmu.ifi.dbs.elki.data.uncertain.SimpleGaussianContinuousUncertainObject.Factory

SimpleGaussianUncertainifier - Class in de.lmu.ifi.dbs.elki.data.uncertain.uncertainifier

Vector factory

SimpleGaussianUncertainifier(double, double, boolean) - Constructor for class de.lmu.ifi.dbs.elki.data.uncertain.uncertainifier.SimpleGaussianUncertainifier

Constructor.

SimpleGaussianUncertainifier.Parameterizer - Class in de.lmu.ifi.dbs.elki.data.uncertain.uncertainifier

Parameterizer class.

SimpleGaussianUncertainifier.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.data.uncertain.uncertainifier.SimpleGaussianUncertainifier.Parameterizer

SimpleKernelDensityLOF<O extends NumberVector> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.lof

A simple variant of the LOF algorithm, which uses a simple kernel density estimation instead of the local reachability density.

SimpleKernelDensityLOF(int, DistanceFunction<? super O>, KernelDensityFunction) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.SimpleKernelDensityLOF

Constructor.

SimpleKernelDensityLOF.Parameterizer<O extends NumberVector> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.lof

Parameterization class.

SimpleKernelDensityLOF.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.SimpleKernelDensityLOF.Parameterizer

SimpleOutlierEnsemble - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.meta

Simple outlier ensemble method.

SimpleOutlierEnsemble(List<OutlierAlgorithm>, EnsembleVoting) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.meta.SimpleOutlierEnsemble

Constructor.

SimpleOutlierEnsemble.Parameterizer - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.meta

Parameterization class.

SimpleOutlierEnsemble.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.meta.SimpleOutlierEnsemble.Parameterizer

SimpleParallel - Class in de.lmu.ifi.dbs.elki.visualization.projections

Simple parallel projection Scaled space: reordered, scaled and inverted.

SimpleParallel(Projector, LinearScale[]) - Constructor for class de.lmu.ifi.dbs.elki.visualization.projections.SimpleParallel

Constructor.

SimplePolygonParser - Class in de.lmu.ifi.dbs.elki.datasource.parser

Parser to load polygon data (2D and 3D only) from a simple format.

SimplePolygonParser(CSVReaderFormat) - Constructor for class de.lmu.ifi.dbs.elki.datasource.parser.SimplePolygonParser

Constructor.

SimplePolygonParser.Parameterizer - Class in de.lmu.ifi.dbs.elki.datasource.parser

Parameterization class.

SimplePolygonParser.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.datasource.parser.SimplePolygonParser.Parameterizer

SimpleSVGViewer - Class in de.lmu.ifi.dbs.elki.visualization.gui

A minimalistic SVG viewer with export dialog.

SimpleSVGViewer() - Constructor for class de.lmu.ifi.dbs.elki.visualization.gui.SimpleSVGViewer

Constructor.

simpleTest(double[]) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.tests.KolmogorovSmirnovTest

Simplest version of the test: test if a sorted array is approximately uniform distributed on [0:1].

simpleTest(double[], double, double) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.tests.KolmogorovSmirnovTest

Simplest version of the test: test if a sorted array is approximately uniform distributed on the given interval.

SimpleTransactionParser - Class in de.lmu.ifi.dbs.elki.datasource.parser

Simple parser for transactional data, such as market baskets.

SimpleTransactionParser(CSVReaderFormat) - Constructor for class de.lmu.ifi.dbs.elki.datasource.parser.SimpleTransactionParser

Constructor.

SimpleTransactionParser.Parameterizer - Class in de.lmu.ifi.dbs.elki.datasource.parser

Parameterization class.

SimpleTransactionParser.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.datasource.parser.SimpleTransactionParser.Parameterizer

SimpleTypeInformation<T> - Class in de.lmu.ifi.dbs.elki.data.type

Class wrapping a particular data type.

SimpleTypeInformation(Class<? super T>) - Constructor for class de.lmu.ifi.dbs.elki.data.type.SimpleTypeInformation

Constructor.

SimpleTypeInformation(Class<? super T>, String) - Constructor for class de.lmu.ifi.dbs.elki.data.type.SimpleTypeInformation

Constructor.

SimpleTypeInformation(Class<? super T>, ByteBufferSerializer<? super T>) - Constructor for class de.lmu.ifi.dbs.elki.data.type.SimpleTypeInformation

Constructor.

SimpleTypeInformation(Class<? super T>, String, ByteBufferSerializer<? super T>) - Constructor for class de.lmu.ifi.dbs.elki.data.type.SimpleTypeInformation

Constructor.

SimplifiedCoverTree<O> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.covertree

Simplified cover tree data structure (in-memory).

SimplifiedCoverTree(Relation<O>, DistanceFunction<? super O>, double, int) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.covertree.SimplifiedCoverTree

Constructor.

SimplifiedCoverTree.CoverTreeKNNQuery - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.covertree

KNN Query class.

SimplifiedCoverTree.CoverTreeKNNQuery(DistanceQuery<O>) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.covertree.SimplifiedCoverTree.CoverTreeKNNQuery

Constructor.

SimplifiedCoverTree.CoverTreeRangeQuery - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.covertree

Range query class.

SimplifiedCoverTree.CoverTreeRangeQuery(DistanceQuery<O>) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.covertree.SimplifiedCoverTree.CoverTreeRangeQuery

Constructor.

SimplifiedCoverTree.Factory<O> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.covertree

Index factory.

SimplifiedCoverTree.Factory(DistanceFunction<? super O>, double, int) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.covertree.SimplifiedCoverTree.Factory

Constructor.

SimplifiedCoverTree.Factory.Parameterizer<O> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.covertree

Parameterization class.

SimplifiedCoverTree.Factory.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.covertree.SimplifiedCoverTree.Factory.Parameterizer

SimplifiedCoverTree.Node - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.covertree

Node object.

SimplifiedCoverTree.Node(DBIDRef, double) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.covertree.SimplifiedCoverTree.Node

Constructor.

SimplifiedCoverTree.Node(DBIDRef, double, DoubleDBIDList) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.covertree.SimplifiedCoverTree.Node

Constructor for leaf node.

SimplifiedHierarchyExtraction - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.extraction

Extraction of simplified cluster hierarchies, as proposed in HDBSCAN.

SimplifiedHierarchyExtraction(HierarchicalClusteringAlgorithm, int) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.extraction.SimplifiedHierarchyExtraction

Constructor.

SimplifiedHierarchyExtraction.Parameterizer - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.extraction

Parameterization class.

SimplifiedHierarchyExtraction.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.extraction.SimplifiedHierarchyExtraction.Parameterizer

SimplifiedHierarchyExtraction.TempCluster - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.extraction

Temporary cluster.

SimplifiedHierarchyExtraction.TempCluster(double) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.extraction.SimplifiedHierarchyExtraction.TempCluster

Constructor.

SimplifiedHierarchyExtractionEvaluator - Class in de.lmu.ifi.dbs.elki.evaluation.clustering.extractor

Extract clusters from a hierarchical clustering, during the evaluation phase.

SimplifiedHierarchyExtractionEvaluator(SimplifiedHierarchyExtraction) - Constructor for class de.lmu.ifi.dbs.elki.evaluation.clustering.extractor.SimplifiedHierarchyExtractionEvaluator

Constructor.

SimplifiedHierarchyExtractionEvaluator.Parameterizer - Class in de.lmu.ifi.dbs.elki.evaluation.clustering.extractor

Parameterization class.

SimplifiedHierarchyExtractionEvaluator.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.evaluation.clustering.extractor.SimplifiedHierarchyExtractionEvaluator.Parameterizer

SimplifiedLOF<O> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.lof

A simplified version of the original LOF algorithm, which does not use the reachability distance, yielding less stable results on inliers.

SimplifiedLOF(int, DistanceFunction<? super O>) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.SimplifiedLOF

Constructor.

SimplifiedLOF.Parameterizer<O> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.lof

Parameterization class.

SimplifiedLOF.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.SimplifiedLOF.Parameterizer

SimplifiedLRDProcessor - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.lof.parallel

Processor for the "local reachability density" of LOF.

SimplifiedLRDProcessor(DataStore<? extends KNNList>) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.parallel.SimplifiedLRDProcessor

Constructor.

SimplifiedLRDProcessor.Instance - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.lof.parallel

Instance

SimplifiedLRDProcessor.Instance(SharedDouble.Instance) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.parallel.SimplifiedLRDProcessor.Instance

Constructor.

SimplifiedRandomHyperplaneProjectionFamily - Class in de.lmu.ifi.dbs.elki.math.linearalgebra.randomprojections

Random hyperplane projection family.

SimplifiedRandomHyperplaneProjectionFamily(RandomFactory) - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.randomprojections.SimplifiedRandomHyperplaneProjectionFamily

Constructor.

SimplifiedRandomHyperplaneProjectionFamily.Parameterizer - Class in de.lmu.ifi.dbs.elki.math.linearalgebra.randomprojections

Parameterization class.

SimplifiedRandomHyperplaneProjectionFamily.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.randomprojections.SimplifiedRandomHyperplaneProjectionFamily.Parameterizer

SimplifiedRandomHyperplaneProjectionFamily.SignedProjection - Class in de.lmu.ifi.dbs.elki.math.linearalgebra.randomprojections

Fast projection class, using booleans to represent +-1 matrix entries.

SimplifiedRandomHyperplaneProjectionFamily.SignedProjection(int, int, Random) - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.randomprojections.SimplifiedRandomHyperplaneProjectionFamily.SignedProjection

Constructor.

simplify - Variable in class de.lmu.ifi.dbs.elki.visualization.gui.ResultWindow.DynamicMenu

Simplify the menu.

simplifyTree(MutableTreeNode, String) - Static method in class de.lmu.ifi.dbs.elki.gui.util.ClassTree

Simplify the tree.

simulateParameters(double[]) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.fitting.LevenbergMarquardtMethod

Compute new chisquared error This function also modifies the alpha and beta matrixes!

sin(int) - Method in class de.lmu.ifi.dbs.elki.math.SinCosTable.FullTable

Get Sinus by step value.

sin(int) - Method in class de.lmu.ifi.dbs.elki.math.SinCosTable.HalfTable

Get Sinus by step value.

sin(int) - Method in class de.lmu.ifi.dbs.elki.math.SinCosTable.QuarterTable

Get Sinus by step value.

sin(int) - Method in class de.lmu.ifi.dbs.elki.math.SinCosTable

Get Sinus by step value.

SinCosTable - Class in de.lmu.ifi.dbs.elki.math

Class to precompute / cache Sinus and Cosinus values.

SinCosTable(int) - Constructor for class de.lmu.ifi.dbs.elki.math.SinCosTable

Constructor.

SinCosTable.FullTable - Class in de.lmu.ifi.dbs.elki.math

Table that can't exploit much symmetry, because the steps are not divisible by 2.

SinCosTable.FullTable(int) - Constructor for class de.lmu.ifi.dbs.elki.math.SinCosTable.FullTable

Constructor for tables with

SinCosTable.HalfTable - Class in de.lmu.ifi.dbs.elki.math

Table that exploits just one symmetry, as the number of steps is divisible by two.

SinCosTable.HalfTable(int) - Constructor for class de.lmu.ifi.dbs.elki.math.SinCosTable.HalfTable

Constructor for tables with

SinCosTable.QuarterTable - Class in de.lmu.ifi.dbs.elki.math

Table that exploits both symmetries, as the number of steps is divisible by four.

SinCosTable.QuarterTable(int) - Constructor for class de.lmu.ifi.dbs.elki.math.SinCosTable.QuarterTable

Constructor for tables with

single - Variable in class de.lmu.ifi.dbs.elki.result.AutomaticVisualization.Parameterizer

Single view mode.

single - Variable in class de.lmu.ifi.dbs.elki.result.AutomaticVisualization

Single view mode

single - Variable in class de.lmu.ifi.dbs.elki.visualization.gui.overview.OverviewPlot

Single view mode

single - Variable in class de.lmu.ifi.dbs.elki.visualization.gui.ResultWindow

Single view mode.

SINGLE_ID - Static variable in class de.lmu.ifi.dbs.elki.result.AutomaticVisualization.Parameterizer

Flag to set single display Key: -vis.single

singleAssignment(Relation<?>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.trivial.ByLabelClustering

Assigns the objects of the database to single clusters according to their labels.

SingleAssignmentKMeans<V extends NumberVector> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans

Pseudo-k-Means variations, that assigns each object to the nearest center.

SingleAssignmentKMeans(NumberVectorDistanceFunction<? super V>, int, KMeansInitialization<? super V>) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.SingleAssignmentKMeans

Constructor.

SingleAssignmentKMeans.Parameterizer<V extends NumberVector> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans

Parameterization class.

SingleAssignmentKMeans.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.SingleAssignmentKMeans.Parameterizer

singleEnsemble(double[], NumberVector) - Method in class de.lmu.ifi.dbs.elki.application.greedyensemble.GreedyEnsembleExperiment

Build a single-element "ensemble".

singleIteration(Relation<V>, Relation<? extends NumberVector>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.CTLuGLSBackwardSearchAlgorithm

Run a single iteration of the GLS-SOD modeling step

SingleLinkageMethod - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical

Single-linkage clustering method.

SingleLinkageMethod() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.SingleLinkageMethod

Deprecated.

use the static instance SingleLinkageMethod.STATIC instead.

SingleLinkageMethod.Parameterizer - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical

Class parameterizer.

SingleLinkageMethod.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.SingleLinkageMethod.Parameterizer

singleNodeDeletion(double[][], ChengAndChurch.BiclusterCandidate) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.biclustering.ChengAndChurch

Algorithm 1 of Cheng and Church: Remove single rows or columns.

SingleObjectBundle - Class in de.lmu.ifi.dbs.elki.datasource.bundle

This class represents a "packaged" object, which is a transfer container for objects e.g. from parsers to a database.

SingleObjectBundle() - Constructor for class de.lmu.ifi.dbs.elki.datasource.bundle.SingleObjectBundle

Constructor.

SingleObjectBundle(BundleMeta, List<Object>) - Constructor for class de.lmu.ifi.dbs.elki.datasource.bundle.SingleObjectBundle

Constructor.

SingleObjectBundle(BundleMeta, DBID, List<Object>) - Constructor for class de.lmu.ifi.dbs.elki.datasource.bundle.SingleObjectBundle

Constructor.

SingleObjectsStylingPolicy - Interface in de.lmu.ifi.dbs.elki.visualization.style

Styling policy based on assigning objects individual colors.

SingleStreamOutput - Class in de.lmu.ifi.dbs.elki.result.textwriter

Class to output all result data to a single stream (e.g.

SingleStreamOutput() - Constructor for class de.lmu.ifi.dbs.elki.result.textwriter.SingleStreamOutput

Constructor using stdout.

SingleStreamOutput(boolean) - Constructor for class de.lmu.ifi.dbs.elki.result.textwriter.SingleStreamOutput

Constructor using stdout

SingleStreamOutput(File) - Constructor for class de.lmu.ifi.dbs.elki.result.textwriter.SingleStreamOutput

Constructor with given file name.

SingleStreamOutput(File, boolean) - Constructor for class de.lmu.ifi.dbs.elki.result.textwriter.SingleStreamOutput

Constructor with given file name.

SingleStreamOutput(FileDescriptor) - Constructor for class de.lmu.ifi.dbs.elki.result.textwriter.SingleStreamOutput

Constructor with given FileDescriptor

SingleStreamOutput(FileDescriptor, boolean) - Constructor for class de.lmu.ifi.dbs.elki.result.textwriter.SingleStreamOutput

Constructor with given FileDescriptor

SingleStreamOutput(FileOutputStream) - Constructor for class de.lmu.ifi.dbs.elki.result.textwriter.SingleStreamOutput

Constructor with given FileOutputStream.

SingleStreamOutput(FileOutputStream, boolean) - Constructor for class de.lmu.ifi.dbs.elki.result.textwriter.SingleStreamOutput

Constructor with given FileOutputStream.

SingleSubsetArrayAdapter<T,A> - Class in de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike

Single-item subset adapter

SingleSubsetArrayAdapter(ArrayAdapter<T, ? super A>, int) - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike.SingleSubsetArrayAdapter

Constructor.

SingleThreadedExecutor - Class in de.lmu.ifi.dbs.elki.parallel

Class to process the whole data set in a single thread.

SingleThreadedExecutor() - Constructor for class de.lmu.ifi.dbs.elki.parallel.SingleThreadedExecutor

SingleThreadedExecutor.SingleThreadedRunner - Class in de.lmu.ifi.dbs.elki.parallel

Run for an array part, without step size.

SingleThreadedExecutor.SingleThreadedRunner(DBIDs, Processor[]) - Constructor for class de.lmu.ifi.dbs.elki.parallel.SingleThreadedExecutor.SingleThreadedRunner

Constructor.

singletons - Variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.covertree.CoverTree.Node

Objects in this node.

singletons - Variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.covertree.SimplifiedCoverTree.Node

Objects in this node.

SINGULARITY_CHEAT - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.GaussianModel

Small value to increment diagonally of a matrix in order to avoid singularity before building the inverse.

SINGULARITY_CHEAT - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.GaussianUniformMixture

Small value to increment diagonally of a matrix in order to avoid singularity before building the inverse.

SINGULARITY_CHEAT - Static variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix

Small value to increment diagonally of a matrix in order to avoid singularity before building the inverse.

SingularValueDecomposition - Class in de.lmu.ifi.dbs.elki.math.linearalgebra

Singular Value Decomposition.

