S-Index (ELKI: Environment for DeveLoping KDD-Applications Supported by Index-Structures)

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.
SameSizeKMeansAlgorithm<V extends NumberVector> - Class in tutorial.clustering: K-means variation that produces equally sized clusters.
SameSizeKMeansAlgorithm(NumberVectorDistanceFunction<? super V>, int, int, KMeansInitialization<? super V>) - Constructor for class tutorial.clustering.SameSizeKMeansAlgorithm: Constructor.
SameSizeKMeansAlgorithm.Meta - Class in tutorial.clustering: Object metadata.
SameSizeKMeansAlgorithm.Parameterizer<V extends NumberVector> - Class in tutorial.clustering: Parameterization class.
SameSizeKMeansAlgorithm.PreferenceComparator - Class in tutorial.clustering: Sort a list of integers (= cluster numbers) by the distances.
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.
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.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_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.DistanceStatisticsWithClasses: 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.visualization.VisualizerParameterizer: 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
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() - Constructor for enum de.lmu.ifi.dbs.elki.datasource.filter.transform.PerturbationFilter.ScalingReference
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.
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.
scheduleDetach(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
ScoreResult(ClusterContingencyTable) - Constructor for class de.lmu.ifi.dbs.elki.evaluation.clustering.EvaluateClustering.ScoreResult: Constructor.
ScoreResult(Collection<Vector>) - Constructor for class de.lmu.ifi.dbs.elki.evaluation.outlier.JudgeOutlierScores.ScoreResult: Constructor.
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.DescendingByDoubleDataStore: 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
ScoreType() - Constructor for enum de.lmu.ifi.dbs.elki.algorithm.outlier.distance.HilOut.ScoreType
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.
secondary - Variable in class tutorial.clustering.SameSizeKMeansAlgorithm.Meta: Indexes: primary assignment (current or best), secondary assignment (second best or worst).
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.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.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.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
SegmentListenerProxy(Segment, int) - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.pairsegments.CircleSegmentsVisualizer.Instance.SegmentListenerProxy: Constructor.
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.
select(SameSizeKMeansAlgorithm<V>.Meta) - Method in class tutorial.clustering.SameSizeKMeansAlgorithm.PreferenceComparator: Set the meta to sort by
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
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
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.Parameterizer - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection: Parameterization class.
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
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
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
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
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.
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.Mode - Enum in de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection: Input modes
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.Mode - Enum in de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.selection: Input modes
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.
SelectPlotEvent(PlotItem) - Constructor for class de.lmu.ifi.dbs.elki.visualization.gui.overview.OverviewPlot.SelectPlotEvent: Constructor.
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.
Separation() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.LMCLUS.Separation
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() - 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() - Constructor for class de.lmu.ifi.dbs.elki.data.LabelList.Serializer
SERIALIZER - Static variable in class de.lmu.ifi.dbs.elki.data.SimpleClassLabel: Serializer.
Serializer() - Constructor for 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 - 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
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.
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
SetStyleAction(Clustering<?>, VisualizerContext) - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.actions.ClusterStyleAction.SetStyleAction: Constructor.
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() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.COPAC.Settings
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() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.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() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.FourC.Settings
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() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.PreDeCon.Settings
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
SettingsComboboxModel(SavedSettingsFile) - Constructor for class de.lmu.ifi.dbs.elki.gui.minigui.MiniGUI.SettingsComboboxModel: Constructor.
SettingsComboboxModel(SavedSettingsFile) - Constructor for class de.lmu.ifi.dbs.elki.gui.multistep.panels.SavedSettingsTabPanel.SettingsComboboxModel: Constructor
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.
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.
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) - 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
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.
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.
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.Parameterizer<O> - Class in de.lmu.ifi.dbs.elki.distance.distancefunction: Parameterization class.
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.Parameterizer<O> - Class in de.lmu.ifi.dbs.elki.index.preprocessed.snn: Parameterization class.
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.Parameterizer<O> - Class in de.lmu.ifi.dbs.elki.distance.similarityfunction: Parameterization class.
