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

T

t - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.distance.HilOut

LPNorm p parameter

t - Variable in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDKNNHeap.UnorderedIter

Position in ties.

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

Dimensionality.

t - Variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop.ApproximationLine

The axes intercept.

t - Variable in class de.lmu.ifi.dbs.elki.math.statistics.LinearRegression

t1 - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.CanopyPreClustering.Parameterizer

Threshold for inclusion

t1 - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.CanopyPreClustering

Threshold for inclusion

T1_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.CanopyPreClustering.Parameterizer

Parameter for the inclusion threshold of canopy clustering.

t2 - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.CanopyPreClustering.Parameterizer

Threshold for removal

t2 - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.CanopyPreClustering

Threshold for removal

T2_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.CanopyPreClustering.Parameterizer

Parameter for the removal threshold of canopy clustering.

T_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.distance.HilOut.Parameterizer

Parameter to specify p of LP-NormDistance

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

Target dimensionality.

table - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.dependence.HSMDependenceMeasure

Precompute sinus and cosinus

table - Variable in class de.lmu.ifi.dbs.elki.visualization.gui.SelectionTableWindow

The JTable

TABPOS - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.dependence.HoeffdingsDDependenceMeasure

TABVAL - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.dependence.HoeffdingsDDependenceMeasure

TAG_CLIP - Static variable in class de.lmu.ifi.dbs.elki.datasource.GeneratorXMLDatabaseConnection

Clipping

TAG_CLUSTER - Static variable in class de.lmu.ifi.dbs.elki.datasource.GeneratorXMLDatabaseConnection

Cluster tag

TAG_DATASET - Static variable in class de.lmu.ifi.dbs.elki.datasource.GeneratorXMLDatabaseConnection

Dataset tag

TAG_GAMMA - Static variable in class de.lmu.ifi.dbs.elki.datasource.GeneratorXMLDatabaseConnection

Gamma distribution

TAG_HALTON - Static variable in class de.lmu.ifi.dbs.elki.datasource.GeneratorXMLDatabaseConnection

Halton pseudo uniform distribution.

TAG_NORMAL - Static variable in class de.lmu.ifi.dbs.elki.datasource.GeneratorXMLDatabaseConnection

Normal distribution

TAG_POINT - Static variable in class de.lmu.ifi.dbs.elki.datasource.GeneratorXMLDatabaseConnection

Point in static cluster

TAG_ROTATE - Static variable in class de.lmu.ifi.dbs.elki.datasource.GeneratorXMLDatabaseConnection

Rotation

TAG_SIMPLE - Static variable in class de.lmu.ifi.dbs.elki.data.type.TypeInformationSerializer

Tag for simple type.

TAG_STATIC - Static variable in class de.lmu.ifi.dbs.elki.datasource.GeneratorXMLDatabaseConnection

Static cluster

TAG_TRANSLATE - Static variable in class de.lmu.ifi.dbs.elki.datasource.GeneratorXMLDatabaseConnection

Translation

TAG_UNIFORM - Static variable in class de.lmu.ifi.dbs.elki.datasource.GeneratorXMLDatabaseConnection

Uniform distribution

TAG_VECTOR - Static variable in class de.lmu.ifi.dbs.elki.data.type.TypeInformationSerializer

Tag for non-field vector type.

TAG_VECTOR_FIELD - Static variable in class de.lmu.ifi.dbs.elki.data.type.TypeInformationSerializer

Tag for vector field type.

tailingNonNewline(String, int, int) - Method in class de.lmu.ifi.dbs.elki.gui.util.LogPane

Count the tailing non-newline characters.

tailingNonNewline(char[], int, int) - Method in class de.lmu.ifi.dbs.elki.logging.OutputStreamLogger

Count the tailing non-newline characters.

tailingNonNewline(String, int, int) - Method in class de.lmu.ifi.dbs.elki.logging.OutputStreamLogger

Count the tailing non-newline characters.

TARGET - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.dependence.MCEDependenceMeasure

Desired size: 35 observations.