SingularValueDecomposition(Matrix) - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.SingularValueDecomposition

Construct the singular value decomposition

SingularValueDecomposition(double[][]) - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.SingularValueDecomposition

Constructor.

sintable - Variable in class de.lmu.ifi.dbs.elki.math.SinCosTable.FullTable

Data store

sintable - Variable in class de.lmu.ifi.dbs.elki.math.SinCosTable.HalfTable

Data store

sinToCos(double, double) - Static method in class de.lmu.ifi.dbs.elki.math.MathUtil

Fast way of computing cos(x) from x and sin(x).

sinusProduct(int, int, double[]) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.cash.ParameterizationFunction

Computes the product of all sinus values of the specified angles from start to end index.

sinusProduct(int, int, double[]) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.CASH

Computes the product of all sinus values of the specified angles from start to end index.

size() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.COPACNeighborPredicate.COPACModel

size(ArrayDBIDs) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.AbstractHDBSCAN.HDBSCANAdapter

size() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.optics.ClusterOrder

Size.

size - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.LOCI.DoubleIntArrayList

Used size

size() - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.LOCI.DoubleIntArrayList

Collection size.

size() - Method in class de.lmu.ifi.dbs.elki.data.Cluster

Delegate to database object group.

size() - Method in class de.lmu.ifi.dbs.elki.data.LabelList

Size of label list.

size() - Method in class de.lmu.ifi.dbs.elki.data.spatial.Polygon

Get the polygon length.

size - Variable in class de.lmu.ifi.dbs.elki.data.synthetic.bymodel.GeneratorSingleCluster

Number of points in the cluster (-> density)

size() - Method in interface de.lmu.ifi.dbs.elki.database.ids.ArrayDBIDs

Size of the DBID "collection".

size() - Method in interface de.lmu.ifi.dbs.elki.database.ids.DBIDs

Retrieve the collection / data size.

size() - Method in interface de.lmu.ifi.dbs.elki.database.ids.DoubleDBIDList

size() - Method in class de.lmu.ifi.dbs.elki.database.ids.EmptyDBIDs

size - Variable in class de.lmu.ifi.dbs.elki.database.ids.generic.KNNSubList

Actual size, including ties.

size() - Method in class de.lmu.ifi.dbs.elki.database.ids.generic.KNNSubList

size() - Method in class de.lmu.ifi.dbs.elki.database.ids.generic.MaskedDBIDs

size() - Method in class de.lmu.ifi.dbs.elki.database.ids.generic.UnmodifiableArrayDBIDs

size() - Method in class de.lmu.ifi.dbs.elki.database.ids.generic.UnmodifiableDBIDs

size - Variable in class de.lmu.ifi.dbs.elki.database.ids.integer.ArrayModifiableIntegerDBIDs

Occupied size.

size() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.ArrayModifiableIntegerDBIDs

size() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.ArrayModifiableIntegerDBIDs.Slice

size() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.ArrayStaticIntegerDBIDs

size() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.ArrayStaticIntegerDBIDs.Slice

size() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDKNNHeap

size - Variable in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDList

The size

size() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDList

size - Variable in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDPairKNNListHeap

Current size

size() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDPairKNNListHeap

size - Variable in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDPairList

The size

size() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDPairList

size() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBID

size - Variable in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDKNNSubList

Actual size, including ties.

size() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDKNNSubList

size() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDPair

size() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDPair.Slice

size() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDRange

size() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDVar

size() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.TroveHashSetModifiableDBIDs

size() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.UnmodifiableIntegerArrayDBIDs

size() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.UnmodifiableIntegerDBIDs

size() - Method in interface de.lmu.ifi.dbs.elki.database.ids.KNNHeap

Current size of heap.

size() - Method in interface de.lmu.ifi.dbs.elki.database.ids.KNNList

Size

size() - Method in class de.lmu.ifi.dbs.elki.database.relation.ConvertToStringView

size() - Method in class de.lmu.ifi.dbs.elki.database.relation.DBIDView

size() - Method in class de.lmu.ifi.dbs.elki.database.relation.MaterializedDoubleRelation

size() - Method in class de.lmu.ifi.dbs.elki.database.relation.MaterializedRelation

size() - Method in class de.lmu.ifi.dbs.elki.database.relation.ProjectedView

size() - Method in class de.lmu.ifi.dbs.elki.database.relation.ProxyView

size() - Method in interface de.lmu.ifi.dbs.elki.database.relation.Relation

Get the number of DBIDs.

size() - Method in class de.lmu.ifi.dbs.elki.database.relation.RelationUtil.CollectionFromRelation

size(List<? extends NumberVector>) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise.AttributeWiseBetaNormalization.Adapter

size(List<? extends NumberVector>) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise.AttributeWiseCDFNormalization.Adapter

size - Variable in class de.lmu.ifi.dbs.elki.datasource.RandomDoubleVectorDatabaseConnection.Parameterizer

Database size.

size - Variable in class de.lmu.ifi.dbs.elki.datasource.RandomDoubleVectorDatabaseConnection

Size of database to generate.

size() - Method in class de.lmu.ifi.dbs.elki.evaluation.clustering.pairsegments.Segments

Get the number of segments

size() - Method in class de.lmu.ifi.dbs.elki.gui.util.DynamicParameters

Get the size

size() - Method in class de.lmu.ifi.dbs.elki.gui.util.SavedSettingsFile

Return number of saved settings profiles.

size - Variable in class de.lmu.ifi.dbs.elki.index.distancematrix.PrecomputedDistanceMatrix

Size of DBID range.

SIZE - Static variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.MkTreeHeader

The size of this header in Bytes, which is 4 Bytes (for MkTreeHeader.k_max).

size() - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.MkTreeHeader

Returns TreeIndexHeader.size() plus the value of MkTreeHeader.SIZE).

SIZE - Static variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn.RdKNNTreeHeader

The size of this header in Bytes, which is 4 Bytes (for RdKNNTreeHeader.k_max).

size() - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn.RdKNNTreeHeader

Returns TreeIndexHeader.size() plus the value of RdKNNTreeHeader.SIZE).

size - Variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.split.TopologicalSplitter.Split

List size.

size(AbstractNode<? extends SpatialEntry>) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.util.NodeArrayAdapter

SIZE - Static variable in class de.lmu.ifi.dbs.elki.index.tree.TreeIndexHeader

The size of this header in Bytes, which is 20 Bytes ( 4 Bytes for TreeIndexHeader.dirCapacity, TreeIndexHeader.leafCapacity, TreeIndexHeader.dirMinimum, TreeIndexHeader.leafMinimum, and TreeIndexHeader.emptyPagesSize).

size() - Method in class de.lmu.ifi.dbs.elki.index.tree.TreeIndexHeader

Returns DefaultPageHeader.size() plus the value of TreeIndexHeader.SIZE).

size() - Method in class de.lmu.ifi.dbs.elki.math.dimensionsimilarity.DimensionSimilarityMatrix.FullDimensionSimilarityMatrix

size() - Method in class de.lmu.ifi.dbs.elki.math.dimensionsimilarity.DimensionSimilarityMatrix.PartialDimensionSimilarityMatrix

size(DimensionSimilarityMatrix) - Method in class de.lmu.ifi.dbs.elki.math.dimensionsimilarity.DimensionSimilarityMatrix.PrimAdapter

size() - Method in class de.lmu.ifi.dbs.elki.math.dimensionsimilarity.DimensionSimilarityMatrix

Number of dimensions.

size(T) - Method in interface de.lmu.ifi.dbs.elki.math.geometry.PrimsMinimumSpanningTree.Adapter

Get number of objects in dataset

size(double[][]) - Method in class de.lmu.ifi.dbs.elki.math.geometry.PrimsMinimumSpanningTree.Array2DAdapter

size() - Method in class de.lmu.ifi.dbs.elki.math.geometry.XYCurve

Size of curve.

size() - Method in class de.lmu.ifi.dbs.elki.math.geometry.XYPlot.Curve

Size of curve.

size() - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.SortedEigenPairs

Returns the number of the eigenpairs.

size(NumberArrayAdapter<?, A>, A, NumberArrayAdapter<?, B>, B) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.dependence.AbstractDependenceMeasure

Validate the length of the two data sets (must be the same, and non-zero)

size(NumberArrayAdapter<?, A>, Collection<? extends A>) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.dependence.AbstractDependenceMeasure

Validate the length of the two data sets (must be the same, and non-zero)

size(A) - Method in class de.lmu.ifi.dbs.elki.math.statistics.intrinsicdimensionality.LMomentsEstimator.ReverseAdapter

SIZE - Static variable in class de.lmu.ifi.dbs.elki.persistent.DefaultPageHeader

The size of this header in Bytes, which is 8 Bytes ( 4 Bytes for DefaultPageHeader.FILE_VERSION and 4 Bytes for DefaultPageHeader.pageSize).

size() - Method in class de.lmu.ifi.dbs.elki.persistent.DefaultPageHeader

Returns the value of DefaultPageHeader.SIZE).

size() - Method in interface de.lmu.ifi.dbs.elki.persistent.PageHeader

Returns the size of this header in Bytes.

size() - Method in class de.lmu.ifi.dbs.elki.result.CollectionResult

Get the collection size.

size(A) - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike.ArrayAdapter

Get the size of the array.

size(ArrayDBIDs) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike.ArrayDBIDsAdapter

size - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike.DoubleArray

Number of numerical attributes.

size() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike.DoubleArray

Get the size of the array.

size(DoubleArray) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike.DoubleArray

size(double[]) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike.DoubleArrayAdapter

size - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike.ExtendedArray

Our size

size(ExtendedArray<T>) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike.ExtendedArray

size(FeatureVector<F>) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike.FeatureVectorAdapter

size(Matrix) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike.FlatMatrixAdapter

size(float[]) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike.FloatArrayAdapter

size(T) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike.IdentityArrayAdapter

size - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike.IntegerArray

Number of numerical attributes.

size() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike.IntegerArray

Get the size of the array.

size(IntegerArray) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike.IntegerArray

size(List<? extends T>) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike.ListArrayAdapter

size(A) - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike.NumberArrayAdapter

size(List<? extends T>) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike.NumberListArrayAdapter

size(NumberVector) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike.NumberVectorAdapter

size(A) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike.SingleSubsetArrayAdapter

size(A) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike.SubsetArrayAdapter

size(A) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike.SubsetNumberArrayAdapter

size(Vector) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike.VectorAdapter

size - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.ComparableMaxHeap

Current size of heap.

size() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.ComparableMaxHeap

size - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.ComparableMinHeap

Current size of heap.

size() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.ComparableMinHeap

size - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.ComparatorMaxHeap

Current size of heap.

size() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.ComparatorMaxHeap

size - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.ComparatorMinHeap

Current size of heap.

size() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.ComparatorMinHeap

size() - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleHeap

Query the size

size() - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleIntegerHeap

Query the size

size - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleIntegerMaxHeap

Current size of heap.

size() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleIntegerMaxHeap

size - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleIntegerMinHeap

Current size of heap.

size() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleIntegerMinHeap

size() - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleLongHeap

Query the size

size - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleLongMaxHeap

Current size of heap.

size() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleLongMaxHeap

size - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleLongMinHeap

Current size of heap.

size() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleLongMinHeap

size - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleMaxHeap

Current size of heap.

size() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleMaxHeap

size - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleMinHeap

Current size of heap.

size() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleMinHeap

size() - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleObjectHeap

Query the size

size - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleObjectMaxHeap

Current size of heap.

size() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleObjectMaxHeap

size - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleObjectMinHeap

Current size of heap.

size() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleObjectMinHeap

size - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.Heap

Current number of objects.

size() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.Heap

Get the heap size.

size() - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerHeap

Query the size

size - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerMaxHeap

Current size of heap.

size() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerMaxHeap

size - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerMinHeap

Current size of heap.

size() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerMinHeap

size() - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerObjectHeap

Query the size

size - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerObjectMaxHeap

Current size of heap.

size() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerObjectMaxHeap

size - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerObjectMinHeap

Current size of heap.

size() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerObjectMinHeap

size() - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.heap.ObjectHeap

Query the size

size() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.TiedTopBoundedHeap

size() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.TiedTopBoundedUpdatableHeap

size() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.HashMapHierarchy

size() - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.Hierarchy

Total size - number of objects contained.

size - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.AbstractStaticHistogram

Size of array storage.

size() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.unionfind.WeightedQuickUnionInteger

Number of allocated indexes.

size - Variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints.GlobalVectorListElementSizeConstraint

Integer parameter providing the size constraint.

size() - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.ClassListParameter

size() - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.DoubleArrayListParameter

size() - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.DoubleListParameter

size() - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.FileListParameter

size() - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.IntListParameter

size() - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.ListParameter

Size of the list.

size - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.AbstractParallelVisualization

viewbox size

size1 - Variable in class de.lmu.ifi.dbs.elki.evaluation.clustering.ClusterContingencyTable

Number of clusters.

size2 - Variable in class de.lmu.ifi.dbs.elki.evaluation.clustering.ClusterContingencyTable

Number of clusters.

SIZE_BYTE - Static variable in class de.lmu.ifi.dbs.elki.utilities.io.ByteArrayUtil

Size of a byte in bytes.

SIZE_DOUBLE - Static variable in class de.lmu.ifi.dbs.elki.utilities.io.ByteArrayUtil

Size of a double in bytes.

SIZE_FLOAT - Static variable in class de.lmu.ifi.dbs.elki.utilities.io.ByteArrayUtil

Size of a float in bytes.

SIZE_ID - Static variable in class de.lmu.ifi.dbs.elki.datasource.RandomDoubleVectorDatabaseConnection.Parameterizer

Parameter to specify the database size to generate.

SIZE_INT - Static variable in class de.lmu.ifi.dbs.elki.utilities.io.ByteArrayUtil

Size of an integer in bytes.

SIZE_LONG - Static variable in class de.lmu.ifi.dbs.elki.utilities.io.ByteArrayUtil

Size of a long in bytes.

SIZE_SCALE_ID - Static variable in class de.lmu.ifi.dbs.elki.datasource.GeneratorXMLDatabaseConnection.Parameterizer

Parameter to give the configuration file

SIZE_SHORT - Static variable in class de.lmu.ifi.dbs.elki.utilities.io.ByteArrayUtil

Size of a short in bytes.

sizeConstraint - Variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints.ListSizeConstraint

The list size constraint.

sizePanel - Variable in class de.lmu.ifi.dbs.elki.visualization.savedialog.SaveOptionsPanel

If saving as JPEG/PNG show width/height infos here.

sizes - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.parallel.KMeansProcessor.Instance

(Partial) cluster sizes

sizes - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.parallel.KMeansProcessor

(Partial) cluster sizes

sizes - Variable in class de.lmu.ifi.dbs.elki.evaluation.classification.holdout.DisjointCrossValidation

Partition assignment and size.

sizes - Variable in class de.lmu.ifi.dbs.elki.evaluation.classification.holdout.StratifiedCrossValidation

Partition assignment, sizes

sizescale - Variable in class de.lmu.ifi.dbs.elki.datasource.GeneratorXMLDatabaseConnection.Parameterizer

Parameter for scaling the cluster sizes.

sizescale - Variable in class de.lmu.ifi.dbs.elki.datasource.GeneratorXMLDatabaseConnection

Parameter for scaling the cluster sizes.

sizeTolerance - Static variable in class de.lmu.ifi.dbs.elki.index.preprocessed.fastoptics.RandomProjectedNeighborsAndDensities

Sets used for neighborhood computation should be about minSplitSize Sets are still used if they deviate by less (1+/- sizeTolerance)

skew - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.SkewGeneralizedNormalDistribution.Parameterizer

Parameters.

skew - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.SkewGeneralizedNormalDistribution

Skew.

SKEW_ID - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.SkewGeneralizedNormalDistribution.Parameterizer

Skew parameter

SkewGeneralizedNormalDistribution - Class in de.lmu.ifi.dbs.elki.math.statistics.distribution

Generalized Gaussian distribution by adding a skew term, similar to lognormal distributions.

SkewGeneralizedNormalDistribution(double, double, double, Random) - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.SkewGeneralizedNormalDistribution

Constructor for Gaussian distribution

SkewGeneralizedNormalDistribution(double, double, double, RandomFactory) - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.SkewGeneralizedNormalDistribution

Constructor for Gaussian distribution

SkewGeneralizedNormalDistribution(double, double, double) - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.SkewGeneralizedNormalDistribution

Constructor for Gaussian distribution

SkewGeneralizedNormalDistribution.Parameterizer - Class in de.lmu.ifi.dbs.elki.math.statistics.distribution

Parameterization class

SkewGeneralizedNormalDistribution.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.SkewGeneralizedNormalDistribution.Parameterizer

SkewGNormalLMMEstimator - Class in de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator

Estimate the parameters of a skew Normal Distribution (Hoskin's Generalized Normal Distribution), using the methods of L-Moments (LMM).

SkewGNormalLMMEstimator() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.SkewGNormalLMMEstimator

Constructor.

SkewGNormalLMMEstimator.Parameterizer - Class in de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator

Parameterization class.

SkewGNormalLMMEstimator.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.SkewGNormalLMMEstimator.Parameterizer

skip - Variable in class de.lmu.ifi.dbs.elki.evaluation.scores.adapter.FilteredDistanceResultAdapter

DBID to skip (usually: query object).

skipzero - Variable in class de.lmu.ifi.dbs.elki.evaluation.similaritymatrix.ComputeSimilarityMatrixImage.Parameterizer

Skip zero values.

skipzero - Variable in class de.lmu.ifi.dbs.elki.evaluation.similaritymatrix.ComputeSimilarityMatrixImage

Skip zero values.

SKIPZERO_ID - Static variable in class de.lmu.ifi.dbs.elki.evaluation.similaritymatrix.ComputeSimilarityMatrixImage

OptionID to skip zero values when plotting to increase contrast.

slice(int, int) - Method in interface de.lmu.ifi.dbs.elki.database.ids.ArrayDBIDs

Slice a subarray (as view, not copy!)

slice(int, int) - Method in class de.lmu.ifi.dbs.elki.database.ids.EmptyDBIDs

slice(int, int) - Method in class de.lmu.ifi.dbs.elki.database.ids.generic.UnmodifiableArrayDBIDs

slice(int, int) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.ArrayModifiableIntegerDBIDs

slice(int, int) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.ArrayModifiableIntegerDBIDs.Slice

slice(int, int) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.ArrayStaticIntegerDBIDs

slice(int, int) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.ArrayStaticIntegerDBIDs.Slice

slice(int, int) - Method in interface de.lmu.ifi.dbs.elki.database.ids.integer.IntegerArrayDBIDs

slice(int, int) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBID

slice(int, int) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDPair

slice(int, int) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDPair.Slice

slice(int, int) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDRange

slice(int, int) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDVar

slice(int, int) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.UnmodifiableIntegerArrayDBIDs

SLINK<O> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical

Implementation of the efficient Single-Link Algorithm SLINK of R.

SLINK(DistanceFunction<? super O>) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.SLINK

Constructor.

SLINK.Parameterizer<O> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical

Parameterization class.

SLINK.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.SLINK.Parameterizer

SLINKHDBSCANLinearMemory<O> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical

Linear memory implementation of HDBSCAN clustering based on SLINK.

SLINKHDBSCANLinearMemory(DistanceFunction<? super O>, int) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.SLINKHDBSCANLinearMemory

Constructor.

SLINKHDBSCANLinearMemory.Parameterizer<O> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical

Parameterization class

SLINKHDBSCANLinearMemory.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.SLINKHDBSCANLinearMemory.Parameterizer

slinkstep3(DBIDRef, DBIDArrayIter, int, WritableDBIDDataStore, WritableDoubleDataStore, WritableDoubleDataStore) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.SLINK

Third step: Determine the values for P and L

slinkstep4(DBIDRef, DBIDArrayIter, int, WritableDBIDDataStore, WritableDoubleDataStore) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.SLINK

Fourth step: Actualize the clusters if necessary

SLOM<N,O> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.spatial

SLOM: a new measure for local spatial outliers Reference:
Sanjay Chawla and Pei Sun
SLOM: a new measure for local spatial outliers
in Knowledge and Information Systems 9(4), 412-429, 2006 This implementation works around some corner cases in SLOM, in particular when an object has none or a single neighbor only (albeit the results will still not be too useful then), which will result in divisions by zero.

SLOM(NeighborSetPredicate.Factory<N>, PrimitiveDistanceFunction<O>) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.SLOM

Constructor.

SLOM.Parameterizer<N,O> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.spatial

Parameterization class.

SLOM.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.SLOM.Parameterizer

SlopeDependenceMeasure - Class in de.lmu.ifi.dbs.elki.math.statistics.dependence

Arrange dimensions based on the entropy of the slope spectrum.

SlopeDependenceMeasure() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.dependence.SlopeDependenceMeasure

Constructor.

SlopeDependenceMeasure.Parameterizer - Class in de.lmu.ifi.dbs.elki.math.statistics.dependence

Parameterization class.

SlopeDependenceMeasure.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.dependence.SlopeDependenceMeasure.Parameterizer

SlopeDimensionSimilarity - Class in de.lmu.ifi.dbs.elki.math.dimensionsimilarity

Arrange dimensions based on the entropy of the slope spectrum.

SlopeDimensionSimilarity() - Constructor for class de.lmu.ifi.dbs.elki.math.dimensionsimilarity.SlopeDimensionSimilarity

Constructor.

SlopeDimensionSimilarity.Parameterizer - Class in de.lmu.ifi.dbs.elki.math.dimensionsimilarity

Parameterization class.

SlopeDimensionSimilarity.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.dimensionsimilarity.SlopeDimensionSimilarity.Parameterizer

SlopeInversionDependenceMeasure - Class in de.lmu.ifi.dbs.elki.math.statistics.dependence

Arrange dimensions based on the entropy of the slope spectrum.

SlopeInversionDependenceMeasure() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.dependence.SlopeInversionDependenceMeasure

Constructor.

SlopeInversionDependenceMeasure.Parameterizer - Class in de.lmu.ifi.dbs.elki.math.statistics.dependence

Parameterization class.

SlopeInversionDependenceMeasure.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.dependence.SlopeInversionDependenceMeasure.Parameterizer

SlopeInversionDimensionSimilarity - Class in de.lmu.ifi.dbs.elki.math.dimensionsimilarity

Arrange dimensions based on the entropy of the slope spectrum.