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.
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.
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
ShortSerializer() - Constructor for class de.lmu.ifi.dbs.elki.data.BitVector.ShortSerializer
ShortSerializer() - Constructor for class de.lmu.ifi.dbs.elki.data.ByteVector.ShortSerializer
ShortSerializer() - Constructor for class de.lmu.ifi.dbs.elki.data.DoubleVector.ShortSerializer
ShortSerializer() - Constructor for class de.lmu.ifi.dbs.elki.data.FloatVector.ShortSerializer
ShortSerializer() - Constructor for class de.lmu.ifi.dbs.elki.data.IntegerVector.ShortSerializer
ShortSerializer() - Constructor for class de.lmu.ifi.dbs.elki.data.ShortVector.ShortSerializer
ShortSerializer() - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.Vector.ShortSerializer
ShortSerializer() - Constructor for class de.lmu.ifi.dbs.elki.utilities.io.ByteArrayUtil.ShortSerializer: Constructor.
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.
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.Parameterizer - Class in de.lmu.ifi.dbs.elki.data: Parameterization class.
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.VariableSerializer - Class in de.lmu.ifi.dbs.elki.data: Serialization class for variable dimensionality by using VarInt encoding.
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.
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.
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
Signature(int[], DBIDs) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.P3C.Signature: Constructor.
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.
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.
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.
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(RenderedImage, Relation<?>, ArrayDBIDs) - Constructor for class de.lmu.ifi.dbs.elki.evaluation.similaritymatrix.ComputeSimilarityMatrixImage.SimilarityMatrix: Constructor
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
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.Serializer - Class in de.lmu.ifi.dbs.elki.data: Serialization class.
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.
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.
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.
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.
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.
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.
SimpleScoreDumper - Class in tutorial.outlier: Simple example output handler for processing outlier scores.
SimpleScoreDumper() - Constructor for class tutorial.outlier.SimpleScoreDumper
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.
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.
SimpleTypeSerializer() - Constructor for class de.lmu.ifi.dbs.elki.data.type.TypeInformationSerializer.SimpleTypeSerializer
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.CoverTreeRangeQuery - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.covertree: Range query class.
SimplifiedCoverTree.Factory<O> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.covertree: Index factory.
SimplifiedCoverTree.Factory.Parameterizer<O> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.covertree: Parameterization class.
SimplifiedCoverTree.Node - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.covertree: Node object.
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.TempCluster - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.extraction: Temporary cluster.
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.
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
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.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.QuarterTable - Class in de.lmu.ifi.dbs.elki.math: Table that exploits both symmetries, as the number of steps is divisible by four.
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.ResultVisualizer.Parameterizer: Single view mode.
single - Variable in class de.lmu.ifi.dbs.elki.visualization.gui.ResultVisualizer: 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.visualization.gui.ResultVisualizer.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.
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.
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.
SingleThreadedRunner(DBIDs, Processor[]) - Constructor for class de.lmu.ifi.dbs.elki.parallel.SingleThreadedExecutor.SingleThreadedRunner: Constructor.
singletons - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.extraction.ExtractFlatClusteringFromHierarchy.Parameterizer: Also create singleton clusters.
singletons - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.extraction.ExtractFlatClusteringFromHierarchy: Disallow singleton clusters, but add them to the parent cluster instead.
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.
SINGLETONS_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.extraction.ExtractFlatClusteringFromHierarchy.Parameterizer: Flag to produce singleton clusters.
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.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(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 - 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.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() - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.VectorListParameter
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: 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.RandomProjectedNeighborssAndDensities: 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
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.
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) - Constructor for class de.lmu.ifi.dbs.elki.database.ids.integer.ArrayModifiableIntegerDBIDs.Slice: Constructor.
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) - Constructor for class de.lmu.ifi.dbs.elki.database.ids.integer.ArrayStaticIntegerDBIDs.Slice: Constructor.