Task(double, int, int) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.KNNJoin.Task

Constructor.

task - Variable in class de.lmu.ifi.dbs.elki.application.KDDCLIApplication.Parameterizer

The KDD Task to perform.

task - Variable in class de.lmu.ifi.dbs.elki.application.KDDCLIApplication

The KDD Task to perform.

task - Variable in class de.lmu.ifi.dbs.elki.logging.progress.AbstractProgress

The task name.

task - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.AbstractVisualization

The visualization task we do.

task - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster.VoronoiVisualization.SwitchModeAction

Task we represent.

Task(ThumbnailThread.Listener) - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.thumbs.ThumbnailThread.Task

Constructor.

task - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.DendrogramVisualization.SwitchStyleAction

Task we represent.

taskmap - Variable in class de.lmu.ifi.dbs.elki.visualization.gui.detail.DetailView

Map from tasks to visualizations.

tasks - Variable in class de.lmu.ifi.dbs.elki.visualization.gui.overview.PlotItem

The visualization tasks at this location

taskSize() - Method in class de.lmu.ifi.dbs.elki.visualization.gui.overview.PlotItem

Number of tasks in this item.

tau - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.ERiC.Settings

Parameter to specify the threshold for the maximum distance between two approximately linear dependent subspaces of two objects p and q (lambda_q < lambda_p) before considering them as parallel, must be a double equal to or greater than 0.

tau - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.CLIQUE.Parameterizer

Density threshold / selectivity.

tau - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.CLIQUE

Density threshold / selectivity.

TAU_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.ERiC.Parameterizer

Parameter to specify the threshold for the maximum distance between two approximately linear dependent subspaces of two objects p and q (lambda_q < lambda_p) before considering them as parallel, must be a double equal to or greater than 0.

TAU_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.CLIQUE.Parameterizer

Parameter to specify the density threshold for the selectivity of a unit, where the selectivity is the fraction of total feature vectors contained in this unit, must be a double greater than 0 and less than 1.

tdim - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.transform.AbstractSupervisedProjectionVectorFilter.Parameterizer

Target dimensionality.

tdim - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.transform.AbstractSupervisedProjectionVectorFilter

The dimensionality to which the data should be reduced.

tdim - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.transform.ClassicMultidimensionalScalingTransform.Parameterizer

Target dimensionality.

tdim - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.transform.ClassicMultidimensionalScalingTransform

Target dimensionality

tdim - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.transform.FastMultidimensionalScalingTransform.Parameterizer

Target dimensionality.

tdim - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.transform.FastMultidimensionalScalingTransform

Target dimensionality

TempCluster(double, DBIDRef) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.extraction.HDBSCANHierarchyExtraction.TempCluster

Constructor.

TempCluster(double, DBIDRef, DBIDRef) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.extraction.HDBSCANHierarchyExtraction.TempCluster

Constructor.

TempCluster(double, HDBSCANHierarchyExtraction.TempCluster, HDBSCANHierarchyExtraction.TempCluster) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.extraction.HDBSCANHierarchyExtraction.TempCluster

Cluster containing two existing clusters.

TempCluster(double) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.extraction.SimplifiedHierarchyExtraction.TempCluster

Constructor.

temporary - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.GriDBSCAN.Instance

Temporary assignments of a single run.

TermFrequencyParser<V extends SparseNumberVector> - Class in de.lmu.ifi.dbs.elki.datasource.parser

A parser to load term frequency data, which essentially are sparse vectors with text keys.

TermFrequencyParser(boolean, SparseNumberVector.Factory<V>) - Constructor for class de.lmu.ifi.dbs.elki.datasource.parser.TermFrequencyParser

Constructor.

TermFrequencyParser(boolean, CSVReaderFormat, long[], SparseNumberVector.Factory<V>) - Constructor for class de.lmu.ifi.dbs.elki.datasource.parser.TermFrequencyParser

Constructor.