SlopeInversionDimensionSimilarity() - Constructor for class de.lmu.ifi.dbs.elki.math.dimensionsimilarity.SlopeInversionDimensionSimilarity

Constructor.

SlopeInversionDimensionSimilarity.Parameterizer - Class in de.lmu.ifi.dbs.elki.math.dimensionsimilarity

Parameterization class.

SlopeInversionDimensionSimilarity.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.dimensionsimilarity.SlopeInversionDimensionSimilarity.Parameterizer

slurp(InputStream) - Static method in class de.lmu.ifi.dbs.elki.utilities.FileUtil

Load an input stream (e.g. a Java resource) into a String buffer.

small - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.fitting.LevenbergMarquardtMethod

"Small value" condition for stopping

small - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PCAFilteredRunner.Parameterizer

Holds the value of PCAFilteredRunner.Parameterizer.SMALL_ID.

small - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PCAFilteredRunner

Holds the value of PCAFilteredRunner.Parameterizer.SMALL_ID.

SMALL - Static variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.QuickSelect

For small arrays, use a simpler method:

SMALL_ID - Static variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PCAFilteredRunner.Parameterizer

Parameter to specify a constant small value to reset low eigenvalues, must be a double greater than 0.

SmallDenseItemset - Class in de.lmu.ifi.dbs.elki.algorithm.itemsetmining

APRIORI itemset.

SmallDenseItemset(long, int) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.SmallDenseItemset

Constructor.

SmallMemoryKDTree<O extends NumberVector> - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.kd

Simple implementation of a static in-memory K-D-tree.

SmallMemoryKDTree(Relation<O>, int) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.kd.SmallMemoryKDTree

Constructor.

SmallMemoryKDTree.Factory<O extends NumberVector> - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.kd

Factory class

SmallMemoryKDTree.Factory() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.kd.SmallMemoryKDTree.Factory

Constructor.

SmallMemoryKDTree.Factory(int) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.kd.SmallMemoryKDTree.Factory

Constructor.

SmallMemoryKDTree.Factory.Parameterizer<O extends NumberVector> - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.kd

Parameterization class.

SmallMemoryKDTree.Factory.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.kd.SmallMemoryKDTree.Factory.Parameterizer

SmallMemoryKDTree.KDTreeKNNQuery - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.kd

kNN query for the k-d-tree.

SmallMemoryKDTree.KDTreeKNNQuery(DistanceQuery<O>, Norm<? super O>) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.kd.SmallMemoryKDTree.KDTreeKNNQuery

Constructor.

SmallMemoryKDTree.KDTreeRangeQuery - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.kd

kNN query for the k-d-tree.

SmallMemoryKDTree.KDTreeRangeQuery(DistanceQuery<O>, Norm<? super O>) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.kd.SmallMemoryKDTree.KDTreeRangeQuery

Constructor.

smFFirst - Variable in class de.lmu.ifi.dbs.elki.evaluation.clustering.SetMatchingPurity

Result cache

smFSecond - Variable in class de.lmu.ifi.dbs.elki.evaluation.clustering.SetMatchingPurity

Result cache

smInversePurity - Variable in class de.lmu.ifi.dbs.elki.evaluation.clustering.SetMatchingPurity

Result cache

smoothCubicTo(double, double, double, double) - Method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPath

Smooth Cubic Bezier line to the given coordinates.

smoothCubicTo(double[], double[]) - Method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPath

Smooth Cubic Bezier line to the given coordinates.

smoothCubicTo(Vector, Vector) - Method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPath

Smooth Cubic Bezier line to the given coordinates.

smoothQuadTo(double, double) - Method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPath

Smooth quadratic Bezier line to the given coordinates.

smoothQuadTo(double[]) - Method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPath

Smooth quadratic Bezier line to the given coordinates.

smoothQuadTo(Vector) - Method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPath

Smooth quadratic Bezier line to the given coordinates.

smp - Variable in class de.lmu.ifi.dbs.elki.evaluation.clustering.ClusterContingencyTable

Set matching purity measures

smPurity - Variable in class de.lmu.ifi.dbs.elki.evaluation.clustering.SetMatchingPurity

Result cache

SMROCAUC_LABEL - Static variable in class de.lmu.ifi.dbs.elki.evaluation.outlier.OutlierSmROCCurve

The label we use for marking ROCAUC values.

SNNClustering<O> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering

Shared nearest neighbor clustering.

SNNClustering(SharedNearestNeighborSimilarityFunction<O>, int, int) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.SNNClustering

Constructor.

SNNClustering.Parameterizer<O> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering

Parameterization class.

SNNClustering.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.SNNClustering.Parameterizer

SOD<V extends NumberVector> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.subspace

Subspace Outlier Degree.

SOD(int, double, SimilarityFunction<V>, boolean) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.subspace.SOD

Constructor with parameters.

SOD.Parameterizer<V extends NumberVector> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.subspace

Parameterization class.

SOD.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.subspace.SOD.Parameterizer

SOD.SODModel - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.subspace

SOD Model class

SOD.SODModel(Vector, long[]) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.subspace.SOD.SODModel

Initialize SOD Model

SOF<N,O> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.spatial

The Spatial Outlier Factor (SOF) is a spatial LOF variation.

SOF(NeighborSetPredicate.Factory<N>, PrimitiveDistanceFunction<O>) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.SOF

Constructor.

SOF.Parameterizer<N,O> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.spatial

Parameterization class

SOF.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.SOF.Parameterizer

soft - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.em.EM

Retain soft assignments.

SOFT_TYPE - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.em.EM

Soft assignment result type.

softBorder - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster.EMClusterVisualization.Instance

SolidLineStyleLibrary - Class in de.lmu.ifi.dbs.elki.visualization.style.lines

Line style library featuring solid lines for default styles only (combine with a color library to obtain enough classes!)

SolidLineStyleLibrary(StyleLibrary) - Constructor for class de.lmu.ifi.dbs.elki.visualization.style.lines.SolidLineStyleLibrary

Constructor.

solidreplacement - Variable in class de.lmu.ifi.dbs.elki.visualization.style.lines.DashedLineStyleLibrary

Replacement for the solid pattern in 'interpolated' mode

solutionToString(int) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.LinearEquationSystem

Returns a string representation of the solution of this equation system.

solvable - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.LinearEquationSystem

Indicates if linear equation system is solvable.

solve(Matrix) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.CholeskyDecomposition

Solve A*X = B

solve(int) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.LinearEquationSystem

solves linear system with the chosen method

solve(Matrix) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.LUDecomposition

Solve A*X = B

solve(double[][]) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.LUDecomposition

Solve A*X = B

solve(Matrix) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix

Solve A*X = B

solve(Matrix) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.QRDecomposition

Least squares solution of A*X = B

solve(double[][]) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.QRDecomposition

Least squares solution of A*X = B

solveByTotalPivotSearch() - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.LinearEquationSystem

Solves this linear equation system by total pivot search.

solveByTrivialPivotSearch() - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.LinearEquationSystem

Solves this linear equation system by trivial pivot search.

solved - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.LinearEquationSystem

Indicates if solvability has been checked.

solveInplace(double[][], int) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.LUDecomposition

Solve A*X = B

solveInplace(double[][], int) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.QRDecomposition

sort() - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.LOCI.DoubleIntArrayList

Sort the array list.

sort() - Method in interface de.lmu.ifi.dbs.elki.database.ids.ArrayModifiableDBIDs

Sort the DBID set.

sort(Comparator<? super DBIDRef>) - Method in interface de.lmu.ifi.dbs.elki.database.ids.ArrayModifiableDBIDs

Sort the DBID set.

sort(int, int, Comparator<? super DBIDRef>) - Method in interface de.lmu.ifi.dbs.elki.database.ids.ArrayModifiableDBIDs

Sort the DBID set.

sort() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.ArrayModifiableIntegerDBIDs

sort(Comparator<? super DBIDRef>) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.ArrayModifiableIntegerDBIDs

sort(int, int, Comparator<? super DBIDRef>) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.ArrayModifiableIntegerDBIDs

sort() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDList

sort() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDPairList

sort(int[], Comparator<? super DBIDRef>) - Static method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDArrayQuickSort

Sort the full array using the given comparator.

sort(int[], int, int, Comparator<? super DBIDRef>) - Static method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDArrayQuickSort

Sort the array using the given comparator.

sort() - Method in interface de.lmu.ifi.dbs.elki.database.ids.ModifiableDoubleDBIDList

Sort the result in ascending order

sort - Variable in class de.lmu.ifi.dbs.elki.evaluation.scores.adapter.AbstractVectorIter

Order of dimensions.

sort(List<T>) - Method in class de.lmu.ifi.dbs.elki.math.spacefillingcurves.AbstractSpatialSorter

sort(List<T>, int, int, double[], int[]) - Method in class de.lmu.ifi.dbs.elki.math.spacefillingcurves.BinarySplitSpatialSorter

sort(List<T>, int, int, double[], int[]) - Method in class de.lmu.ifi.dbs.elki.math.spacefillingcurves.HilbertSpatialSorter

sort(List<T>, int, int, double[], int[]) - Method in class de.lmu.ifi.dbs.elki.math.spacefillingcurves.PeanoSpatialSorter

sort(List<T>) - Method in interface de.lmu.ifi.dbs.elki.math.spacefillingcurves.SpatialSorter

Partitions the specified feature vectors

sort(List<T>, int, int, double[], int[]) - Method in interface de.lmu.ifi.dbs.elki.math.spacefillingcurves.SpatialSorter

Sort part of the list (start to end).

sort(List<T>, int, int, double[], int[]) - Method in class de.lmu.ifi.dbs.elki.math.spacefillingcurves.ZCurveSpatialSorter

sort() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike.DoubleArray

Sort the contents.

sort() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike.IntegerArray

Sort the contents.

sort(double[], int[], int) - Static method in class de.lmu.ifi.dbs.elki.utilities.datastructures.arrays.DoubleIntegerArrayQuickSort

Sort the full array using the given comparator.

sort(double[], int[], int, int) - Static method in class de.lmu.ifi.dbs.elki.utilities.datastructures.arrays.DoubleIntegerArrayQuickSort

Sort the array using the given comparator.

sort(int[], IntegerComparator) - Static method in class de.lmu.ifi.dbs.elki.utilities.datastructures.arrays.IntegerArrayQuickSort

Sort the full array using the given comparator.

sort(int[], int, int, IntegerComparator) - Static method in class de.lmu.ifi.dbs.elki.utilities.datastructures.arrays.IntegerArrayQuickSort

Sort the array using the given comparator.

sort() - Method in class de.lmu.ifi.dbs.elki.visualization.gui.overview.PlotItem

Sort all visualizers for their proper drawing order

sort5(double[], int[], int, int, int, int, int) - Static method in class de.lmu.ifi.dbs.elki.utilities.datastructures.arrays.DoubleIntegerArrayQuickSort

An explicit sort, for the five pivot candidates.

sort5(int[], int, int, int, int, int, IntegerComparator) - Static method in class de.lmu.ifi.dbs.elki.utilities.datastructures.arrays.IntegerArrayQuickSort

An explicit sort, for the five pivot candidates.

SORT_BY_CONTRAST_ASC - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.meta.HiCS.HiCSSubspace

Sort subspaces by their actual subspace.

SORT_BY_CONTRAST_DESC - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.meta.HiCS.HiCSSubspace

Sort subspaces by their actual subspace.

SORT_BY_SUBSPACE - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.meta.HiCS.HiCSSubspace

Sort subspaces by their actual subspace.

SortByLabelFilter - Class in de.lmu.ifi.dbs.elki.datasource.filter.selection

A filter to sort the data set by some label.

SortByLabelFilter() - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.selection.SortByLabelFilter

Constructor.

sortClusters(Relation<V>, TCustomHashMap<long[], List<ArrayModifiableDBIDs>>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.DiSH

Returns a sorted list of the clusters w.r.t. the subspace dimensionality in descending order.

sorted - Variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.kd.MinimalisticMemoryKDTree

The actual "tree" as a sorted array.

sorted - Variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.kd.SmallMemoryKDTree

The actual "tree" as a sorted array.

SortedEigenPairs - Class in de.lmu.ifi.dbs.elki.math.linearalgebra

Helper class which encapsulates an array of eigenpairs (i.e. an array of eigenvectors and their corresponding eigenvalues).

SortedEigenPairs() - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.SortedEigenPairs

Creates a new empty SortedEigenPairs object.

SortedEigenPairs(EigenvalueDecomposition, boolean) - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.SortedEigenPairs

Creates a new SortedEigenPairs object from the specified eigenvalue decomposition.

SortedEigenPairs(List<EigenPair>) - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.SortedEigenPairs

Creates a new SortedEigenPairs object from the specified list.

sortedIndex(NumberArrayAdapter<?, A>, A, int) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.dependence.AbstractDependenceMeasure

Build a sorted index of objects.

sortedReferences() - Static method in class de.lmu.ifi.dbs.elki.application.internal.DocumentReferences

sorter - Variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.bulk.SpatialSortBulkSplit.Parameterizer

Sorting class

sorter - Variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.bulk.SpatialSortBulkSplit

Sorting class

SORTER_ID - Static variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.bulk.SpatialSortBulkSplit.Parameterizer

Option ID for spatial sorting

sortReverse(double[], int[], int) - Static method in class de.lmu.ifi.dbs.elki.utilities.datastructures.arrays.DoubleIntegerArrayQuickSort

Sort the full array using the given comparator.

sortReverse(double[], int[], int, int) - Static method in class de.lmu.ifi.dbs.elki.utilities.datastructures.arrays.DoubleIntegerArrayQuickSort

Sort the array using the given comparator.

sortReverse5(double[], int[], int, int, int, int, int) - Static method in class de.lmu.ifi.dbs.elki.utilities.datastructures.arrays.DoubleIntegerArrayQuickSort

An explicit sort, for the five pivot candidates.

SortTileRecursiveBulkSplit - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.bulk

Sort-Tile-Recursive aims at tiling the data space with a grid-like structure for partitioning the dataset into the required number of buckets.

SortTileRecursiveBulkSplit() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.bulk.SortTileRecursiveBulkSplit

SortTileRecursiveBulkSplit.Parameterizer - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.bulk

Parameterization class.

SortTileRecursiveBulkSplit.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.bulk.SortTileRecursiveBulkSplit.Parameterizer

source - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.AbstractStreamFilter

Data source

sources - Variable in class de.lmu.ifi.dbs.elki.datasource.ExternalIDJoinDatabaseConnection.Parameterizer

The data souces to use.

sources - Variable in class de.lmu.ifi.dbs.elki.datasource.ExternalIDJoinDatabaseConnection

The filters to invoke

sources - Variable in class de.lmu.ifi.dbs.elki.datasource.LabelJoinDatabaseConnection.Parameterizer

The data souces to use.

sources - Variable in class de.lmu.ifi.dbs.elki.datasource.LabelJoinDatabaseConnection

The filters to invoke

sources - Variable in class de.lmu.ifi.dbs.elki.datasource.PresortedBlindJoinDatabaseConnection.Parameterizer

The data souces to use.

sources - Variable in class de.lmu.ifi.dbs.elki.datasource.PresortedBlindJoinDatabaseConnection

The filters to invoke

SOURCES_ID - Static variable in class de.lmu.ifi.dbs.elki.datasource.ExternalIDJoinDatabaseConnection.Parameterizer

The static option ID

SOURCES_ID - Static variable in class de.lmu.ifi.dbs.elki.datasource.LabelJoinDatabaseConnection.Parameterizer

The static option ID

SOURCES_ID - Static variable in class de.lmu.ifi.dbs.elki.datasource.PresortedBlindJoinDatabaseConnection.Parameterizer

The static option ID

SPACE_SCALE_ID - Static variable in class de.lmu.ifi.dbs.elki.utilities.referencepoints.AxisBasedReferencePoints.Parameterizer

Parameter to specify the extra scaling of the space, to allow out-of-data-space reference points.

SpacefillingKNNPreprocessor<O extends NumberVector> - Class in de.lmu.ifi.dbs.elki.index.preprocessed.knn

Compute the nearest neighbors approximatively using space filling curves.

SpacefillingKNNPreprocessor(Relation<O>, List<SpatialSorter>, double, int, int, RandomProjectionFamily, Random) - Constructor for class de.lmu.ifi.dbs.elki.index.preprocessed.knn.SpacefillingKNNPreprocessor

Constructor.

SpacefillingKNNPreprocessor.Factory<V extends NumberVector> - Class in de.lmu.ifi.dbs.elki.index.preprocessed.knn

Index factory class

SpacefillingKNNPreprocessor.Factory(List<SpatialSorter>, double, int, int, RandomProjectionFamily, RandomFactory) - Constructor for class de.lmu.ifi.dbs.elki.index.preprocessed.knn.SpacefillingKNNPreprocessor.Factory

Constructor.

SpacefillingKNNPreprocessor.Factory.Parameterizer - Class in de.lmu.ifi.dbs.elki.index.preprocessed.knn

Parameterization class.

SpacefillingKNNPreprocessor.Factory.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.index.preprocessed.knn.SpacefillingKNNPreprocessor.Factory.Parameterizer

SpacefillingKNNPreprocessor.SpaceFillingKNNQuery - Class in de.lmu.ifi.dbs.elki.index.preprocessed.knn

KNN Query processor for space filling curves

SpacefillingKNNPreprocessor.SpaceFillingKNNQuery(DistanceQuery<O>) - Constructor for class de.lmu.ifi.dbs.elki.index.preprocessed.knn.SpacefillingKNNPreprocessor.SpaceFillingKNNQuery

Constructor.

SpacefillingMaterializeKNNPreprocessor<O extends NumberVector> - Class in de.lmu.ifi.dbs.elki.index.preprocessed.knn

Compute the nearest neighbors approximatively using space filling curves.

SpacefillingMaterializeKNNPreprocessor(Relation<O>, DistanceFunction<? super O>, int, List<SpatialSorter>, double, int, Random) - Constructor for class de.lmu.ifi.dbs.elki.index.preprocessed.knn.SpacefillingMaterializeKNNPreprocessor

Constructor.

SpacefillingMaterializeKNNPreprocessor.Factory<V extends NumberVector> - Class in de.lmu.ifi.dbs.elki.index.preprocessed.knn

Index factory class

SpacefillingMaterializeKNNPreprocessor.Factory(int, DistanceFunction<? super V>, List<SpatialSorter>, double, int, RandomFactory) - Constructor for class de.lmu.ifi.dbs.elki.index.preprocessed.knn.SpacefillingMaterializeKNNPreprocessor.Factory

Constructor.

SpacefillingMaterializeKNNPreprocessor.Factory.Parameterizer<V extends NumberVector> - Class in de.lmu.ifi.dbs.elki.index.preprocessed.knn

Parameterization class.

SpacefillingMaterializeKNNPreprocessor.Factory.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.index.preprocessed.knn.SpacefillingMaterializeKNNPreprocessor.Factory.Parameterizer

SPACEPADDING - Static variable in class de.lmu.ifi.dbs.elki.utilities.FormatUtil

Buffer for whitespace padding.

SPACES - Static variable in class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.FPGrowth.FPNode

Buffer for indentation.

spacescale - Variable in class de.lmu.ifi.dbs.elki.utilities.referencepoints.AxisBasedReferencePoints.Parameterizer

Holds the value of AxisBasedReferencePoints.Parameterizer.SPACE_SCALE_ID.

spacescale - Variable in class de.lmu.ifi.dbs.elki.utilities.referencepoints.AxisBasedReferencePoints

Scaling factor.

SPARSE_DOUBLE_FIELD - Static variable in class de.lmu.ifi.dbs.elki.data.type.TypeUtil

Sparse double vector field.

SPARSE_FLOAT_FIELD - Static variable in class de.lmu.ifi.dbs.elki.data.type.TypeUtil

Sparse float vector field.