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.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
SliceItr() - Constructor for class de.lmu.ifi.dbs.elki.database.ids.integer.ArrayModifiableIntegerDBIDs.Slice.SliceItr
SliceItr() - Constructor for class de.lmu.ifi.dbs.elki.database.ids.integer.ArrayStaticIntegerDBIDs.Slice.SliceItr
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.
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
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.
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.
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.
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.
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.
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.Parameterizer<O extends NumberVector> - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.kd: Parameterization class.
SmallMemoryKDTree.KDTreeKNNQuery - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.kd: kNN query for the k-d-tree.
SmallMemoryKDTree.KDTreeRangeQuery - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.kd: kNN query for the k-d-tree.
SmallSerializer() - Constructor for class de.lmu.ifi.dbs.elki.data.ByteVector.SmallSerializer
SmallSerializer() - Constructor for class de.lmu.ifi.dbs.elki.data.DoubleVector.SmallSerializer
SmallSerializer() - Constructor for class de.lmu.ifi.dbs.elki.data.FloatVector.SmallSerializer
SmallSerializer() - Constructor for class de.lmu.ifi.dbs.elki.data.IntegerVector.SmallSerializer
SmallSerializer() - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.Vector.SmallSerializer
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.
SmROCResult(int) - Constructor for class de.lmu.ifi.dbs.elki.evaluation.outlier.OutlierSmROCCurve.SmROCResult: Constructor.
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.
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.SODModel - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.subspace: SOD Model class
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
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(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.
SortByOption() - Constructor for class de.lmu.ifi.dbs.elki.application.internal.DocumentParameters.SortByOption
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.
SortDBIDsBySingleDimension(Relation<? extends NumberVector>, int) - Constructor for class de.lmu.ifi.dbs.elki.data.VectorUtil.SortDBIDsBySingleDimension: Constructor.
SortDBIDsBySingleDimension(Relation<? extends NumberVector>) - Constructor for class de.lmu.ifi.dbs.elki.data.VectorUtil.SortDBIDsBySingleDimension: Constructor.
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.
SortedArrayMap(DBIDs) - Constructor for class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.KernelMatrix.SortedArrayMap
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() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.HiCO.Instance.Sorter
Sorter() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.DiSH.Instance.Sorter
Sorter() - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise.IntegerRankTieNormalization.Sorter
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.
SortVectorsBySingleDimension(int) - Constructor for class de.lmu.ifi.dbs.elki.data.VectorUtil.SortVectorsBySingleDimension: Constructor.
SortVectorsBySingleDimension() - Constructor for class de.lmu.ifi.dbs.elki.data.VectorUtil.SortVectorsBySingleDimension: Constructor.
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.Parameterizer - Class in de.lmu.ifi.dbs.elki.index.preprocessed.knn: Parameterization class.
SpacefillingKNNPreprocessor.SpaceFillingKNNQuery - Class in de.lmu.ifi.dbs.elki.index.preprocessed.knn: KNN Query processor for space filling curves
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.Parameterizer<V extends NumberVector> - Class in de.lmu.ifi.dbs.elki.index.preprocessed.knn: Parameterization class.
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.Parameterizer - Class in de.lmu.ifi.dbs.elki.data: Parameterization class.
SparseByteVector.VariableSerializer - Class in de.lmu.ifi.dbs.elki.data: Serialization class using VarInt encodings.
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.Parameterizer - Class in de.lmu.ifi.dbs.elki.data: Parameterization class.
SparseDoubleVector.VariableSerializer - Class in de.lmu.ifi.dbs.elki.data: Serialization class using VarInt encodings.
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
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.Parameterizer - Class in de.lmu.ifi.dbs.elki.data: Parameterization class.
SparseFloatVector.VariableSerializer - Class in de.lmu.ifi.dbs.elki.data: Serialization class using VarInt encodings.
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.Parameterizer - Class in de.lmu.ifi.dbs.elki.data: Parameterization class.
SparseIntegerVector.VariableSerializer - Class in de.lmu.ifi.dbs.elki.data: Serialization class using VarInt encodings.
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
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
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
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.