TermFrequencyParser.Parameterizer<V extends SparseNumberVector> - Class in de.lmu.ifi.dbs.elki.datasource.parser

Parameterization class.

test - Variable in class de.lmu.ifi.dbs.elki.evaluation.classification.holdout.TrainingAndTestSet

The test data.

test(DBIDRefIter) - Method in class de.lmu.ifi.dbs.elki.evaluation.scores.adapter.DBIDsTest

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

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

test(T) - Method in interface de.lmu.ifi.dbs.elki.evaluation.scores.ScoreEvaluation.Predicate

Test a result.

test(DistributionEstimator<?>, Distribution) - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.meta.BestFitEstimator.BestFit

Test the goodness of fit, keep the best.

test(Number) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints.GreaterConstraint

Checks if the number value given by the number parameter is greater than the constraint value.

test(Number) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints.GreaterEqualConstraint

Checks if the number value given by the number parameter is greater equal than the constraint value.

test(Number) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints.LessConstraint

Checks if the number value given by the number parameter is less than the constraint value.

test(Number) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints.LessEqualConstraint

Checks if the number value given by the number parameter is less equal than the constraint value.

test(T) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints.ListEachNumberConstraint

test(Object) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints.ListSizeConstraint

Checks if the list parameter fulfills the size constraint.

test(T) - Method in interface de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints.ParameterConstraint

Checks if the value t of the parameter to be tested fulfills the parameter constraint.

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

Parameter that specifies which statistical test to use in order to calculate the deviation of two given data samples.

testAgainstModel - Variable in class de.lmu.ifi.dbs.elki.data.synthetic.bymodel.GeneratorMain

Controls whether points are tested against the model during generation.

testAgainstModel - Variable in class de.lmu.ifi.dbs.elki.datasource.GeneratorXMLDatabaseConnection

Set testAgainstModel flag

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

Test if a point is to be clipped

testClockwise() - Method in class de.lmu.ifi.dbs.elki.data.spatial.Polygon

Test polygon orientation.

testFit(double[], double[], Distribution) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.meta.BestFitEstimator.BestFit

Test the quality of a fit.

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

Logging rate control.

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

Check whether or not CSS classes of two plots can be merged

TestModel() - Constructor for class de.lmu.ifi.dbs.elki.data.synthetic.bymodel.GeneratorMain.TestModel

testResample(double) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.AbstractObjDynamicHistogram

Test (and perform) downsampling when needed.

testResample(double) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.DoubleDynamicHistogram

Test (and perform) downsampling when neede.

texheight - Variable in class de.lmu.ifi.dbs.elki.visualization.parallel3d.OpenGL3DParallelCoordinates.Settings

Texture height.

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

Text color

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

Text size

TextbookMultivariateGaussianModel - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.em

Numerically problematic implementation of the GMM model, using the textbook algorithm.

TextbookMultivariateGaussianModel(double, double[]) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.em.TextbookMultivariateGaussianModel

Constructor.

TextbookMultivariateGaussianModel(double, double[], double[][]) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.em.TextbookMultivariateGaussianModel

Constructor.

TextbookMultivariateGaussianModelFactory<V extends NumberVector> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.em

Factory for EM with multivariate Gaussian model, using the textbook algorithm.

TextbookMultivariateGaussianModelFactory(KMeansInitialization) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.em.TextbookMultivariateGaussianModelFactory

Constructor.

TextbookMultivariateGaussianModelFactory.Parameterizer<V extends NumberVector> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.em

Parameterization class

textfield - Variable in class de.lmu.ifi.dbs.elki.gui.configurator.ClassListParameterConfigurator

Text field to store the name

textfield - Variable in class de.lmu.ifi.dbs.elki.gui.configurator.ClassParameterConfigurator

Text field to store the name

textfield - Variable in class de.lmu.ifi.dbs.elki.gui.configurator.FileParameterConfigurator

Text field to store the name

textfield - Variable in class de.lmu.ifi.dbs.elki.gui.util.ParameterTable.ClassListEditor

Text field to store the name

textfield - Variable in class de.lmu.ifi.dbs.elki.gui.util.ParameterTable.FileNameEditor

Text field to store the name

TextParameterConfigurator - Class in de.lmu.ifi.dbs.elki.gui.configurator

Provide a configuration panel to input an arbitrary text parameter.