SPARSE_VECTOR_FIELD - Static variable in class de.lmu.ifi.dbs.elki.data.type.TypeUtil

Sparse vector field.

SPARSE_VECTOR_VARIABLE_LENGTH - Static variable in class de.lmu.ifi.dbs.elki.data.type.TypeUtil

Sparse float vector field.

SparseByteVector - Class in de.lmu.ifi.dbs.elki.data

Sparse vector type, using byte[] for storing the values, and int[] for storing the indexes, approximately 5 bytes per non-zero value (limited to -128..+127).

SparseByteVector(int[], byte[], int) - Constructor for class de.lmu.ifi.dbs.elki.data.SparseByteVector

Direct constructor.

SparseByteVector(TIntDoubleMap, int) - Constructor for class de.lmu.ifi.dbs.elki.data.SparseByteVector

Create a SparseByteVector consisting of double values according to the specified mapping of indices and values.

SparseByteVector(byte[]) - Constructor for class de.lmu.ifi.dbs.elki.data.SparseByteVector

Create a SparseByteVector consisting of double values according to the specified mapping of indices and values.

SparseByteVector.Factory - Class in de.lmu.ifi.dbs.elki.data

Factory class.

SparseByteVector.Factory() - Constructor for class de.lmu.ifi.dbs.elki.data.SparseByteVector.Factory

SparseByteVector.Factory.Parameterizer - Class in de.lmu.ifi.dbs.elki.data

Parameterization class.

SparseByteVector.Factory.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.data.SparseByteVector.Factory.Parameterizer

SparseByteVector.VariableSerializer - Class in de.lmu.ifi.dbs.elki.data

Serialization class using VarInt encodings.

SparseByteVector.VariableSerializer() - Constructor for class de.lmu.ifi.dbs.elki.data.SparseByteVector.VariableSerializer

SparseDoubleVector - Class in de.lmu.ifi.dbs.elki.data

Sparse vector type, using double[] for storing the values, and int[] for storing the indexes, approximately 12 bytes per non-zero value.

SparseDoubleVector(int[], double[], int) - Constructor for class de.lmu.ifi.dbs.elki.data.SparseDoubleVector

Direct constructor.

SparseDoubleVector(TIntDoubleMap, int) - Constructor for class de.lmu.ifi.dbs.elki.data.SparseDoubleVector

Create a SparseDoubleVector consisting of double values according to the specified mapping of indices and values.

SparseDoubleVector(double[]) - Constructor for class de.lmu.ifi.dbs.elki.data.SparseDoubleVector

Create a SparseDoubleVector consisting of double values according to the specified mapping of indices and values.

SparseDoubleVector.Factory - Class in de.lmu.ifi.dbs.elki.data

Factory class.

SparseDoubleVector.Factory() - Constructor for class de.lmu.ifi.dbs.elki.data.SparseDoubleVector.Factory

SparseDoubleVector.Factory.Parameterizer - Class in de.lmu.ifi.dbs.elki.data

Parameterization class.

SparseDoubleVector.Factory.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.data.SparseDoubleVector.Factory.Parameterizer

SparseDoubleVector.VariableSerializer - Class in de.lmu.ifi.dbs.elki.data

Serialization class using VarInt encodings.

SparseDoubleVector.VariableSerializer() - Constructor for class de.lmu.ifi.dbs.elki.data.SparseDoubleVector.VariableSerializer

SparseEuclideanDistanceFunction - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski

Euclidean distance function, optimized for SparseNumberVectors.

SparseEuclideanDistanceFunction() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.SparseEuclideanDistanceFunction

Deprecated.

Use static instance instead.

SparseEuclideanDistanceFunction.Parameterizer - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski

Parameterizer

SparseEuclideanDistanceFunction.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.SparseEuclideanDistanceFunction.Parameterizer

sparsefactory - Variable in class de.lmu.ifi.dbs.elki.datasource.parser.SparseNumberVectorLabelParser

Same as NumberVectorLabelParser.factory, but subtype.

sparsefactory - Variable in class de.lmu.ifi.dbs.elki.datasource.parser.TermFrequencyParser

Same as NumberVectorLabelParser.factory, but subtype.

SparseFeatureVector<D> - Interface in de.lmu.ifi.dbs.elki.data

Extended interface for sparse feature vector types.

SparseFloatVector - Class in de.lmu.ifi.dbs.elki.data

Sparse vector type, using float[] for storing the values, and int[] for storing the indexes, approximately 8 bytes per non-zero value.

SparseFloatVector(int[], float[], int) - Constructor for class de.lmu.ifi.dbs.elki.data.SparseFloatVector

Direct constructor.

SparseFloatVector(TIntFloatMap, int) - Constructor for class de.lmu.ifi.dbs.elki.data.SparseFloatVector

Create a SparseFloatVector consisting of double values according to the specified mapping of indices and values.

SparseFloatVector(float[]) - Constructor for class de.lmu.ifi.dbs.elki.data.SparseFloatVector

Create a SparseFloatVector consisting of double values according to the specified mapping of indices and values.

SparseFloatVector.Factory - Class in de.lmu.ifi.dbs.elki.data

Factory class.

SparseFloatVector.Factory() - Constructor for class de.lmu.ifi.dbs.elki.data.SparseFloatVector.Factory

SparseFloatVector.Factory.Parameterizer - Class in de.lmu.ifi.dbs.elki.data

Parameterization class.

SparseFloatVector.Factory.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.data.SparseFloatVector.Factory.Parameterizer

SparseFloatVector.VariableSerializer - Class in de.lmu.ifi.dbs.elki.data

Serialization class using VarInt encodings.

SparseFloatVector.VariableSerializer() - Constructor for class de.lmu.ifi.dbs.elki.data.SparseFloatVector.VariableSerializer

SparseIntegerVector - Class in de.lmu.ifi.dbs.elki.data

Sparse vector type, using int[] for storing the values, and int[] for storing the indexes, approximately 8 bytes per non-zero integer value.

SparseIntegerVector(int[], int[], int) - Constructor for class de.lmu.ifi.dbs.elki.data.SparseIntegerVector

Direct constructor.

SparseIntegerVector(TIntDoubleMap, int) - Constructor for class de.lmu.ifi.dbs.elki.data.SparseIntegerVector

Create a SparseIntegerVector consisting of double values according to the specified mapping of indices and values.

SparseIntegerVector(int[]) - Constructor for class de.lmu.ifi.dbs.elki.data.SparseIntegerVector

Create a SparseIntegerVector consisting of double values according to the specified mapping of indices and values.

SparseIntegerVector.Factory - Class in de.lmu.ifi.dbs.elki.data

Factory class.

SparseIntegerVector.Factory() - Constructor for class de.lmu.ifi.dbs.elki.data.SparseIntegerVector.Factory

SparseIntegerVector.Factory.Parameterizer - Class in de.lmu.ifi.dbs.elki.data

Parameterization class.

SparseIntegerVector.Factory.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.data.SparseIntegerVector.Factory.Parameterizer

SparseIntegerVector.VariableSerializer - Class in de.lmu.ifi.dbs.elki.data

Serialization class using VarInt encodings.

SparseIntegerVector.VariableSerializer() - Constructor for class de.lmu.ifi.dbs.elki.data.SparseIntegerVector.VariableSerializer

SparseItemset - Class in de.lmu.ifi.dbs.elki.algorithm.itemsetmining

APRIORI itemset.

SparseItemset(int[]) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.SparseItemset

Constructor.

SparseItemset(int[], int) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.SparseItemset

Constructor.

SparseItemset(OneItemset, OneItemset) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.SparseItemset

Constructor from existing itemsets.

SparseLPNormDistanceFunction - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski

LP-Norm, optimized for SparseNumberVectors.

SparseLPNormDistanceFunction(double) - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.SparseLPNormDistanceFunction

Constructor.

SparseLPNormDistanceFunction.Parameterizer - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski

Parameterizer

SparseLPNormDistanceFunction.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.SparseLPNormDistanceFunction.Parameterizer

SparseManhattanDistanceFunction - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski

Manhattan distance, optimized for SparseNumberVectors.

SparseManhattanDistanceFunction() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.SparseManhattanDistanceFunction

Deprecated.

Use static instance instead.

SparseManhattanDistanceFunction.Parameterizer - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski

Parameterizer

SparseManhattanDistanceFunction.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.SparseManhattanDistanceFunction.Parameterizer

SparseMaximumDistanceFunction - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski

Maximum distance, optimized for SparseNumberVectors.

SparseMaximumDistanceFunction() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.SparseMaximumDistanceFunction

Deprecated.

Use static instance

SparseMaximumDistanceFunction.Parameterizer - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski

Parameterizer

SparseMaximumDistanceFunction.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.SparseMaximumDistanceFunction.Parameterizer

SparseNumberVector - Interface in de.lmu.ifi.dbs.elki.data

Combines the SparseFeatureVector and NumberVector.

SparseNumberVector.Factory<V extends SparseNumberVector> - Interface in de.lmu.ifi.dbs.elki.data

Factory for sparse number vectors: make from a dim-value map.

SparseNumberVectorLabelParser<V extends SparseNumberVector> - Class in de.lmu.ifi.dbs.elki.datasource.parser

Parser for parsing one point per line, attributes separated by whitespace.

SparseNumberVectorLabelParser(CSVReaderFormat, long[], SparseNumberVector.Factory<V>) - Constructor for class de.lmu.ifi.dbs.elki.datasource.parser.SparseNumberVectorLabelParser

Constructor.

SparseNumberVectorLabelParser(Pattern, String, Pattern, long[], SparseNumberVector.Factory<V>) - Constructor for class de.lmu.ifi.dbs.elki.datasource.parser.SparseNumberVectorLabelParser

Constructor.

SparseNumberVectorLabelParser.Parameterizer<V extends SparseNumberVector> - Class in de.lmu.ifi.dbs.elki.datasource.parser

Parameterization class.

SparseNumberVectorLabelParser.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.datasource.parser.SparseNumberVectorLabelParser.Parameterizer

SparseShortVector - Class in de.lmu.ifi.dbs.elki.data

Sparse vector type, using short[] for storing the values, and int[] for storing the indexes, approximately 6 bytes per non-zero value.

SparseShortVector(int[], short[], int) - Constructor for class de.lmu.ifi.dbs.elki.data.SparseShortVector

Direct constructor.

SparseShortVector(TIntDoubleMap, int) - Constructor for class de.lmu.ifi.dbs.elki.data.SparseShortVector

Create a SparseShortVector consisting of double values according to the specified mapping of indices and values.

SparseShortVector(short[]) - Constructor for class de.lmu.ifi.dbs.elki.data.SparseShortVector

Create a SparseShortVector consisting of double values according to the specified mapping of indices and values.

SparseShortVector.Factory - Class in de.lmu.ifi.dbs.elki.data

Factory class.

SparseShortVector.Factory() - Constructor for class de.lmu.ifi.dbs.elki.data.SparseShortVector.Factory

SparseShortVector.Factory.Parameterizer - Class in de.lmu.ifi.dbs.elki.data

Parameterization class.

SparseShortVector.Factory.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.data.SparseShortVector.Factory.Parameterizer

SparseShortVector.VariableSerializer - Class in de.lmu.ifi.dbs.elki.data

Serialization class using VarInt encodings.

SparseShortVector.VariableSerializer() - Constructor for class de.lmu.ifi.dbs.elki.data.SparseShortVector.VariableSerializer

SparseVectorFieldFilter<V extends SparseNumberVector> - Class in de.lmu.ifi.dbs.elki.datasource.filter.typeconversions

Class that turns sparse float vectors into a proper vector field, by setting the maximum dimensionality for each vector.

SparseVectorFieldFilter() - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.typeconversions.SparseVectorFieldFilter

Constructor.

sparsity(int, int, int, double) - Static method in class de.lmu.ifi.dbs.elki.algorithm.outlier.subspace.AbstractAggarwalYuOutlier

Method to calculate the sparsity coefficient of.

sparsity - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.randomprojections.AchlioptasRandomProjectionFamily.Parameterizer

Projection sparsity

sparsity - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.randomprojections.AchlioptasRandomProjectionFamily

Projection sparsity.

SPARSITY_ID - Static variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.randomprojections.AchlioptasRandomProjectionFamily.Parameterizer

Parameter for the projection sparsity.

SPATIAL_OBJECT - Static variable in class de.lmu.ifi.dbs.elki.data.type.TypeUtil

Spatial objects.

SpatialApproximationMaterializeKNNPreprocessor<O extends NumberVector,N extends SpatialNode<N,E>,E extends SpatialEntry> - Class in de.lmu.ifi.dbs.elki.index.preprocessed.knn

A preprocessor for annotation of the k nearest neighbors (and their distances) to each database object.

SpatialApproximationMaterializeKNNPreprocessor(Relation<O>, DistanceFunction<? super O>, int) - Constructor for class de.lmu.ifi.dbs.elki.index.preprocessed.knn.SpatialApproximationMaterializeKNNPreprocessor

Constructor

SpatialApproximationMaterializeKNNPreprocessor.Factory<N extends SpatialNode<N,E>,E extends SpatialEntry> - Class in de.lmu.ifi.dbs.elki.index.preprocessed.knn

The actual preprocessor instance.

SpatialApproximationMaterializeKNNPreprocessor.Factory(int, DistanceFunction<? super NumberVector>) - Constructor for class de.lmu.ifi.dbs.elki.index.preprocessed.knn.SpatialApproximationMaterializeKNNPreprocessor.Factory

Constructor.

SpatialApproximationMaterializeKNNPreprocessor.Factory.Parameterizer<N extends SpatialNode<N,E>,E extends SpatialEntry> - Class in de.lmu.ifi.dbs.elki.index.preprocessed.knn

Parameterization class.

SpatialApproximationMaterializeKNNPreprocessor.Factory.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.index.preprocessed.knn.SpatialApproximationMaterializeKNNPreprocessor.Factory.Parameterizer

SpatialComparable - Interface in de.lmu.ifi.dbs.elki.data.spatial

Defines the required methods needed for comparison of spatial objects.

SpatialDirectoryEntry - Class in de.lmu.ifi.dbs.elki.index.tree.spatial

Represents an entry in a directory node of a spatial index.

SpatialDirectoryEntry() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.SpatialDirectoryEntry

Empty constructor for serialization purposes.

SpatialDirectoryEntry(int, ModifiableHyperBoundingBox) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.SpatialDirectoryEntry

Constructs a new SpatialDirectoryEntry object with the given parameters.

SpatialDistanceQuery<V extends SpatialComparable> - Interface in de.lmu.ifi.dbs.elki.database.query.distance

Query interface for spatial distance queries.

SpatialEntry - Interface in de.lmu.ifi.dbs.elki.index.tree.spatial

Defines the requirements for an entry in a node of a Spatial Index.

SpatialIndexTree<N extends SpatialNode<N,E>,E extends SpatialEntry> - Class in de.lmu.ifi.dbs.elki.index.tree.spatial

Abstract super class for all spatial index tree classes.

SpatialIndexTree(PageFile<N>) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.SpatialIndexTree

Constructor.

SpatialNode<N extends SpatialNode<N,E>,E extends SpatialEntry> - Interface in de.lmu.ifi.dbs.elki.index.tree.spatial

Defines the requirements for an object that can be used as a node in a Spatial Index.

SpatialPair<K,V extends SpatialComparable> - Class in de.lmu.ifi.dbs.elki.index.tree.spatial

Defines the requirements for objects that can be indexed by a Spatial Index, which are spatial nodes or data objects.

SpatialPair(K, V) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.SpatialPair

Constructor: bundle a key and a spatial comparable

SpatialPointLeafEntry - Class in de.lmu.ifi.dbs.elki.index.tree.spatial

Represents an entry in a leaf node of a spatial index.

SpatialPointLeafEntry() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.SpatialPointLeafEntry

Empty constructor for serialization purposes.

SpatialPointLeafEntry(DBID, double[]) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.SpatialPointLeafEntry

Constructs a new LeafEntry object with the given parameters.

SpatialPointLeafEntry(DBID, NumberVector) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.SpatialPointLeafEntry

Constructor from number vector.

SpatialPrimitiveDistanceFunction<V extends SpatialComparable> - Interface in de.lmu.ifi.dbs.elki.distance.distancefunction

API for a spatial primitive distance function.

SpatialPrimitiveDistanceQuery<V extends SpatialComparable> - Class in de.lmu.ifi.dbs.elki.database.query.distance

Distance query for spatial distance functions

SpatialPrimitiveDistanceQuery(Relation<? extends V>, SpatialPrimitiveDistanceFunction<? super V>) - Constructor for class de.lmu.ifi.dbs.elki.database.query.distance.SpatialPrimitiveDistanceQuery

SpatialSingleMaxComparator - Class in de.lmu.ifi.dbs.elki.data.spatial

Comparator for sorting spatial objects by the maximum value in a single dimension.

SpatialSingleMaxComparator(int) - Constructor for class de.lmu.ifi.dbs.elki.data.spatial.SpatialSingleMaxComparator

Constructor.

SpatialSingleMeanComparator - Class in de.lmu.ifi.dbs.elki.data.spatial

Comparator for sorting spatial objects by the mean value in a single dimension.

SpatialSingleMeanComparator(int) - Constructor for class de.lmu.ifi.dbs.elki.data.spatial.SpatialSingleMeanComparator

Constructor.

SpatialSingleMinComparator - Class in de.lmu.ifi.dbs.elki.data.spatial

Comparator for sorting spatial objects by the minimum value in a single dimension.

SpatialSingleMinComparator(int) - Constructor for class de.lmu.ifi.dbs.elki.data.spatial.SpatialSingleMinComparator

Constructor.

SpatialSortBulkSplit - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.bulk

Bulk loading by spatially sorting the objects, then partitioning the sorted list appropriately.

SpatialSortBulkSplit(SpatialSorter) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.bulk.SpatialSortBulkSplit

Constructor.

SpatialSortBulkSplit.Parameterizer - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.bulk

Parametization class

SpatialSortBulkSplit.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.bulk.SpatialSortBulkSplit.Parameterizer

SpatialSorter - Interface in de.lmu.ifi.dbs.elki.math.spacefillingcurves

Interface for spatial sorting - ZCurves, Peano curves, Hilbert curves, ...

SpatialUtil - Class in de.lmu.ifi.dbs.elki.data.spatial

Utility class with spatial functions.

SpatialUtil() - Constructor for class de.lmu.ifi.dbs.elki.data.spatial.SpatialUtil

Fake constructor: do not instantiate.

SpearmanCorrelationDependenceMeasure - Class in de.lmu.ifi.dbs.elki.math.statistics.dependence

Spearman rank-correlation coefficient, also known as Spearmans Rho.

SpearmanCorrelationDependenceMeasure() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.dependence.SpearmanCorrelationDependenceMeasure

Constructor - use SpearmanCorrelationDependenceMeasure.STATIC instance.

SpearmanCorrelationDependenceMeasure.Parameterizer - Class in de.lmu.ifi.dbs.elki.math.statistics.dependence

Parameterization class

SpearmanCorrelationDependenceMeasure.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.dependence.SpearmanCorrelationDependenceMeasure.Parameterizer

spec - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.P3C.Signature

Subspace specification

specfile - Variable in class de.lmu.ifi.dbs.elki.datasource.GeneratorXMLDatabaseConnection.Parameterizer

The configuration file.

specfile - Variable in class de.lmu.ifi.dbs.elki.datasource.GeneratorXMLDatabaseConnection

The configuration file.

special - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.AbstractObjStaticHistogram

Special value storage: infinity, NaN

SphereUtil - Class in de.lmu.ifi.dbs.elki.math.geodesy

Class with utility functions for distance computations on the sphere.

SphereUtil() - Constructor for class de.lmu.ifi.dbs.elki.math.geodesy.SphereUtil

Dummy constructor.