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.Parameterizer - Class in de.lmu.ifi.dbs.elki.data: Parameterization class.
SparseShortVector.VariableSerializer - Class in de.lmu.ifi.dbs.elki.data: Serialization class using VarInt encodings.
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.Parameterizer<N extends SpatialNode<N,E>,E extends SpatialEntry> - Class in de.lmu.ifi.dbs.elki.index.preprocessed.knn: Parameterization class.
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.
SpatialObjectPair(double, SpatialEntry, SpatialEntry, boolean) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.optics.DeLiClu.SpatialObjectPair: Creates a new entry with the specified parameters.
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
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
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.
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
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.
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.
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(A, ArrayAdapter<E, A>) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.split.TopologicalSplitter.Split: Constructor.
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) - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.fastoptics.RandomProjectedNeighborssAndDensities: 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.
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.
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) - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.fastoptics.RandomProjectedNeighborssAndDensities: 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.RandomProjectedNeighborssAndDensities: 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) - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.fastoptics.RandomProjectedNeighborssAndDensities: 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.
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.
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.
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.
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.
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.
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.
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() - Constructor for enum de.lmu.ifi.dbs.elki.application.internal.CheckParameterizables.State
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.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.
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.
StaticSerializer() - Constructor for class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBID.StaticSerializer: Constructor.
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() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.AbstractMTree.Statistics: Constructor.
statistics - Variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.AbstractRStarTree: For counting the number of distance computations.
Statistics() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.AbstractRStarTree.Statistics: Constructor.
Statistics(String) - Constructor for class de.lmu.ifi.dbs.elki.index.vafile.PartialVAFile.Statistics
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
Status() - Constructor for enum de.lmu.ifi.dbs.elki.gui.multistep.panels.ParameterTabPanel.Status
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.
SteepArea(int, int, double) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.optics.OPTICSXi.SteepArea: Constructor.
SteepAreaResult(Collection<OPTICSXi.SteepArea>) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.optics.OPTICSXi.SteepAreaResult: Constructor.
steepDown(double) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.optics.OPTICSXi.SteepScanPosition: Test for a steep down area.
SteepDownArea(int, int, double, double) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.optics.OPTICSXi.SteepDownArea: Constructor
SteepScanPosition(ClusterOrder) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.optics.OPTICSXi.SteepScanPosition: Constructor.
steepUp(double) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.optics.OPTICSXi.SteepScanPosition: Test for a steep up point.
SteepUpArea(int, int, double) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.optics.OPTICSXi.SteepUpArea: Constructor
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.
StorageAccessor(int) - Constructor for class de.lmu.ifi.dbs.elki.database.datastore.memory.ArrayRecordStore.StorageAccessor: Constructor.
StorageAccessor(int) - Constructor for class de.lmu.ifi.dbs.elki.database.datastore.memory.MapIntegerDBIDRecordStore.StorageAccessor: Constructor.
StorageAccessor(int) - Constructor for class de.lmu.ifi.dbs.elki.database.datastore.memory.MapRecordStore.StorageAccessor: Constructor.
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() - Constructor for enum de.lmu.ifi.dbs.elki.index.preprocessed.preference.DiSHPreferenceVectorIndex.Strategy
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
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.
StringSerializer() - Constructor for class de.lmu.ifi.dbs.elki.utilities.io.ByteArrayUtil.StringSerializer: Constructor.
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
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_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
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: 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.
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.
SubsetProjection(int[]) - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.randomprojections.RandomSubsetProjectionFamily.SubsetProjection: 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.
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.
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.
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.
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.
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.
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.
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
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.
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.LabelStyle - Enum in de.lmu.ifi.dbs.elki.visualization.svg: Labeling style: left-handed, right-handed, no ticks, labels at ends
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.
SVMKernel() - Constructor for enum de.lmu.ifi.dbs.elki.algorithm.outlier.svm.LibSVMOneClassOutlierDetection.SVMKernel
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.Triangle - Class in de.lmu.ifi.dbs.elki.math.geometry: Class representing a triangle, by referencing points in a list.
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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