TextParameterConfigurator(Parameter<?>, JComponent) - Constructor for class de.lmu.ifi.dbs.elki.gui.configurator.TextParameterConfigurator

textrenderer - Variable in class de.lmu.ifi.dbs.elki.visualization.parallel3d.OpenGL3DParallelCoordinates.Instance.Shared

Text renderer

textures - Variable in class de.lmu.ifi.dbs.elki.visualization.parallel3d.Parallel3DRenderer

Prerendered textures.

TextWriteable - Interface in de.lmu.ifi.dbs.elki.result.textwriter

Interface for objects providing a text serialization suitable for human reading and storage in CSV files.

TextWriter - Class in de.lmu.ifi.dbs.elki.result.textwriter

Class to write a result to human-readable text output.

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

TextWriterConfusionMatrixResult - Class in de.lmu.ifi.dbs.elki.result.textwriter.writers

Write a classification evaluation to a text file.

TextWriterConfusionMatrixResult() - Constructor for class de.lmu.ifi.dbs.elki.result.textwriter.writers.TextWriterConfusionMatrixResult

TextWriterDoubleArray - Class in de.lmu.ifi.dbs.elki.result.textwriter.writers

Write a double array.

TextWriterDoubleArray() - Constructor for class de.lmu.ifi.dbs.elki.result.textwriter.writers.TextWriterDoubleArray

TextWriterDoubleDoublePair - Class in de.lmu.ifi.dbs.elki.result.textwriter.writers

Write a pair

TextWriterDoubleDoublePair() - Constructor for class de.lmu.ifi.dbs.elki.result.textwriter.writers.TextWriterDoubleDoublePair

TextWriterIgnore - Class in de.lmu.ifi.dbs.elki.result.textwriter.writers

Ignore the given object when serializing to text.

TextWriterIgnore() - Constructor for class de.lmu.ifi.dbs.elki.result.textwriter.writers.TextWriterIgnore

TextWriterIntArray - Class in de.lmu.ifi.dbs.elki.result.textwriter.writers

Write a double array.

TextWriterIntArray() - Constructor for class de.lmu.ifi.dbs.elki.result.textwriter.writers.TextWriterIntArray

TextWriterObjectArray<T> - Class in de.lmu.ifi.dbs.elki.result.textwriter.writers

Write an object into the inline section, using the objects toString method.

TextWriterObjectArray() - Constructor for class de.lmu.ifi.dbs.elki.result.textwriter.writers.TextWriterObjectArray

TextWriterObjectComment - Class in de.lmu.ifi.dbs.elki.result.textwriter.writers

Write an object into the comments section, using the objects toString() method.

TextWriterObjectComment() - Constructor for class de.lmu.ifi.dbs.elki.result.textwriter.writers.TextWriterObjectComment

TextWriterObjectInline - Class in de.lmu.ifi.dbs.elki.result.textwriter.writers

Write an object into the inline section, using the objects toString method.

TextWriterObjectInline() - Constructor for class de.lmu.ifi.dbs.elki.result.textwriter.writers.TextWriterObjectInline

TextWriterPair - Class in de.lmu.ifi.dbs.elki.result.textwriter.writers

Write a pair

TextWriterPair() - Constructor for class de.lmu.ifi.dbs.elki.result.textwriter.writers.TextWriterPair

TextWriterPanel() - Constructor for class de.lmu.ifi.dbs.elki.visualization.gui.ResultWindow.TextWriterPanel

Constructor.

TextWriterStream - Class in de.lmu.ifi.dbs.elki.result.textwriter

Representation of an output stream to a text file.

TextWriterStream(PrintStream, HandlerList<TextWriterWriterInterface<?>>, TextWriterWriterInterface<?>) - Constructor for class de.lmu.ifi.dbs.elki.result.textwriter.TextWriterStream

Constructor.

TextWriterTextWriteable - Class in de.lmu.ifi.dbs.elki.result.textwriter.writers

Write an object, using the objects own TextWriteable interface.

TextWriterTextWriteable() - Constructor for class de.lmu.ifi.dbs.elki.result.textwriter.writers.TextWriterTextWriteable

TextWriterWriterInterface<O> - Class in de.lmu.ifi.dbs.elki.result.textwriter

Base class for object writers.