SphericalCosineEarthModel - Class in de.lmu.ifi.dbs.elki.math.geodesy

A simple spherical earth model using radius 6371009 m.

SphericalCosineEarthModel() - Constructor for class de.lmu.ifi.dbs.elki.math.geodesy.SphericalCosineEarthModel

Constructor.

SphericalCosineEarthModel.Parameterizer - Class in de.lmu.ifi.dbs.elki.math.geodesy

Parameterization class.

SphericalCosineEarthModel.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.geodesy.SphericalCosineEarthModel.Parameterizer

SphericalGaussianModel - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.em

Simple spherical Gaussian cluster.

SphericalGaussianModel(double, Vector) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.em.SphericalGaussianModel

Constructor.

SphericalGaussianModel(double, Vector, double) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.em.SphericalGaussianModel

Constructor.

SphericalGaussianModelFactory<V extends NumberVector> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.em

Factory for EM with multivariate gaussian models using diagonal matrixes.

SphericalGaussianModelFactory(KMeansInitialization<V>) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.em.SphericalGaussianModelFactory

Constructor.

SphericalGaussianModelFactory.Parameterizer<V extends NumberVector> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.em

Parameterization class

SphericalGaussianModelFactory.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.em.SphericalGaussianModelFactory.Parameterizer

SphericalHaversineEarthModel - Class in de.lmu.ifi.dbs.elki.math.geodesy

A simple spherical earth model using radius 6371009 m.

SphericalHaversineEarthModel() - Constructor for class de.lmu.ifi.dbs.elki.math.geodesy.SphericalHaversineEarthModel

Constructor.

SphericalHaversineEarthModel.Parameterizer - Class in de.lmu.ifi.dbs.elki.math.geodesy

Parameterization class.

SphericalHaversineEarthModel.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.geodesy.SphericalHaversineEarthModel.Parameterizer

SphericalVincentyEarthModel - Class in de.lmu.ifi.dbs.elki.math.geodesy

A simple spherical earth model using radius 6371009 m.

SphericalVincentyEarthModel() - Constructor for class de.lmu.ifi.dbs.elki.math.geodesy.SphericalVincentyEarthModel

Constructor.

SphericalVincentyEarthModel.Parameterizer - Class in de.lmu.ifi.dbs.elki.math.geodesy

Parameterization class.

SphericalVincentyEarthModel.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.geodesy.SphericalVincentyEarthModel.Parameterizer

sphericalVincentyFormulaDeg(double, double, double, double) - Static method in class de.lmu.ifi.dbs.elki.math.geodesy.SphereUtil

Compute the approximate great-circle distance of two points.

sphericalVincentyFormulaRad(double, double, double, double) - Static method in class de.lmu.ifi.dbs.elki.math.geodesy.SphereUtil

Compute the approximate great-circle distance of two points.

spinnerHeight - Variable in class de.lmu.ifi.dbs.elki.visualization.savedialog.SaveOptionsPanel

spinnerQual - Variable in class de.lmu.ifi.dbs.elki.visualization.savedialog.SaveOptionsPanel

spinnerWidth - Variable in class de.lmu.ifi.dbs.elki.visualization.savedialog.SaveOptionsPanel

split - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.cash.CASHInterval

The object to perform interval splitting.

split() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.cash.CASHInterval

Splits this interval into 2 children.

split(OutlierResult) - Method in class de.lmu.ifi.dbs.elki.evaluation.outlier.OutlierThresholdClustering

split(AbstractMTree<O, N, E, ?>, N) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.strategies.split.MLBDistSplit

Selects the second object of the specified node to be promoted and stored into the parent node and partitions the entries according to the M_LB_DIST strategy.

split(AbstractMTree<O, N, E, ?>, N) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.strategies.split.MMRadSplit

Selects two objects of the specified node to be promoted and stored into the parent node.

split(AbstractMTree<O, N, E, ?>, N) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.strategies.split.MRadSplit

Selects two objects of the specified node to be promoted and stored into the parent node.

split(AbstractMTree<O, N, E, ?>, N) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.strategies.split.MTreeSplit

Returns the assignments of this split.

split(AbstractMTree<O, N, E, ?>, N) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.strategies.split.RandomSplit

Selects two objects of the specified node to be promoted and stored into the parent node.

split(N) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.AbstractRStarTree

Splits the specified node and returns the newly created split node.

split(A, ArrayAdapter<E, A>, int) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.split.AngTanLinearSplit

split(A, ArrayAdapter<E, A>, int) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.split.GreeneSplit

split(A, ArrayAdapter<E, A>, int) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.split.RTreeLinearSplit

split(A, ArrayAdapter<E, A>, int) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.split.RTreeQuadraticSplit

split(A, ArrayAdapter<E, A>, int) - Method in interface de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.split.SplitStrategy

Split a page

split(A, ArrayAdapter<E, A>, int) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.split.TopologicalSplitter

SPLIT - Static variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.ListParameter

A pattern defining a ",".

SPLIT_STRATEGY_ID - Static variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.AbstractMTreeFactory.Parameterizer

Parameter to specify the splitting strategy to construct the tree.

SPLIT_STRATEGY_ID - Static variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.AbstractRStarTreeFactory.Parameterizer

Split strategy parameter.

splitAtLastBlank(String, int) - Static method in class de.lmu.ifi.dbs.elki.utilities.FormatUtil

Splits the specified string at the last blank before width.

splitByDistance(ArrayModifiableDBIDs, int, int, DoubleDataStore, Random) - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.fastoptics.RandomProjectedNeighborsAndDensities

Split the data set by distances.

splitByMask(AbstractNode<E>, long[]) - Method in class de.lmu.ifi.dbs.elki.index.tree.AbstractNode

Splits the entries of this node into a new node using the given assignments

splitCentroid(Cluster<? extends MeanModel>, Relation<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.XMeans

Split an existing centroid into two initial centers.

splitCluster(Cluster<M>, Database, Relation<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.XMeans

Conditionally splits the clusters based on the information criterion.

splitCol(int, double) - Method in class de.lmu.ifi.dbs.elki.visualization.gui.overview.RectangleArranger

splitfreq - Variable in class de.lmu.ifi.dbs.elki.evaluation.histogram.ComputeOutlierHistogram.Parameterizer

Flag to make split frequencies

splitfreq - Variable in class de.lmu.ifi.dbs.elki.evaluation.histogram.ComputeOutlierHistogram

Flag to make split frequencies

SPLITFREQ_ID - Static variable in class de.lmu.ifi.dbs.elki.evaluation.histogram.ComputeOutlierHistogram

Flag to count frequencies of outliers and non-outliers separately Key: -histogram.splitfreq

splitInitializer - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.XMeans.Parameterizer

Class to feed splits to the internal k-means algorithm.

splitInitializer - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.XMeans

Initializer for k-means.

SplitNumberVectorFilter<V extends NumberVector> - Class in de.lmu.ifi.dbs.elki.datasource.filter.typeconversions

Split an existing column into two types.

SplitNumberVectorFilter(int[]) - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.typeconversions.SplitNumberVectorFilter

Constructor.

SplitNumberVectorFilter.Parameterizer<V extends NumberVector> - Class in de.lmu.ifi.dbs.elki.datasource.filter.typeconversions

Parameterization class.

SplitNumberVectorFilter.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.typeconversions.SplitNumberVectorFilter.Parameterizer

SplitOnlyOverflowTreatment - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.overflow

Always split, as in the original R-Tree

SplitOnlyOverflowTreatment() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.overflow.SplitOnlyOverflowTreatment

Constructor

SplitOnlyOverflowTreatment.Parameterizer - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.overflow

Parameterization class.

SplitOnlyOverflowTreatment.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.overflow.SplitOnlyOverflowTreatment.Parameterizer

splitPartitions - Variable in class de.lmu.ifi.dbs.elki.index.vafile.PartialVAFile

Splitting grid.

splitPoint - Variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.split.TopologicalSplitter.Split

The index of the split point.

splitPositions - Variable in class de.lmu.ifi.dbs.elki.index.vafile.DAFile

Splitting grid.

splitPositions - Variable in class de.lmu.ifi.dbs.elki.index.vafile.VAFile

Quantile grid we use.

splitRandomly(ArrayModifiableDBIDs, int, int, DoubleDataStore, Random) - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.fastoptics.RandomProjectedNeighborsAndDensities

Split the data set randomly.

splitRow(int, double) - Method in class de.lmu.ifi.dbs.elki.visualization.gui.overview.RectangleArranger

splitsets - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.fastoptics.RandomProjectedNeighborsAndDensities

sets that resulted from recursive split of entire point set

splitStrategy - Variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.MTreeSettings

Splitting strategy.

SplitStrategy - Interface in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.split

Generic interface for split strategies.

splitTo(AbstractNode<E>, List<E>, int) - Method in class de.lmu.ifi.dbs.elki.index.tree.AbstractNode

Redistribute entries according to the given sorting.

splitTo(AbstractNode<E>, List<E>, List<E>) - Method in class de.lmu.ifi.dbs.elki.index.tree.AbstractNode

Splits the entries of this node into a new node using the given assignments

splitupNoSort(ArrayModifiableDBIDs, int, int, int, Random) - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.fastoptics.RandomProjectedNeighborsAndDensities

Recursively splits entire point set until the set is below a threshold

SQRT2 - Static variable in class de.lmu.ifi.dbs.elki.math.MathUtil

Square root of 2.

SQRT5 - Static variable in class de.lmu.ifi.dbs.elki.math.MathUtil

Square root of 5.

SQRT8_3 - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.LogNormalBilkovaLMMEstimator

Scaling constant.

SQRTHALF - Static variable in class de.lmu.ifi.dbs.elki.math.MathUtil

Square root of 0.5 == 1 / sqrt(2).

SQRTHALFPI - Static variable in class de.lmu.ifi.dbs.elki.math.MathUtil

Constant for sqrt(pi/2)

SqrtJensenShannonDivergenceDistanceFunction - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.probabilistic

The square root of Jensen-Shannon divergence is metric.

SqrtJensenShannonDivergenceDistanceFunction() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.probabilistic.SqrtJensenShannonDivergenceDistanceFunction

Deprecated.

Use static instance!

SqrtJensenShannonDivergenceDistanceFunction.Parameterizer - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.probabilistic

Parameterization class, using the static instance.

SqrtJensenShannonDivergenceDistanceFunction.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.probabilistic.SqrtJensenShannonDivergenceDistanceFunction.Parameterizer

SQRTPI - Static variable in class de.lmu.ifi.dbs.elki.math.MathUtil

Square root of Pi.

SqrtStandardDeviationScaling - Class in de.lmu.ifi.dbs.elki.utilities.scaling.outlier

Scaling that can map arbitrary values to a probability in the range of [0:1].

SqrtStandardDeviationScaling(Double, Double, double) - Constructor for class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.SqrtStandardDeviationScaling

Constructor.

SqrtStandardDeviationScaling.Parameterizer - Class in de.lmu.ifi.dbs.elki.utilities.scaling.outlier

Parameterization class.

SqrtStandardDeviationScaling.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.SqrtStandardDeviationScaling.Parameterizer

SQRTTWOPI - Static variable in class de.lmu.ifi.dbs.elki.math.MathUtil

Square root of two times Pi.

SQUARED - Static variable in class de.lmu.ifi.dbs.elki.database.query.knn.LinearScanEuclideanDistanceKNNQuery

Squared Euclidean distance function.

SQUARED - Static variable in class de.lmu.ifi.dbs.elki.database.query.range.LinearScanEuclideanDistanceRangeQuery

Squared Euclidean distance function.

SQUARED - Static variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.query.EuclideanRStarTreeKNNQuery

Squared euclidean distance function.

SQUARED - Static variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.query.EuclideanRStarTreeRangeQuery

Squared euclidean distance function.

SquaredEuclideanDistanceFunction - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski

Squared Euclidean distance, optimized for SparseNumberVectors.

SquaredEuclideanDistanceFunction() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.SquaredEuclideanDistanceFunction

Deprecated.

Use static instance!

SquaredEuclideanDistanceFunction.Parameterizer - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski

Parameterization class.

SquaredEuclideanDistanceFunction.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.SquaredEuclideanDistanceFunction.Parameterizer

squaredEuclideanLength() - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Vector

Returns the squared length of this vector: v^T * v.

SquaredPearsonCorrelationDistanceFunction - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.correlation

Squared Pearson correlation distance function for feature vectors.

SquaredPearsonCorrelationDistanceFunction() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.correlation.SquaredPearsonCorrelationDistanceFunction

Deprecated.

use static instance!

SquaredPearsonCorrelationDistanceFunction.Parameterizer - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.correlation

Parameterization class.

SquaredPearsonCorrelationDistanceFunction.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.correlation.SquaredPearsonCorrelationDistanceFunction.Parameterizer

SquaredUncenteredCorrelationDistanceFunction - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.correlation

Squared uncentered correlation distance function for feature vectors.

SquaredUncenteredCorrelationDistanceFunction() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.correlation.SquaredUncenteredCorrelationDistanceFunction

Deprecated.

Use static instance!

SquaredUncenteredCorrelationDistanceFunction.Parameterizer - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.correlation

Parameterization class.

SquaredUncenteredCorrelationDistanceFunction.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.correlation.SquaredUncenteredCorrelationDistanceFunction.Parameterizer

squareSum(double[]) - Static method in class de.lmu.ifi.dbs.elki.math.linearalgebra.VMath

Squared Euclidean length of the vector

ssqerr(int, int, double[], double[], double, double) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPTree

ssr - Variable in class de.lmu.ifi.dbs.elki.math.statistics.MultipleLinearRegression

The sum of square residuals

sst - Variable in class de.lmu.ifi.dbs.elki.math.statistics.MultipleLinearRegression

The sum of square totals

stack - Variable in class de.lmu.ifi.dbs.elki.application.jsmap.JSONBuffer

Operations stack for detecting errors

StackedIter<B,A extends B> - Class in de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy

Filtered iterator.

StackedIter(Hierarchy.Iter<? extends A>, Hierarchy<B>) - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.StackedIter

Constructor.

StandardCovarianceMatrixBuilder - Class in de.lmu.ifi.dbs.elki.math.linearalgebra.pca

Class for building a "traditional" covariance matrix.

StandardCovarianceMatrixBuilder() - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.StandardCovarianceMatrixBuilder

standardDeviation - Variable in class de.lmu.ifi.dbs.elki.data.model.CorrelationAnalysisSolution

The standard deviation within this solution.

standardDeviation() - Method in class de.lmu.ifi.dbs.elki.math.statistics.kernelfunctions.BiweightKernelDensityFunction

standardDeviation() - Method in class de.lmu.ifi.dbs.elki.math.statistics.kernelfunctions.CosineKernelDensityFunction

standardDeviation() - Method in class de.lmu.ifi.dbs.elki.math.statistics.kernelfunctions.EpanechnikovKernelDensityFunction

standardDeviation() - Method in class de.lmu.ifi.dbs.elki.math.statistics.kernelfunctions.GaussianKernelDensityFunction

standardDeviation() - Method in interface de.lmu.ifi.dbs.elki.math.statistics.kernelfunctions.KernelDensityFunction

Get the standard deviation of the kernel function.

standardDeviation() - Method in class de.lmu.ifi.dbs.elki.math.statistics.kernelfunctions.TriangularKernelDensityFunction

standardDeviation() - Method in class de.lmu.ifi.dbs.elki.math.statistics.kernelfunctions.TricubeKernelDensityFunction

standardDeviation() - Method in class de.lmu.ifi.dbs.elki.math.statistics.kernelfunctions.TriweightKernelDensityFunction

standardDeviation() - Method in class de.lmu.ifi.dbs.elki.math.statistics.kernelfunctions.UniformKernelDensityFunction

StandardDeviationScaling - Class in de.lmu.ifi.dbs.elki.utilities.scaling.outlier

Scaling that can map arbitrary values to a probability in the range of [0:1].

StandardDeviationScaling(Double, double) - Constructor for class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.StandardDeviationScaling

Constructor.

StandardDeviationScaling() - Constructor for class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.StandardDeviationScaling

Constructor.

StandardDeviationScaling.Parameterizer - Class in de.lmu.ifi.dbs.elki.utilities.scaling.outlier

Parameterization class.

StandardDeviationScaling.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.StandardDeviationScaling.Parameterizer

StandardizedTwoSampleAndersonDarlingTest - Class in de.lmu.ifi.dbs.elki.math.statistics.tests

Perform a two-sample Anderson-Darling rank test, and standardize the statistic according to Scholz and Stephens.

StandardizedTwoSampleAndersonDarlingTest() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.tests.StandardizedTwoSampleAndersonDarlingTest

standardNormalCDF(double) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.NormalDistribution

Cumulative probability density function (CDF) of a normal distribution.

standardNormalPDF(double) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.NormalDistribution

Probability density function of the normal distribution.

standardNormalQuantile(double) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.NormalDistribution

Approximate the inverse error function for normal distributions.

StarBasedReferencePoints - Class in de.lmu.ifi.dbs.elki.utilities.referencepoints

Star-based strategy to pick reference points.

StarBasedReferencePoints(boolean, double) - Constructor for class de.lmu.ifi.dbs.elki.utilities.referencepoints.StarBasedReferencePoints

Constructor.

StarBasedReferencePoints.Parameterizer - Class in de.lmu.ifi.dbs.elki.utilities.referencepoints

Parameterization class.

StarBasedReferencePoints.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.utilities.referencepoints.StarBasedReferencePoints.Parameterizer

start - Variable in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDRange.Itr

Interval start.

start - Variable in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDRange

Start value.

start - Variable in class de.lmu.ifi.dbs.elki.datasource.DBIDRangeDatabaseConnection.Parameterizer

Begin of interval

start - Variable in class de.lmu.ifi.dbs.elki.datasource.DBIDRangeDatabaseConnection

Begin of interval

start - Variable in class de.lmu.ifi.dbs.elki.parallel.ParallelExecutor.BlockArrayRunner

Start position

start - Variable in class de.lmu.ifi.dbs.elki.utilities.io.Tokenizer

Current positions of result and iterator.

START_ID - Static variable in class de.lmu.ifi.dbs.elki.datasource.DBIDRangeDatabaseConnection.Parameterizer

Parameter for starting ID to generate

START_TRACE_AT - Static variable in class de.lmu.ifi.dbs.elki.logging.ELKILogRecord

Name of this class.

startArray() - Method in class de.lmu.ifi.dbs.elki.application.jsmap.JSONBuffer

Start an array context.

startDrag(SVGPoint, Event) - Method in interface de.lmu.ifi.dbs.elki.visualization.batikutil.DragableArea.DragListener

Action to do on drag start.

startDrag(SVGPoint, Event) - Method in class de.lmu.ifi.dbs.elki.visualization.batikutil.DragableArea

Action to do on drag start.

startDrag(SVGPoint, Event) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.optics.OPTICSPlotCutVisualization.Instance

startDrag(SVGPoint, Event) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.optics.OPTICSPlotSelectionVisualization.Instance

startDrag(SVGPoint, Event) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.selection.SelectionToolAxisRangeVisualization.Instance

startDrag(SVGPoint, Event) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.selection.SelectionToolLineVisualization.Instance

startDrag(SVGPoint, Event) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection.MoveObjectsToolVisualization.Instance

startDrag(SVGPoint, Event) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection.SelectionToolCubeVisualization.Instance

startDrag(SVGPoint, Event) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection.SelectionToolDotVisualization.Instance

startDragPoint - Variable in class de.lmu.ifi.dbs.elki.visualization.batikutil.DragableArea

The point where the drag started.

startHash() - Method in class de.lmu.ifi.dbs.elki.application.jsmap.JSONBuffer

Start an hash context.

startid - Variable in class de.lmu.ifi.dbs.elki.datasource.ArrayAdapterDatabaseConnection

Starting ID for fixed object ids.

startid - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.FixedDBIDsFilter.Parameterizer

First ID to use.

startindex - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.optics.OPTICSXi.SteepArea

Start index of down-area

startIndex - Variable in class de.lmu.ifi.dbs.elki.data.model.OPTICSModel

Start index

startk - Variable in class de.lmu.ifi.dbs.elki.application.experiments.EvaluateIntrinsicDimensionalityEstimators.Parameterizer

Benchmark parameters.

startk - Variable in class de.lmu.ifi.dbs.elki.application.experiments.EvaluateIntrinsicDimensionalityEstimators

Benchmark parameters.

startk - Variable in class de.lmu.ifi.dbs.elki.application.greedyensemble.ComputeKNNOutlierScores.Parameterizer

starting value of k

startk - Variable in class de.lmu.ifi.dbs.elki.application.greedyensemble.ComputeKNNOutlierScores

Starting value of k.

STARTK_ID - Static variable in class de.lmu.ifi.dbs.elki.application.experiments.EvaluateIntrinsicDimensionalityEstimators.Parameterizer

Initial neighborhood size.

STARTK_ID - Static variable in class de.lmu.ifi.dbs.elki.application.greedyensemble.ComputeKNNOutlierScores.Parameterizer

Option ID for k start size.

startTask() - Method in class de.lmu.ifi.dbs.elki.gui.minigui.MiniGUI

Do a full run of the KDDTask with the specified parameters.

STAT - Variable in class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.APRIORI

Statistics logging prefix.

STAT - Static variable in class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.Eclat

Prefix for statistics.

STAT - Static variable in class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.FPGrowth

Prefix for statistics.

state - Variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.AbstractParameterizer

Parameterization state.

STATE_COMPLETE - Static variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.AbstractParameterizer

Constant for "complete" state.

STATE_ERRORS - Static variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.AbstractParameterizer

Constant for "errors" state.

STATE_FRESH - Static variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.AbstractParameterizer

Constant for "fresh" state.

STATE_INIT - Static variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.AbstractParameterizer

Constant for "initializing" state.

stateChanged(ChangeEvent) - Method in class de.lmu.ifi.dbs.elki.gui.configurator.ClassListParameterConfigurator

stateChanged(ChangeEvent) - Method in class de.lmu.ifi.dbs.elki.gui.configurator.ClassParameterConfigurator

stateChanged(ChangeEvent) - Method in class de.lmu.ifi.dbs.elki.gui.configurator.ConfiguratorPanel

stateChanged(ChangeEvent) - Method in class de.lmu.ifi.dbs.elki.gui.multistep.panels.ParameterTabPanel

statements - Variable in class de.lmu.ifi.dbs.elki.visualization.css.CSSClass

Actual CSS statements

STATIC - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.CentroidLinkageMethod

Static instance of class.

STATIC - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.CompleteLinkageMethod

Static instance of class.

STATIC - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.GroupAverageLinkageMethod

Static instance of class.

STATIC - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.MedianLinkageMethod

Static instance of class.

STATIC - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.SingleLinkageMethod

Static instance of class.

STATIC - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.WardLinkageMethod

Static instance of class.

STATIC - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.WeightedAverageLinkageMethod

Static instance of class.

STATIC - Static variable in class de.lmu.ifi.dbs.elki.algorithm.statistics.EvaluateRetrievalPerformance.KNNEvaluator

Static instance.

STATIC - Static variable in class de.lmu.ifi.dbs.elki.data.ByteVector

Static instance (object factory).

STATIC - Static variable in class de.lmu.ifi.dbs.elki.data.IntegerVector

Static instance (object factory).

STATIC - Static variable in class de.lmu.ifi.dbs.elki.data.OneDimensionalDoubleVector

Static factory instance.

STATIC - Static variable in class de.lmu.ifi.dbs.elki.data.ShortVector

Static instance (object factory).

STATIC - Static variable in class de.lmu.ifi.dbs.elki.data.type.TypeInformationSerializer

Static instance.

STATIC - Static variable in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.instancewise.HellingerHistogramNormalization

Static instance.

STATIC - Static variable in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.instancewise.Log1PlusNormalization

Static instance.

STATIC - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.ArcCosineDistanceFunction

Static instance

STATIC - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.CanberraDistanceFunction

Static instance.

STATIC - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.ClarkDistanceFunction

Static instance.

STATIC - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.colorhistogram.HistogramIntersectionDistanceFunction

Static instance

STATIC - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.correlation.AbsolutePearsonCorrelationDistanceFunction

Static instance.

STATIC - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.correlation.AbsoluteUncenteredCorrelationDistanceFunction

Static instance.

STATIC - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.correlation.PearsonCorrelationDistanceFunction

Static instance.

STATIC - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.correlation.SquaredPearsonCorrelationDistanceFunction

Static instance.

STATIC - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.correlation.SquaredUncenteredCorrelationDistanceFunction

Static instance.

STATIC - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.correlation.UncenteredCorrelationDistanceFunction

Static instance.

STATIC - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.CosineDistanceFunction

Static instance

STATIC - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.histogram.HistogramMatchDistanceFunction

Static instance.

STATIC - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.histogram.KolmogorovSmirnovDistanceFunction

Static instance.

STATIC - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.Kulczynski1DistanceFunction

Static instance.

STATIC - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.LorentzianDistanceFunction

Static instance.

STATIC - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.EuclideanDistanceFunction

Static instance.

STATIC - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.ManhattanDistanceFunction

The static instance to use.

STATIC - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.MaximumDistanceFunction

Static instance.

STATIC - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.MinimumDistanceFunction

Static instance.

STATIC - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.SparseEuclideanDistanceFunction

Static instance

STATIC - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.SparseManhattanDistanceFunction

Static instance

STATIC - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.SparseMaximumDistanceFunction

Static instance

STATIC - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.SquaredEuclideanDistanceFunction

Static instance.

STATIC - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.probabilistic.ChiSquaredDistanceFunction

Static instance.

STATIC - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.probabilistic.HellingerDistanceFunction

Static instance.

STATIC - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.probabilistic.JeffreyDivergenceDistanceFunction

Static instance.

STATIC - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.probabilistic.JensenShannonDivergenceDistanceFunction

Static instance.

STATIC - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.probabilistic.KullbackLeiblerDivergenceAsymmetricDistanceFunction

Static instance.

STATIC - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.probabilistic.KullbackLeiblerDivergenceReverseAsymmetricDistanceFunction

Static instance.

STATIC - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.probabilistic.SqrtJensenShannonDivergenceDistanceFunction

Static instance.

STATIC - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.RandomStableDistanceFunction

Static instance

STATIC - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.set.HammingDistanceFunction

Static instance.

STATIC - Static variable in class de.lmu.ifi.dbs.elki.distance.similarityfunction.cluster.ClusteringAdjustedRandIndexSimilarityFunction

Static instance.

STATIC - Static variable in class de.lmu.ifi.dbs.elki.distance.similarityfunction.cluster.ClusteringBCubedF1SimilarityFunction

Static instance.

STATIC - Static variable in class de.lmu.ifi.dbs.elki.distance.similarityfunction.cluster.ClusteringFowlkesMallowsSimilarityFunction

Static instance.

STATIC - Static variable in class de.lmu.ifi.dbs.elki.distance.similarityfunction.cluster.ClusteringRandIndexSimilarityFunction

Static instance.

STATIC - Static variable in class de.lmu.ifi.dbs.elki.distance.similarityfunction.cluster.ClusterIntersectionSimilarityFunction

Static instance.

STATIC - Static variable in class de.lmu.ifi.dbs.elki.distance.similarityfunction.cluster.ClusterJaccardSimilarityFunction

Static instance.

STATIC - Static variable in class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.LinearKernelFunction

Static instance.

STATIC - Static variable in class de.lmu.ifi.dbs.elki.distance.similarityfunction.Kulczynski1SimilarityFunction

Static instance.

STATIC - Static variable in class de.lmu.ifi.dbs.elki.evaluation.scores.AveragePrecisionEvaluation

Static instance

STATIC - Static variable in class de.lmu.ifi.dbs.elki.evaluation.scores.MaximumF1Evaluation

Static instance

STATIC - Static variable in class de.lmu.ifi.dbs.elki.evaluation.scores.ROCEvaluation

Static instance

STATIC - Static variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.bulk.AdaptiveSortTileRecursiveBulkSplit

Static instance.

STATIC - Static variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.bulk.FileOrderBulkSplit

Static instance

STATIC - Static variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.bulk.MaxExtensionBulkSplit

Static instance

STATIC - Static variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.bulk.MaxExtensionSortTileRecursiveBulkSplit

Static instance.

STATIC - Static variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.bulk.OneDimSortBulkSplit

Static instance.

STATIC - Static variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.bulk.SortTileRecursiveBulkSplit

Static instance.

STATIC - Static variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.insert.LeastEnlargementInsertionStrategy

Static instance.

STATIC - Static variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.insert.LeastEnlargementWithAreaInsertionStrategy

Static instance.

STATIC - Static variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.insert.LeastOverlapInsertionStrategy

Static instance.

STATIC - Static variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.overflow.SplitOnlyOverflowTreatment

Static instance

STATIC - Static variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.split.AngTanLinearSplit

Static instance.

STATIC - Static variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.split.GreeneSplit

Static instance.

STATIC - Static variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.split.RTreeLinearSplit

Static instance.

STATIC - Static variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.split.RTreeQuadraticSplit

Static instance.

STATIC - Static variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.split.TopologicalSplitter

Static instance.

STATIC - Static variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.util.NodeArrayAdapter

Static adapter.

STATIC - Static variable in class de.lmu.ifi.dbs.elki.math.dimensionsimilarity.CovarianceDimensionSimilarity

Static instance

STATIC - Static variable in class de.lmu.ifi.dbs.elki.math.dimensionsimilarity.HSMDimensionSimilarity

Static instance.

STATIC - Static variable in class de.lmu.ifi.dbs.elki.math.dimensionsimilarity.MCEDimensionSimilarity

Static instance.

STATIC - Static variable in class de.lmu.ifi.dbs.elki.math.dimensionsimilarity.SlopeDimensionSimilarity

Static instance.

STATIC - Static variable in class de.lmu.ifi.dbs.elki.math.dimensionsimilarity.SlopeInversionDimensionSimilarity

Static instance.

STATIC - Static variable in class de.lmu.ifi.dbs.elki.math.dimensionsimilarity.SURFINGDimensionSimilarity

Static instance.

STATIC - Static variable in class de.lmu.ifi.dbs.elki.math.geodesy.Clarke1858SpheroidEarthModel

Static instance.

STATIC - Static variable in class de.lmu.ifi.dbs.elki.math.geodesy.Clarke1880SpheroidEarthModel

Static instance.

STATIC - Static variable in class de.lmu.ifi.dbs.elki.math.geodesy.GRS67SpheroidEarthModel

Static instance.

STATIC - Static variable in class de.lmu.ifi.dbs.elki.math.geodesy.GRS80SpheroidEarthModel

Static instance.

STATIC - Static variable in class de.lmu.ifi.dbs.elki.math.geodesy.SphericalCosineEarthModel

Spherical earth model, static instance.

STATIC - Static variable in class de.lmu.ifi.dbs.elki.math.geodesy.SphericalHaversineEarthModel

Spherical earth model, static instance.

STATIC - Static variable in class de.lmu.ifi.dbs.elki.math.geodesy.SphericalVincentyEarthModel

Spherical earth model, static instance.

STATIC - Static variable in class de.lmu.ifi.dbs.elki.math.geodesy.WGS72SpheroidEarthModel

Static instance.

STATIC - Static variable in class de.lmu.ifi.dbs.elki.math.geodesy.WGS84SpheroidEarthModel

Static instance.

STATIC - Static variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.fitting.GaussianFittingFunction

Static instance

STATIC - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.dependence.CorrelationDependenceMeasure

Static instance.

STATIC - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.dependence.DistanceCorrelationDependenceMeasure

Static instance.

STATIC - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.dependence.HoeffdingsDDependenceMeasure

Static instance.

STATIC - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.dependence.HSMDependenceMeasure

Static instance.

STATIC - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.dependence.JensenShannonEquiwidthDependenceMeasure

Static instance.

STATIC - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.dependence.MCEDependenceMeasure

Static instance.

STATIC - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.dependence.MutualInformationEquiwidthDependenceMeasure

Static instance.

STATIC - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.dependence.SlopeDependenceMeasure

Static instance.

STATIC - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.dependence.SlopeInversionDependenceMeasure

Static instance.

STATIC - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.dependence.SpearmanCorrelationDependenceMeasure

Static instance.

STATIC - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.dependence.SURFINGDependenceMeasure

Static instance.

STATIC - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.CauchyMADEstimator

Static instance.

STATIC - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.EMGOlivierNorbergEstimator

Static estimator class.

STATIC - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.ExponentialLMMEstimator

Static instance.

STATIC - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.ExponentialMADEstimator

Static instance.

STATIC - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.ExponentialMedianEstimator

Static instance.

STATIC - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.ExponentialMOMEstimator

Static instance.

STATIC - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.GammaChoiWetteEstimator

Static estimation, using iterative refinement.

STATIC - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.GammaLMMEstimator

Static instance.

STATIC - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.GammaMADEstimator

Static instance.

STATIC - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.GammaMOMEstimator

Static estimation using just the mean and variance.

STATIC - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.GeneralizedExtremeValueLMMEstimator

Static instance.

STATIC - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.GeneralizedLogisticAlternateLMMEstimator

Static instance.

STATIC - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.GeneralizedParetoLMMEstimator

Static instance.

STATIC - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.GumbelLMMEstimator

Static instance.

STATIC - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.GumbelMADEstimator

Static instance.

STATIC - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.LaplaceLMMEstimator

Static instance.

STATIC - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.LaplaceMADEstimator

Static instance.

STATIC - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.LaplaceMLEEstimator

Static instance.

STATIC - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.LogGammaAlternateExpMADEstimator

Static estimator, more robust to outliers by using the median.

STATIC - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.LogGammaChoiWetteEstimator

Static estimation, using iterative refinement.

STATIC - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.LogGammaLogMADEstimator

Static estimator, more robust to outliers by using the median.

STATIC - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.LogGammaLogMOMEstimator

Static estimation using just the mean and variance.

STATIC - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.LogisticLMMEstimator

Static instance.

STATIC - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.LogisticMADEstimator

Static instance.

STATIC - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.LogLogisticMADEstimator

Static instance.

STATIC - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.LogNormalBilkovaLMMEstimator

Static instance.

STATIC - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.LogNormalLevenbergMarquardtKDEEstimator

Static estimator for small sample sizes and partial data.

STATIC - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.LogNormalLMMEstimator

Static instance.

STATIC - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.LogNormalLogMADEstimator

Static estimator, more robust to outliers by using the median.

STATIC - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.LogNormalLogMOMEstimator

Static estimator, using mean and variance.

STATIC - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.meta.BestFitEstimator

Static instance.

STATIC - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.NormalLevenbergMarquardtKDEEstimator

Static estimator for small sample sizes and partial data.

STATIC - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.NormalLMMEstimator

Static instance

STATIC - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.NormalMADEstimator

Static estimator, more robust to outliers by using the median.

STATIC - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.NormalMOMEstimator

Static estimator, using mean and variance.

STATIC - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.RayleighLMMEstimator

Static instance.

STATIC - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.RayleighMADEstimator

Static instance.

STATIC - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.RayleighMLEEstimator

Static instance.

STATIC - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.SkewGNormalLMMEstimator

Static instance.

STATIC - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.UniformEnhancedMinMaxEstimator

Slightly more refined estimator: takes sample size into account.

STATIC - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.UniformLMMEstimator

Static instance

STATIC - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.UniformMADEstimator

Static instance.

STATIC - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.UniformMinMaxEstimator

The most naive estimator possible: uses minimum and maximum.

STATIC - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.WaldMLEstimator

Static instance.

STATIC - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.WaldMOMEstimator

Static instance.

STATIC - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.WeibullLMMEstimator

Static instance.

STATIC - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.WeibullLogMADEstimator

The more robust median based estimator.

STATIC - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.WeibullLogMOMEstimator

The naive least-squares estimator.

STATIC - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.intrinsicdimensionality.AggregatedHillEstimator

Static instance.

STATIC - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.intrinsicdimensionality.EnsembleEstimator

Static instance.

STATIC - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.intrinsicdimensionality.GEDEstimator

Static instance.

STATIC - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.intrinsicdimensionality.HillEstimator

Static instance.

STATIC - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.intrinsicdimensionality.LMomentsEstimator

Static instance.

STATIC - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.intrinsicdimensionality.MOMEstimator

Static instance.

STATIC - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.intrinsicdimensionality.PWM2Estimator

Static instance.

STATIC - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.intrinsicdimensionality.PWMEstimator

Static instance.

STATIC - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.intrinsicdimensionality.RVEstimator

Static instance.

STATIC - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.intrinsicdimensionality.ZipfEstimator

Static instance.

STATIC - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.tests.AndersonDarlingTest

Static instance.

STATIC - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.tests.KolmogorovSmirnovTest

Static instance

STATIC - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.tests.StandardizedTwoSampleAndersonDarlingTest

Static instance.

STATIC - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.tests.WelchTTest

Static instance.

STATIC - Static variable in class de.lmu.ifi.dbs.elki.parallel.ParallelCore

Static core

STATIC - Static variable in class de.lmu.ifi.dbs.elki.utilities.ensemble.EnsembleVotingInverseMultiplicative

Static instance.

STATIC - Static variable in class de.lmu.ifi.dbs.elki.utilities.ensemble.EnsembleVotingMultiplicative

Static instance.

STATIC_CONTINUOUS - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.BrayCurtisDistanceFunction

Static instance.

STATIC_CONTINUOUS - Static variable in class de.lmu.ifi.dbs.elki.distance.similarityfunction.Kulczynski2SimilarityFunction

Static instance.

STATIC_SENSITIVE - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.strings.LevenshteinDistanceFunction

Static instance, case sensitive.

STATIC_SENSITIVE - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.strings.NormalizedLevenshteinDistanceFunction

Static instance, case sensitive.

STATIC_SERIALIZER - Static variable in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBID

The public instance to use for static serialization.

StaticArrayDatabase - Class in de.lmu.ifi.dbs.elki.database

This database class uses array-based storage and thus does not allow for dynamic insert, delete and update operations.

StaticArrayDatabase(DatabaseConnection, Collection<IndexFactory<?, ?>>) - Constructor for class de.lmu.ifi.dbs.elki.database.StaticArrayDatabase

Constructor.

StaticArrayDatabase() - Constructor for class de.lmu.ifi.dbs.elki.database.StaticArrayDatabase

Constructor with no indexes.

StaticArrayDatabase.Parameterizer - Class in de.lmu.ifi.dbs.elki.database

Parameterization class.

StaticArrayDatabase.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.database.StaticArrayDatabase.Parameterizer

StaticDBIDs - Interface in de.lmu.ifi.dbs.elki.database.ids

Unmodifiable DBIDs.

StaticScalingFunction - Interface in de.lmu.ifi.dbs.elki.utilities.scaling

Interface for Scaling functions that do NOT depend on analyzing the data set.

StaticVisualizationInstance - Class in de.lmu.ifi.dbs.elki.visualization.visualizers

Static visualization

StaticVisualizationInstance(VisualizationTask, VisualizationPlot, double, double, Element) - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.StaticVisualizationInstance

Unchanging precomputed visualization.

Statistic - Interface in de.lmu.ifi.dbs.elki.logging.statistics

Abstract base interface for statistics tracking.

StatisticalMoments - Class in de.lmu.ifi.dbs.elki.math

Track various statistical moments, including mean, variance, skewness and kurtosis.

StatisticalMoments() - Constructor for class de.lmu.ifi.dbs.elki.math.StatisticalMoments

Empty constructor

StatisticalMoments(StatisticalMoments) - Constructor for class de.lmu.ifi.dbs.elki.math.StatisticalMoments

Constructor from other instance

statistics - Variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.AbstractMTree

For counting the number of distance computations.

statistics - Variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.AbstractRStarTree

For counting the number of distance computations.