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

TextWriterXYCurve - Class in de.lmu.ifi.dbs.elki.result.textwriter.writers

Serialize an XYCurve to text.

TextWriterXYCurve() - Constructor for class de.lmu.ifi.dbs.elki.result.textwriter.writers.TextWriterXYCurve

texwidth - Variable in class de.lmu.ifi.dbs.elki.visualization.parallel3d.OpenGL3DParallelCoordinates.Settings

Texture width.

theight - Variable in class de.lmu.ifi.dbs.elki.visualization.gui.overview.RectangleArranger

Height

theoreticalBaseline - Variable in class de.lmu.ifi.dbs.elki.result.outlier.BasicOutlierScoreMeta

Store the theoretical baseline

theoreticalBaseline - Variable in class de.lmu.ifi.dbs.elki.result.outlier.ProbabilisticOutlierScore

Theoretical baseline specified by the algorithm.

theoreticalMaximum - Variable in class de.lmu.ifi.dbs.elki.result.outlier.BasicOutlierScoreMeta

Store the theoretical maximum

theoreticalMinimum - Variable in class de.lmu.ifi.dbs.elki.result.outlier.BasicOutlierScoreMeta

Store the theoretical minimum

theta - Variable in class de.lmu.ifi.dbs.elki.algorithm.projection.BarnesHutTSNE.Parameterizer

Theta approximation quality parameter.

theta - Variable in class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.SigmoidKernelFunction.Parameterizer

C parameter, theta parameter

theta - Variable in class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.SigmoidKernelFunction

Scaling factor c, bias theta

theta - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.ExpGammaDistribution.Parameterizer

Theta == 1 / Beta.

theta - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.ExpGammaDistribution

Theta == 1 / Beta.

theta - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.GammaDistribution.Parameterizer

Parameters.

theta - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.GammaDistribution

Theta == 1 / Beta

theta - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.LogGammaDistribution.Parameterizer

Parameters.

theta - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.LogGammaDistribution

Theta == 1 / Beta.

theta - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.WeibullDistribution.Parameterizer

Parameters.

theta - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.WeibullDistribution

Shift offset.

theta - Variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.OutlierGammaScaling

Gamma parameter theta

THETA_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.projection.BarnesHutTSNE.Parameterizer

Parameter for the approximation quality.

THETA_ID - Static variable in class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.SigmoidKernelFunction.Parameterizer

Theta parameter: bias

THETA_ID - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.ExpGammaDistribution.Parameterizer

Theta parameter, same as GammaDistribution.Parameterizer.THETA_ID.

THETA_ID - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.GammaDistribution.Parameterizer

Theta parameter.

THREAD - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.thumbs.ThumbnailThread

The static thumbnail thread.

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

Threshold

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

Threshold

threshold - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.birch.CFTree.Factory.Parameterizer

Cluster merge threshold.

threshold - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.birch.CFTree.Factory

Cluster merge threshold.

threshold - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.extraction.CutDendrogramByHeight.Parameterizer

Threshold level.

threshold - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.extraction.CutDendrogramByHeight

Threshold for extracting clusters.

threshold - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.Leader.Parameterizer

Maximum distance from leading object,

threshold - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.Leader

Maximum distance from leading object,

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

The relative amount of epsilon-close pairings determined by the neighborcheck.

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

The relative amount of epsilon-close pairings determined by the neighborcheck.

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

The relative amount of epsilon-close pairings determined by the neighborcheck.

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

The relative amount of epsilon-close pairings determined by the neighborcheck.

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

Threshold to use

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

Thresholds to use

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

Threshold

THRESHOLD - Static variable in class de.lmu.ifi.dbs.elki.math.geometry.XYCurve

Simplification threshold

THRESHOLD - Static variable in class de.lmu.ifi.dbs.elki.math.geometry.XYPlot

Simplification threshold

threshold - Variable in class de.lmu.ifi.dbs.elki.visualization.batikutil.LazyCanvasResizer

Active threshold

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

Global significance threshold

THRESHOLD_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.birch.CFTree.Factory.Parameterizer

Distance threshold.

THRESHOLD_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.extraction.CutDendrogramByHeight.Parameterizer

The threshold level for which to extract the clustering.

THRESHOLD_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.Leader.Parameterizer

Option ID of threshold parameter.

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

Threshold for epsilon-neighborhood, defaults to 0.5.

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

Parameter to specify the threshold

thresholdLength(double[][], int[]) - Static method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.strategies.split.MSTSplit

Choose the threshold length of edges to consider omittig.

thresholdsq - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.birch.CFTree

Squared maximum radius threshold of a clusterin feature.

THROBBER_PATH - Static variable in class de.lmu.ifi.dbs.elki.visualization.svg.SVGUtil

Throbber path.

THROBBER_STYLE - Static variable in class de.lmu.ifi.dbs.elki.visualization.svg.SVGUtil

Throbber style.

thumb - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.thumbs.ThumbnailVisualization

Our thumbnail (keep a reference to prevent garbage collection!)

thumbid - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.thumbs.ThumbnailVisualization

The thumbnail id.

ThumbnailRegistryEntry - Class in de.lmu.ifi.dbs.elki.visualization.batikutil

Access images via an internal image registry.

ThumbnailRegistryEntry() - Constructor for class de.lmu.ifi.dbs.elki.visualization.batikutil.ThumbnailRegistryEntry

Constructor.

ThumbnailRegistryEntry.InternalParsedURLData - Class in de.lmu.ifi.dbs.elki.visualization.batikutil

URL representation for internal URLs.

ThumbnailThread - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.thumbs

Thread to render thumbnails in the background.

ThumbnailThread() - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.thumbs.ThumbnailThread

ThumbnailThread.Listener - Interface in de.lmu.ifi.dbs.elki.visualization.visualizers.thumbs

Listener interface for completed thumbnails.

ThumbnailThread.Task - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.thumbs

A single thumbnailer task.

ThumbnailTranscoder - Class in de.lmu.ifi.dbs.elki.visualization.batikutil

Transcode images to in-memory thumbnails.

ThumbnailTranscoder() - Constructor for class de.lmu.ifi.dbs.elki.visualization.batikutil.ThumbnailTranscoder

Constructor.

ThumbnailVisualization - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.thumbs

Thumbnail visualization.

ThumbnailVisualization(VisualizerContext, VisFactory, VisualizationTask, VisualizationPlot, double, double, Projection, int) - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.thumbs.ThumbnailVisualization

Constructor.

TiedTopBoundedHeap<E> - Class in de.lmu.ifi.dbs.elki.utilities.datastructures.heap

A size-limited heap similar to TopBoundedHeap, discarding elements with the highest value.

TiedTopBoundedHeap(int, Comparator<? super E>) - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.TiedTopBoundedHeap

Constructor with comparator.

TiedTopBoundedHeap(int) - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.TiedTopBoundedHeap

Constructor for Comparable objects.

TiedTopBoundedHeap.UnorderedIter - Class in de.lmu.ifi.dbs.elki.utilities.datastructures.heap

Unordered heap iterator class.

TiedTopBoundedUpdatableHeap<E> - Class in de.lmu.ifi.dbs.elki.utilities.datastructures.heap

A size-limited heap similar to TopBoundedHeap, discarding elements with the highest value.

TiedTopBoundedUpdatableHeap(int, Comparator<? super E>) - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.TiedTopBoundedUpdatableHeap

Constructor with comparator.

TiedTopBoundedUpdatableHeap(int) - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.TiedTopBoundedUpdatableHeap

Constructor for Comparable objects.

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

tiedToPrevious() - Method in class de.lmu.ifi.dbs.elki.evaluation.scores.adapter.DistanceResultAdapter

tiedToPrevious() - Method in class de.lmu.ifi.dbs.elki.evaluation.scores.adapter.OutlierScoreAdapter

tiedToPrevious() - Method in class de.lmu.ifi.dbs.elki.evaluation.scores.adapter.SimpleAdapter

tiedToPrevious() - Method in interface de.lmu.ifi.dbs.elki.evaluation.scores.ScoreEvaluation.ScoreIter

Test whether the score is the same as the previous objects score.

ties - Variable in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDKNNHeap

List to track ties.

ties - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.TiedTopBoundedHeap

List to keep ties in.

ties - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.TiedTopBoundedUpdatableHeap

List to keep ties in.

time - Variable in class de.lmu.ifi.dbs.elki.workflow.AlgorithmStep.Parameterizer

Enable logging of performance data

TIME_ID - Static variable in class de.lmu.ifi.dbs.elki.workflow.AlgorithmStep.Parameterizer

Flag to allow verbose messages while running the application.