STATISTICS - Static variable in class de.lmu.ifi.dbs.elki.logging.Logging.Level

Additional level for logging: statistics and timing information.

statistics(CharSequence, Throwable) - Method in class de.lmu.ifi.dbs.elki.logging.Logging

Log a message at the 'STATISTICS' level.

statistics(CharSequence) - Method in class de.lmu.ifi.dbs.elki.logging.Logging

Log a message at the 'STATISTICS' level.

statistics(Statistic) - Method in class de.lmu.ifi.dbs.elki.logging.Logging

Log a statistics object.

stats - Variable in class de.lmu.ifi.dbs.elki.index.vafile.PartialVAFile

Statistics.

statTest - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.meta.HiCS.Parameterizer

Holds the value of HiCS.Parameterizer.TEST_ID.

statTest - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.meta.HiCS

Statistical test to use.

statTest - Variable in class de.lmu.ifi.dbs.elki.math.dimensionsimilarity.HiCSDimensionSimilarity.Parameterizer

Statistical test to use

statTest - Variable in class de.lmu.ifi.dbs.elki.math.dimensionsimilarity.HiCSDimensionSimilarity

Statistical test to use

statTest - Variable in class de.lmu.ifi.dbs.elki.math.statistics.dependence.HiCSDependenceMeasure.Parameterizer

Statistical test to use

statTest - Variable in class de.lmu.ifi.dbs.elki.math.statistics.dependence.HiCSDependenceMeasure

Statistical test to use

statusText - Variable in class de.lmu.ifi.dbs.elki.gui.multistep.panels.ParameterTabPanel

The status text field

stddev - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise.AttributeWiseVarianceNormalization.Parameterizer

Stores the standard deviation in each dimension.

stddev - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise.AttributeWiseVarianceNormalization

Stores the standard deviation in each dimension.

stddev - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.ExponentiallyModifiedGaussianDistribution.Parameterizer

Parameters.

stddev - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.ExponentiallyModifiedGaussianDistribution

Standard deviation

stddev - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.NormalDistribution

Standard deviation

stddev - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.SkewGeneralizedNormalDistribution

Standard deviation

STDDEV - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.kernelfunctions.BiweightKernelDensityFunction

Standard deviation.

STDDEV - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.kernelfunctions.CosineKernelDensityFunction

Standard deviation.

STDDEV - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.kernelfunctions.EpanechnikovKernelDensityFunction

Standard deviation.

STDDEV - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.kernelfunctions.TriangularKernelDensityFunction

Standard deviation.

STDDEV - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.kernelfunctions.TricubeKernelDensityFunction

Standard deviation.

STDDEV - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.kernelfunctions.TriweightKernelDensityFunction

Standard deviation.

STDDEV - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.kernelfunctions.UniformKernelDensityFunction

Standard deviation.

stddev - Variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.HeDESNormalizationOutlierScaling

Standard deviation

STDDEV_ID - Static variable in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise.AttributeWiseVarianceNormalization.Parameterizer

Parameter for stddevs.

steepDown(double) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.optics.OPTICSXi.SteepScanPosition

Test for a steep down area.

steepUp(double) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.optics.OPTICSXi.SteepScanPosition

Test for a steep up point.

step1(DBIDRef, WritableDBIDDataStore, WritableDoubleDataStore) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.SLINKHDBSCANLinearMemory

First step: Initialize P(id) = id, L(id) = infinity.

step2(DBIDRef, DBIDArrayIter, int, DistanceQuery<? super O>, WritableDoubleDataStore) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.SLINK

Second step: Determine the pairwise distances from all objects in the pointer representation to the new object with the specified id.

step2(DBIDRef, DBIDs, DistanceQuery<? super O>, DoubleDataStore, WritableDoubleDataStore) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.SLINKHDBSCANLinearMemory

Second step: Determine the pairwise distances from all objects in the pointer representation to the new object with the specified id.

step2primitive(DBIDRef, DBIDArrayIter, int, Relation<? extends O>, PrimitiveDistanceFunction<? super O>, WritableDoubleDataStore) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.SLINK

Second step: Determine the pairwise distances from all objects in the pointer representation to the new object with the specified id.

step3(DBIDRef, WritableDBIDDataStore, WritableDoubleDataStore, DBIDs, WritableDoubleDataStore) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.SLINKHDBSCANLinearMemory

Third step: Determine the values for P and L

step4(DBIDRef, WritableDBIDDataStore, WritableDoubleDataStore, DBIDs) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.SLINKHDBSCANLinearMemory

Fourth step: Actualize the clusters if necessary

stepk - Variable in class de.lmu.ifi.dbs.elki.application.greedyensemble.ComputeKNNOutlierScores.Parameterizer

k step size

stepk - Variable in class de.lmu.ifi.dbs.elki.application.greedyensemble.ComputeKNNOutlierScores

k step size

STEPK_ID - Static variable in class de.lmu.ifi.dbs.elki.application.greedyensemble.ComputeKNNOutlierScores.Parameterizer

Option ID for k step size.

StepProgress - Class in de.lmu.ifi.dbs.elki.logging.progress

This progress class is used for multi-step processing.

StepProgress(int) - Constructor for class de.lmu.ifi.dbs.elki.logging.progress.StepProgress

Constructor.

StepProgress(String, int) - Constructor for class de.lmu.ifi.dbs.elki.logging.progress.StepProgress

Constructor.

stepresult - Variable in class de.lmu.ifi.dbs.elki.workflow.AlgorithmStep

The algorithm output

stepresult - Variable in class de.lmu.ifi.dbs.elki.workflow.EvaluationStep

Result.

steps - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood.ExtendedNeighborhood.Factory.Parameterizer

The number of steps to do.

steps - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood.ExtendedNeighborhood.Factory

Number of steps to do

steps - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood.weighted.LinearWeightedExtendedNeighborhood.Factory.Parameterizer

The number of steps to do.

steps - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood.weighted.LinearWeightedExtendedNeighborhood.Factory

Number of steps to do

steps - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood.weighted.LinearWeightedExtendedNeighborhood

The number of steps to extend to.

steps - Variable in class de.lmu.ifi.dbs.elki.application.geo.VisualizeGeodesicDistances.Parameterizer

Number of steps in the color map.

steps - Variable in class de.lmu.ifi.dbs.elki.application.geo.VisualizeGeodesicDistances

Number of steps for shades.

STEPS - Static variable in class de.lmu.ifi.dbs.elki.math.dimensionsimilarity.HSMDimensionSimilarity

Angular resolution.

steps - Variable in class de.lmu.ifi.dbs.elki.math.SinCosTable

Number of steps.

STEPS - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.dependence.HSMDependenceMeasure

Angular resolution.

STEPS_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood.ExtendedNeighborhood.Factory.Parameterizer

Parameter to specify the number of steps allowed

STEPS_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood.weighted.LinearWeightedExtendedNeighborhood.Factory.Parameterizer

Parameter to specify the number of steps allowed

STEPS_ID - Static variable in class de.lmu.ifi.dbs.elki.application.geo.VisualizeGeodesicDistances.Parameterizer

Number of steps in the distance map.

stepTitle - Variable in class de.lmu.ifi.dbs.elki.logging.progress.StepProgress

Title of the current step.

STIRLING_EXACT_ERROR - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.PoissonDistribution

Exact table values for n <= 15 in steps of 0.5 sfe[n] = ln( (n!

stirlingError(int) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.PoissonDistribution

Calculates the Striling Error stirlerr(n) = ln(n!)

stirlingError(double) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.PoissonDistribution

Calculates the Striling Error stirlerr(n) = ln(n!)

StockIcon - Class in de.lmu.ifi.dbs.elki.gui.icons

Stock icon library for use in the GUI.

StockIcon() - Constructor for class de.lmu.ifi.dbs.elki.gui.icons.StockIcon

stop() - Method in class de.lmu.ifi.dbs.elki.application.jsmap.JSONWebServer

Stop the web server.

STOPVAL - Static variable in class de.lmu.ifi.dbs.elki.math.spacefillingcurves.ZCurveSpatialSorter

storage - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.AbstractRangeQueryNeighborPredicate.Instance

Model storage.

storage - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.AbstractPreprocessorIndex

The data store.

store - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood.AbstractPrecomputedNeighborhood

The data

store - Variable in class de.lmu.ifi.dbs.elki.database.ids.integer.ArrayModifiableIntegerDBIDs

The backing array list.

store - Variable in class de.lmu.ifi.dbs.elki.database.ids.integer.ArrayStaticIntegerDBIDs

The actual storage.

store - Variable in class de.lmu.ifi.dbs.elki.database.ids.integer.TroveHashSetModifiableDBIDs

The actual store.

store - Variable in class de.lmu.ifi.dbs.elki.gui.minigui.MiniGUI.SettingsComboboxModel

Settings storage.

store - Variable in class de.lmu.ifi.dbs.elki.gui.minigui.MiniGUI

Settings storage.

store - Variable in class de.lmu.ifi.dbs.elki.gui.multistep.panels.SavedSettingsTabPanel.SettingsComboboxModel

Settings storage

store - Variable in class de.lmu.ifi.dbs.elki.gui.multistep.panels.SavedSettingsTabPanel

The settings file to display.

store - Variable in class de.lmu.ifi.dbs.elki.gui.util.SavedSettingsFile

Data store

store - Variable in class de.lmu.ifi.dbs.elki.parallel.processor.WriteDataStoreProcessor

Store to write to

store - Variable in class de.lmu.ifi.dbs.elki.parallel.processor.WriteDoubleDataStoreProcessor

Store to write to

store - Variable in class de.lmu.ifi.dbs.elki.parallel.processor.WriteIntegerDataStoreProcessor

Store to write to

store - Variable in class de.lmu.ifi.dbs.elki.visualization.css.CSSClassManager

Store the contained CSS classes.

STR_CHOOSE_FORMAT - Static variable in class de.lmu.ifi.dbs.elki.visualization.savedialog.SaveOptionsPanel

STR_IMAGE_HEIGHT - Static variable in class de.lmu.ifi.dbs.elki.visualization.savedialog.SaveOptionsPanel

STR_IMAGE_SIZE - Static variable in class de.lmu.ifi.dbs.elki.visualization.savedialog.SaveOptionsPanel

STR_IMAGE_WIDTH - Static variable in class de.lmu.ifi.dbs.elki.visualization.savedialog.SaveOptionsPanel

STR_JPEG_QUALITY - Static variable in class de.lmu.ifi.dbs.elki.visualization.savedialog.SaveOptionsPanel

STR_LOCK_ASPECT_RATIO - Static variable in class de.lmu.ifi.dbs.elki.visualization.savedialog.SaveOptionsPanel

STR_RESET_IMAGE_SIZE - Static variable in class de.lmu.ifi.dbs.elki.visualization.savedialog.SaveOptionsPanel

STRAIGHT_ID - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.cluster.ClusterOutlineVisualization.Parameterizer

Option string to draw straight lines for hull.

strategy - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.preference.DiSHPreferenceVectorIndex.Factory.Parameterizer

The strategy to determine the preference vector.

strategy - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.preference.DiSHPreferenceVectorIndex.Factory

The strategy to determine the preference vector.

strategy - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.preference.DiSHPreferenceVectorIndex

The strategy to determine the preference vector.

STRATEGY_ID - Static variable in class de.lmu.ifi.dbs.elki.index.preprocessed.preference.DiSHPreferenceVectorIndex.Factory

The strategy for determination of the preference vector, available strategies are: DiSHPreferenceVectorIndex.Strategy.APRIORI and DiSHPreferenceVectorIndex.Strategy.MAX_INTERSECTION.

StratifiedCrossValidation - Class in de.lmu.ifi.dbs.elki.evaluation.classification.holdout

A stratified n-fold crossvalidation to distribute the data to n buckets where each bucket exhibits approximately the same distribution of classes as does the complete data set.

StratifiedCrossValidation(int) - Constructor for class de.lmu.ifi.dbs.elki.evaluation.classification.holdout.StratifiedCrossValidation

Provides a stratified crossvalidation.

StratifiedCrossValidation.Parameterizer - Class in de.lmu.ifi.dbs.elki.evaluation.classification.holdout

Parameterization class

StratifiedCrossValidation.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.evaluation.classification.holdout.StratifiedCrossValidation.Parameterizer

stream - Variable in class de.lmu.ifi.dbs.elki.result.textwriter.SingleStreamOutput

Output stream

StreamFactory - Interface in de.lmu.ifi.dbs.elki.result.textwriter

Interface for output handling (single file, multiple files, ...)

StreamFilter - Interface in de.lmu.ifi.dbs.elki.datasource.filter

Streaming filters are often more efficient (less memory use) as they do not keep a reference to earlier data.

StreamFromBundle - Class in de.lmu.ifi.dbs.elki.datasource.bundle

Convert a MultipleObjectsBundle to a stream.

StreamFromBundle(MultipleObjectsBundle) - Constructor for class de.lmu.ifi.dbs.elki.datasource.bundle.StreamFromBundle

Constructor.

StreamingParser - Interface in de.lmu.ifi.dbs.elki.datasource.parser

Interface for streaming parsers, that may be much more efficient in combination with filters.

STRING - Static variable in class de.lmu.ifi.dbs.elki.data.type.TypeUtil

A string.

STRING_NULL - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.set.AbstractSetDistanceFunction

Empty string.

STRING_OPTIONAL - Static variable in class de.lmu.ifi.dbs.elki.gui.util.DynamicParameters

Pseudo-value used in options that are optional, to unset.

STRING_SERIALIZER - Static variable in class de.lmu.ifi.dbs.elki.utilities.io.ByteArrayUtil

Static instance.

STRING_USE_DEFAULT - Static variable in class de.lmu.ifi.dbs.elki.gui.util.DynamicParameters

Pseudo-value used in dropdowns for options that have a default value

StringLengthConstraint - Class in de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints

Length constraint for a StringParameter .

StringLengthConstraint(int, int) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints.StringLengthConstraint

Constructor with minimum and maximum length.

StringParameter - Class in de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters

Parameter class for a parameter specifying a string.

StringParameter(OptionID, String) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.StringParameter

Constructs a string parameter with the given optionID, and default value.

StringParameter(OptionID) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.StringParameter

Constructs a string parameter with the given optionID.

StringParser - Class in de.lmu.ifi.dbs.elki.datasource.parser

Parser that loads a text file for use with string similarity measures.

StringParser(Pattern, boolean) - Constructor for class de.lmu.ifi.dbs.elki.datasource.parser.StringParser

Constructor.

StringParser.Parameterizer - Class in de.lmu.ifi.dbs.elki.datasource.parser

Parameterization class.

StringParser.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.datasource.parser.StringParser.Parameterizer

stringSize(int) - Static method in class de.lmu.ifi.dbs.elki.utilities.FormatUtil

Compute the number of characters needed to represent the integer x.

stringSize(long) - Static method in class de.lmu.ifi.dbs.elki.utilities.FormatUtil

Compute the number of characters needed to represent the integer x.

StringStatistic - Class in de.lmu.ifi.dbs.elki.logging.statistics

Trivial string based statistic.

StringStatistic(String, String) - Constructor for class de.lmu.ifi.dbs.elki.logging.statistics.StringStatistic

Constructor.

StringStatistic(String) - Constructor for class de.lmu.ifi.dbs.elki.logging.statistics.StringStatistic

Constructor.

stringToColor(String) - Static method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGUtil

Convert a color name from SVG syntax to an AWT color object.

stringToDBID(String) - Method in class de.lmu.ifi.dbs.elki.application.jsmap.JSONWebServer

Parse a string into a DBID.

strip - Variable in class de.lmu.ifi.dbs.elki.application.internal.CheckELKIServices

Pattern to strip comments, while keeping commented class names.

strongEigenPairs - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.FilteredEigenPairs

The strong eigenpairs.

strongEigenvalues - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PCAFilteredResult

The strong eigenvalues.

strongEigenvectors - Variable in class de.lmu.ifi.dbs.elki.data.model.CorrelationAnalysisSolution

The strong eigenvectors of the hyperplane induced by the correlation.

strongEigenvectors - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PCAFilteredResult

The strong eigenvectors to their corresponding filtered eigenvalues.

strongNeighbors(NumberVector, NumberVector, PCAFilteredResult, PCAFilteredResult) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.ERiCNeighborPredicate.Instance

Computes the distance between two given DatabaseObjects according to this distance function.

strPartition(List<T>, int, int, int, int, int, SpatialSingleMeanComparator, List<List<T>>) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.bulk.AdaptiveSortTileRecursiveBulkSplit

Recursively partition.

strPartition(List<T>, int, int, int, int, int, SpatialSingleMeanComparator, List<List<T>>) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.bulk.MaxExtensionSortTileRecursiveBulkSplit

Recursively partition.

strPartition(List<T>, int, int, int, int, int, SpatialSingleMeanComparator, List<List<T>>) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.bulk.SortTileRecursiveBulkSplit

Recursively partition.

StudentsTDistribution - Class in de.lmu.ifi.dbs.elki.math.statistics.distribution

Student's t distribution.

StudentsTDistribution(int) - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.StudentsTDistribution

Constructor.

StudentsTDistribution(int, Random) - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.StudentsTDistribution

Constructor.

StudentsTDistribution(int, RandomFactory) - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.StudentsTDistribution

Constructor.

StudentsTDistribution.Parameterizer - Class in de.lmu.ifi.dbs.elki.math.statistics.distribution

Parameterization class

StudentsTDistribution.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.StudentsTDistribution.Parameterizer

style - Variable in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPlot

Primary style information

STYLE - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.pairsegments.CircleSegmentsVisualizer.Instance

Style prefix

style - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.DendrogramVisualization.Parameterizer

Drawing style.

style - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.DendrogramVisualization

Drawing style.

STYLE_BORDER - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.pairsegments.CircleSegmentsVisualizer.Instance

Style for border lines

STYLE_CURVES_ID - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.histogram.ColoredHistogramVisualizer.Parameterizer

Flag to specify the "curves" rendering style.

STYLE_GRADIENT_FIRST - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.pairsegments.CircleSegmentsVisualizer.Instance

First color for producing segment-cluster colors

STYLE_GRADIENT_SECOND - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.pairsegments.CircleSegmentsVisualizer.Instance

Second color for producing segment-cluster colors

STYLE_HOVER - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.pairsegments.CircleSegmentsVisualizer.Instance

Style for hover effect

STYLE_ID - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.DendrogramVisualization.Parameterizer

Dendrogram drawing style.

stylelib - Variable in class de.lmu.ifi.dbs.elki.visualization.VisualizerParameterizer.Parameterizer

Style library

stylelib - Variable in class de.lmu.ifi.dbs.elki.visualization.VisualizerParameterizer

Style library to use.

STYLELIB_ID - Static variable in class de.lmu.ifi.dbs.elki.visualization.VisualizerParameterizer.Parameterizer

Parameter to get the style properties file.

StyleLibrary - Interface in de.lmu.ifi.dbs.elki.visualization.style

Style library interface.

stylelibrary - Variable in class de.lmu.ifi.dbs.elki.visualization.VisualizerContext

Style library

stylepolicy - Variable in class de.lmu.ifi.dbs.elki.visualization.VisualizerContext

Styling policy

StylingPolicy - Interface in de.lmu.ifi.dbs.elki.visualization.style

Styling policy.

sub - Variable in class de.lmu.ifi.dbs.elki.visualization.gui.overview.PlotItem.ItmItr

SUBCLU<V extends NumberVector> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.subspace

Implementation of the SUBCLU algorithm, an algorithm to detect arbitrarily shaped and positioned clusters in subspaces.

SUBCLU(DimensionSelectingSubspaceDistanceFunction<V>, double, int) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.SUBCLU

Constructor.

SUBCLU.Parameterizer<V extends NumberVector> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.subspace

Parameterization class.

SUBCLU.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.SUBCLU.Parameterizer

subitems - Variable in class de.lmu.ifi.dbs.elki.visualization.gui.overview.PlotItem

Subitems to plot

subiter - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.HashMapHierarchy.ItrAnc

Iterator of current child

subiter - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.HashMapHierarchy.ItrDesc

Iterator of current child

subList(KNNList, int) - Static method in class de.lmu.ifi.dbs.elki.database.ids.DBIDUtil

Get a subset of the KNN result.

submit(Callable<T>) - Method in class de.lmu.ifi.dbs.elki.parallel.ParallelCore

Submit a task to the executor core.

SubsetArrayAdapter<T,A> - Class in de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike

Subset array adapter (allows reordering and projection).

SubsetArrayAdapter(ArrayAdapter<T, ? super A>, int[]) - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike.SubsetArrayAdapter

Constructor.

subsetNeighborhoodQuery(DoubleDBIDList, DBIDRef, PrimitiveDistanceFunction<? super V>, double, OUTRES<V>.KernelDensityEstimator) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.subspace.OUTRES

Refine neighbors within a subset.

SubsetNumberArrayAdapter<T extends Number,A> - Class in de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike

Subset array adapter (allows reordering and projection)

SubsetNumberArrayAdapter(NumberArrayAdapter<T, ? super A>, int[]) - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike.SubsetNumberArrayAdapter

Constructor.

subspace - Variable in class de.lmu.ifi.dbs.elki.data.model.SubspaceModel

The subspace of the cluster.

Subspace - Class in de.lmu.ifi.dbs.elki.data

Represents a subspace of the original data space.

Subspace(int) - Constructor for class de.lmu.ifi.dbs.elki.data.Subspace

Creates a new one-dimensional subspace of the original data space.

Subspace(long[]) - Constructor for class de.lmu.ifi.dbs.elki.data.Subspace

Creates a new k-dimensional subspace of the original data space.

subspace - Variable in class de.lmu.ifi.dbs.elki.index.vafile.PartialVAFile.PartialVAFileKNNQuery

Subspace.

subspace - Variable in class de.lmu.ifi.dbs.elki.index.vafile.PartialVAFile.PartialVAFileRangeQuery

Subspace.

Subspace.DimensionComparator - Class in de.lmu.ifi.dbs.elki.data

A comparator for subspaces based on their involved dimensions.

Subspace.DimensionComparator() - Constructor for class de.lmu.ifi.dbs.elki.data.Subspace.DimensionComparator

SubspaceClusteringAlgorithm<M extends SubspaceModel> - Interface in de.lmu.ifi.dbs.elki.algorithm.clustering.subspace

Interface for subspace clustering algorithms that use a model derived from SubspaceModel, that can then be post-processed for outlier detection.

subspaceDensity(long[], DoubleDBIDList) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.subspace.OUTRES.KernelDensityEstimator

Compute density in the given subspace.

subspacedim() - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.LinearEquationSystem

Return dimensionality of spanned subspace.

subspaceDimensionality(NumberVector, NumberVector, long[], long[], long[]) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.DiSH

Compute the common subspace dimensionality of two vectors.

SubspaceEuclideanDistanceFunction - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.subspace

Euclidean distance function between NumberVectors only in specified dimensions.

SubspaceEuclideanDistanceFunction(long[]) - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.SubspaceEuclideanDistanceFunction

Constructor.

SubspaceEuclideanDistanceFunction.Parameterizer - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.subspace

Parameterization class.

SubspaceEuclideanDistanceFunction.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.SubspaceEuclideanDistanceFunction.Parameterizer

SubspaceLPNormDistanceFunction - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.subspace

LP-Norm distance function between NumberVectors only in specified dimensions.

SubspaceLPNormDistanceFunction(double, long[]) - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.SubspaceLPNormDistanceFunction

Constructor.

SubspaceLPNormDistanceFunction.Parameterizer - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.subspace

Parameterization class.

SubspaceLPNormDistanceFunction.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.SubspaceLPNormDistanceFunction.Parameterizer

SubspaceManhattanDistanceFunction - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.subspace

Manhattan distance function between NumberVectors only in specified dimensions.

SubspaceManhattanDistanceFunction(long[]) - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.SubspaceManhattanDistanceFunction

Constructor.

SubspaceManhattanDistanceFunction.Parameterizer - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.subspace

Parameterization class.

SubspaceManhattanDistanceFunction.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.SubspaceManhattanDistanceFunction.Parameterizer

SubspaceMaximumDistanceFunction - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.subspace

Maximum distance function between NumberVectors only in specified dimensions.

SubspaceMaximumDistanceFunction(long[]) - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.SubspaceMaximumDistanceFunction

Constructor.

SubspaceMaximumDistanceFunction.Parameterizer - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.subspace

Parameterization class.

SubspaceMaximumDistanceFunction.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.SubspaceMaximumDistanceFunction.Parameterizer

SubspaceModel - Class in de.lmu.ifi.dbs.elki.data.model

Model for Subspace Clusters.

SubspaceModel(Subspace, Vector) - Constructor for class de.lmu.ifi.dbs.elki.data.model.SubspaceModel

Creates a new SubspaceModel for the specified subspace with the given cluster mean.

subspaceOutlierDegree(V, Vector, long[]) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.subspace.SOD

Compute SOD score.

sum_nn - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.distance.HilOut.HilFeature

Current weight (sum of nn distances)

sumFirstIntegers(long) - Static method in class de.lmu.ifi.dbs.elki.math.MathUtil

Compute the sum of the i first integers.

sumMatrix(int[][]) - Method in class de.lmu.ifi.dbs.elki.math.dimensionsimilarity.HSMDimensionSimilarity

Compute the sum of a matrix.

sumMatrix(int[][]) - Method in class de.lmu.ifi.dbs.elki.math.statistics.dependence.HSMDependenceMeasure

Compute the sum of a matrix.

sums - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise.AttributeWiseMeanNormalization

Temporary storage used during initialization.

sumWe - Variable in class de.lmu.ifi.dbs.elki.math.PearsonCorrelation

Weight sum.

sumXX - Variable in class de.lmu.ifi.dbs.elki.math.PearsonCorrelation

Aggregation for squared residuals - we are not using sum-of-squares!

sumXY - Variable in class de.lmu.ifi.dbs.elki.math.PearsonCorrelation

Aggregation for squared residuals - we are not using sum-of-squares!

sumYY - Variable in class de.lmu.ifi.dbs.elki.math.PearsonCorrelation

Aggregation for squared residuals - we are not using sum-of-squares!

support - Variable in class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.Itemset

Support for this itemset.

SURFINGDependenceMeasure - Class in de.lmu.ifi.dbs.elki.math.statistics.dependence

Compute the similarity of dimensions using the SURFING score.

SURFINGDependenceMeasure() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.dependence.SURFINGDependenceMeasure

Constructor.

SURFINGDependenceMeasure.Parameterizer - Class in de.lmu.ifi.dbs.elki.math.statistics.dependence

Parameterization class.

SURFINGDependenceMeasure.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.dependence.SURFINGDependenceMeasure.Parameterizer

SURFINGDimensionSimilarity - Class in de.lmu.ifi.dbs.elki.math.dimensionsimilarity

Compute the similarity of dimensions using the SURFING score.

SURFINGDimensionSimilarity() - Constructor for class de.lmu.ifi.dbs.elki.math.dimensionsimilarity.SURFINGDimensionSimilarity

Constructor.

SURFINGDimensionSimilarity.Parameterizer - Class in de.lmu.ifi.dbs.elki.math.dimensionsimilarity

Parameterization class.

SURFINGDimensionSimilarity.Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.dimensionsimilarity.SURFINGDimensionSimilarity.Parameterizer

SVG_CHECKMARK_PATH - Static variable in class de.lmu.ifi.dbs.elki.visualization.svg.SVGEffects

Checkmark path, sized approx. 15x15

SVG_COLOR_NAMES - Static variable in class de.lmu.ifi.dbs.elki.visualization.svg.SVGUtil

SVG color names conversion.

SVGArrow - Class in de.lmu.ifi.dbs.elki.visualization.svg

Static class for drawing simple arrows

SVGArrow() - Constructor for class de.lmu.ifi.dbs.elki.visualization.svg.SVGArrow

SVGArrow.Direction - Enum in de.lmu.ifi.dbs.elki.visualization.svg

Direction constants

SVGArrow.Direction() - Constructor for enum de.lmu.ifi.dbs.elki.visualization.svg.SVGArrow.Direction

SVGButton - Class in de.lmu.ifi.dbs.elki.visualization.svg

Class to draw a button as SVG.

SVGButton(double, double, double, double, double) - Constructor for class de.lmu.ifi.dbs.elki.visualization.svg.SVGButton

Constructor.

svgCanvas - Variable in class de.lmu.ifi.dbs.elki.visualization.gui.ResultWindow

The SVG canvas.

svgCanvas - Variable in class de.lmu.ifi.dbs.elki.visualization.gui.SimpleSVGViewer

The main canvas.

SVGCheckbox - Class in de.lmu.ifi.dbs.elki.visualization.svg

SVG checkbox.

SVGCheckbox(boolean) - Constructor for class de.lmu.ifi.dbs.elki.visualization.svg.SVGCheckbox

Constructor, without label

SVGCheckbox(boolean, String) - Constructor for class de.lmu.ifi.dbs.elki.visualization.svg.SVGCheckbox

Constructor, with label

svgCircle(double, double, double) - Method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPlot

Create a SVG circle

svgCircle(Document, double, double, double) - Static method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGUtil

Create a SVG circle element.

svgCircleSegment(SVGPlot, double, double, double, double, double, double) - Static method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGUtil

Create a circle segment.

SVGCloneVisible - Class in de.lmu.ifi.dbs.elki.visualization.svg

Clone visible parts of an SVG document.

SVGCloneVisible() - Constructor for class de.lmu.ifi.dbs.elki.visualization.svg.SVGCloneVisible

SVGEffects - Class in de.lmu.ifi.dbs.elki.visualization.svg

Class containing some popular SVG effects.

SVGEffects() - Constructor for class de.lmu.ifi.dbs.elki.visualization.svg.SVGEffects

svgElement(String) - Method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPlot

Create a SVG element in the SVG namespace.

svgElement(Document, String) - Static method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGUtil

Create a SVG element in appropriate namespace

SVGHyperCube - Class in de.lmu.ifi.dbs.elki.visualization.svg

Utility class to draw hypercubes, wireframe and filled.

SVGHyperCube() - Constructor for class de.lmu.ifi.dbs.elki.visualization.svg.SVGHyperCube

SVGHyperSphere - Class in de.lmu.ifi.dbs.elki.visualization.svg

Utility class to draw hypercubes, wireframe and filled.

SVGHyperSphere() - Constructor for class de.lmu.ifi.dbs.elki.visualization.svg.SVGHyperSphere

svgLine(double, double, double, double) - Method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPlot

Create a SVG line element

svgLine(Document, double, double, double, double) - Static method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGUtil

Create a SVG line element.

svgp - Variable in class de.lmu.ifi.dbs.elki.visualization.batikutil.DragableArea

The plot we are attached to.

svgp - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.AbstractVisualization

The plot we are attached to

SVGPath - Class in de.lmu.ifi.dbs.elki.visualization.svg

Element used for building an SVG path using a string buffer.

SVGPath() - Constructor for class de.lmu.ifi.dbs.elki.visualization.svg.SVGPath

Empty path constructor.

SVGPath(double, double) - Constructor for class de.lmu.ifi.dbs.elki.visualization.svg.SVGPath

Constructor with initial point.

SVGPath(double[]) - Constructor for class de.lmu.ifi.dbs.elki.visualization.svg.SVGPath

Constructor with initial point.

SVGPath(Polygon) - Constructor for class de.lmu.ifi.dbs.elki.visualization.svg.SVGPath

Constructor from a vector collection (e.g. a polygon)

SVGPlot - Class in de.lmu.ifi.dbs.elki.visualization.svg

Base class for SVG plots.

SVGPlot() - Constructor for class de.lmu.ifi.dbs.elki.visualization.svg.SVGPlot

Create a new plotting document.

SVGPlot.CloneNoExport - Class in de.lmu.ifi.dbs.elki.visualization.svg

Class to skip nodes during cloning that have the "noexport" attribute set.

SVGPlot.CloneNoExport() - Constructor for class de.lmu.ifi.dbs.elki.visualization.svg.SVGPlot.CloneNoExport

svgRect(double, double, double, double) - Method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPlot

Create a SVG rectangle

svgRect(Document, double, double, double, double) - Static method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGUtil

Create a SVG rectangle element.

SVGSaveDialog - Class in de.lmu.ifi.dbs.elki.visualization.savedialog

A save dialog to save/export a SVG image to a file.

SVGSaveDialog() - Constructor for class de.lmu.ifi.dbs.elki.visualization.savedialog.SVGSaveDialog

SVGScoreBar - Class in de.lmu.ifi.dbs.elki.visualization.svg

Draw a score bar.

SVGScoreBar() - Constructor for class de.lmu.ifi.dbs.elki.visualization.svg.SVGScoreBar

Constructor.

SVGSimpleLinearAxis - Class in de.lmu.ifi.dbs.elki.visualization.svg

Class to draw a simple axis with tick marks on the plot.

SVGSimpleLinearAxis() - Constructor for class de.lmu.ifi.dbs.elki.visualization.svg.SVGSimpleLinearAxis

SVGSimpleLinearAxis.Alignment - Enum in de.lmu.ifi.dbs.elki.visualization.svg

Flag for axis label position.

SVGSimpleLinearAxis.Alignment() - Constructor for enum de.lmu.ifi.dbs.elki.visualization.svg.SVGSimpleLinearAxis.Alignment

SVGSimpleLinearAxis.LabelStyle - Enum in de.lmu.ifi.dbs.elki.visualization.svg

Labeling style: left-handed, right-handed, no ticks, labels at ends

SVGSimpleLinearAxis.LabelStyle() - Constructor for enum de.lmu.ifi.dbs.elki.visualization.svg.SVGSimpleLinearAxis.LabelStyle

svgText(double, double, String) - Method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPlot

Create a SVG text element.

svgText(Document, double, double, String) - Static method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGUtil

Create a SVG text element.

SVGUtil - Class in de.lmu.ifi.dbs.elki.visualization.svg

Utility class for SVG processing.

SVGUtil() - Constructor for class de.lmu.ifi.dbs.elki.visualization.svg.SVGUtil

svgWaitIcon(Document, double, double, double, double) - Static method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGUtil

Draw a simple "please wait" icon (in-progress) as placeholder for running renderings.

swap(int, int) - Method in interface de.lmu.ifi.dbs.elki.database.ids.ArrayModifiableDBIDs

Swap DBIDs add positions a and b.

swap(int, int) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.ArrayModifiableIntegerDBIDs

swap(int, int) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDList

swap(int, int) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDPairList

swap(int, int) - Method in interface de.lmu.ifi.dbs.elki.database.ids.ModifiableDoubleDBIDList

Swap to entries in the list.

swap(double[], int[], int, int) - Static method in class de.lmu.ifi.dbs.elki.utilities.datastructures.arrays.DoubleIntegerArrayQuickSort

Swap two entries.

swap(T, int, int) - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.QuickSelect.Adapter

Swap the two elements at positions i and j.

swap(double[], int, int) - Static method in class de.lmu.ifi.dbs.elki.utilities.datastructures.QuickSelect

The usual swap method.

swap(T[], int, int) - Static method in class de.lmu.ifi.dbs.elki.utilities.datastructures.QuickSelect

The usual swap method.

swap(List<T>, int, int) - Static method in class de.lmu.ifi.dbs.elki.utilities.datastructures.QuickSelect

The usual swap method.

swapAxes(int, int) - Method in interface de.lmu.ifi.dbs.elki.visualization.projections.ProjectionParallel

Exchange axes A and B

swapAxes(int, int) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.SimpleParallel

SWAPPED_COMPARATOR - Static variable in class de.lmu.ifi.dbs.elki.utilities.pairs.DoubleDoublePair

Comparator to compare by swapped components

SWAPPED_COMPARATOR - Static variable in class de.lmu.ifi.dbs.elki.utilities.pairs.DoubleIntPair

Comparator to compare by swapped components

SWAPPED_COMPARATOR - Static variable in class de.lmu.ifi.dbs.elki.utilities.pairs.IntDoublePair

Comparator to compare by swapped components

SWAPPED_COMPARATOR - Static variable in class de.lmu.ifi.dbs.elki.utilities.pairs.IntIntPair

Comparator to compare by swapped components

SweepHullDelaunay2D - Class in de.lmu.ifi.dbs.elki.math.geometry

Compute the Convex Hull and/or Delaunay Triangulation, using the sweep-hull approach of David Sinclair.

SweepHullDelaunay2D() - Constructor for class de.lmu.ifi.dbs.elki.math.geometry.SweepHullDelaunay2D

Constructor.

SweepHullDelaunay2D(List<Vector>) - Constructor for class de.lmu.ifi.dbs.elki.math.geometry.SweepHullDelaunay2D

Constructor.

SweepHullDelaunay2D.Orientation - Enum in de.lmu.ifi.dbs.elki.math.geometry

The possible orientations two triangles can have to each other.

SweepHullDelaunay2D.Orientation() - Constructor for enum de.lmu.ifi.dbs.elki.math.geometry.SweepHullDelaunay2D.Orientation

SweepHullDelaunay2D.Triangle - Class in de.lmu.ifi.dbs.elki.math.geometry

Class representing a triangle, by referencing points in a list.

SweepHullDelaunay2D.Triangle(int, int, int) - Constructor for class de.lmu.ifi.dbs.elki.math.geometry.SweepHullDelaunay2D.Triangle

Constructor.

SWITCH - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.BetaDistribution

Limit of when to switch to quadrature method

symmetric - Variable in class de.lmu.ifi.dbs.elki.data.uncertain.uncertainifier.SimpleGaussianUncertainifier.Parameterizer

Generate symmetric distributions only.

symmetric - Variable in class de.lmu.ifi.dbs.elki.data.uncertain.uncertainifier.SimpleGaussianUncertainifier

Generate symmetric distributions only.

symmetric - Variable in class de.lmu.ifi.dbs.elki.data.uncertain.uncertainifier.UniformUncertainifier.Parameterizer

Generate symmetric distributions only.

symmetric - Variable in class de.lmu.ifi.dbs.elki.data.uncertain.uncertainifier.UniformUncertainifier

Generate symmetric distributions only.

SYMMETRIC_ID - Static variable in interface de.lmu.ifi.dbs.elki.data.uncertain.uncertainifier.Uncertainifier

Shared parameter: to force centering the uncertain region on the exact vector.

symmetricIntersection(DBIDs, DBIDs, HashSetModifiableDBIDs, HashSetModifiableDBIDs, HashSetModifiableDBIDs) - Static method in class de.lmu.ifi.dbs.elki.database.ids.DBIDUtil

Compute the set symmetric intersection of two sets.

sync - Variable in class de.lmu.ifi.dbs.elki.visualization.svg.UpdateRunner

Owner/Synchronization object

synchronizedRedraw() - Method in class de.lmu.ifi.dbs.elki.visualization.gui.VisualizationPlot

Trigger a redraw, but avoid excessive redraws.

synchronizer - Variable in class de.lmu.ifi.dbs.elki.visualization.batikutil.JSVGSynchronizedCanvas

Synchronizer to use when synchronizing SVG plots

synchronizer - Variable in class de.lmu.ifi.dbs.elki.visualization.svg.UpdateRunner

Synchronizer that can block events from being executed right away.

synchronizeWith(UpdateSynchronizer) - Method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPlot

Assign an update synchronizer.

synchronizeWith(UpdateSynchronizer) - Method in class de.lmu.ifi.dbs.elki.visualization.svg.UpdateRunner

Set a new update synchronizer.

SYSTEM_SEARCH - Static variable in class de.lmu.ifi.dbs.elki.gui.icons.StockIcon

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