TIME_UNIT_DIGITS - Static variable in class de.lmu.ifi.dbs.elki.utilities.io.FormatUtil

The number of digits used for formatting

TIME_UNIT_NAMES - Static variable in class de.lmu.ifi.dbs.elki.utilities.io.FormatUtil

The strings used in serialization

TIME_UNIT_SIZES - Static variable in class de.lmu.ifi.dbs.elki.utilities.io.FormatUtil

The time unit sizes: ms, s, m, h, d; all in ms.

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

Multiply component-wise v1 * s1.

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

Deprecated.

this is fairly inefficient memory layout, rewriting your code

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

Multiply a matrix by a scalar component-wise, m3 = m1 * s1.

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

Matrix multiplication, m1 * m2.

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

Matrix with vector multiplication, m1 * v2.

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

Multiply component-wise v1 = v1 * s1, overwriting the vector v1.

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

Multiply a matrix by a scalar component-wise in place, m1 = m1 * s1, overwriting the existing matrix m1.

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

Computes component-wise v1 * s1 - v2.

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

Computes component-wise v1 = v1 * s1 - v2, overwriting the vector v1.

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

Computes component-wise v1 * s1 - v2 * s2.

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

Computes component-wise v1 = v1 * s1 - v2 * s2, overwriting the vector v1.

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

Computes component-wise v1 * s1 + v2.

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

Computes component-wise v1 = v1 * s1 + v2, overwriting the vector v1.

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

Computes component-wise v1 * s1 + v2 * s2.

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

Computes component-wise v1 = v1 * s1 + v2 * s2, overwriting the vector v1.

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

Deprecated.

this is fairly inefficient memory layout, rewriting your code

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

Vectors to matrix multiplication, v1 * v2^T.

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

Matrix multiplication, m1 * m2^T

title - Variable in class de.lmu.ifi.dbs.elki.result.AutomaticVisualization.Parameterizer

Stores the set title.

title - Variable in class de.lmu.ifi.dbs.elki.result.AutomaticVisualization

Stores the set title.

Title - Annotation Type in de.lmu.ifi.dbs.elki.utilities.documentation

Simple interface to provide a nicer title for the class.

title - Variable in class de.lmu.ifi.dbs.elki.visualization.svg.SVGButton

Button title, optional

titlecss - Variable in class de.lmu.ifi.dbs.elki.visualization.svg.SVGButton

Title styling

tmp - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.em.TextbookMultivariateGaussianModel

Temporary storage, to avoid reallocations.

tmp - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.em.TwoPassMultivariateGaussianModel

Temporary storage, to avoid reallocations.

tmpcomp - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.HiCO.Instance

Sort object by the temporary fields.

tmpcomp - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.DiSH.Instance

Sort object by the temporary fields.

tmpCorrelation - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.HiCO.Instance

Temporary storage of correlation values.

tmpCorrelation - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.DiSH.Instance

Temporary storage of correlation values.

tmpDistance - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.HiCO.Instance

Temporary storage of distances.

tmpDistance - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.DiSH.Instance

Temporary storage of distances.

tmpIds - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.HiCO.Instance

Temporary ids.

tmpIds - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.DiSH.Instance

Temporary ids.

tmpPreferenceVectors - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.DiSH.Instance

Temporary storage for new preference vectors.

tn - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.distance.HilOut.Parameterizer

Scores to report: all or top-n only

tn - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.distance.HilOut

Reporting mode: exact (top n) only, or all

TN_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.distance.HilOut.Parameterizer

Parameter to specify if only the Top n, or also approximations for the other elements, should be returned

toArray() - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.ALOCI.Node

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

Returns a Vector representing in one column and getDimensionality() rows the values of this BitVector as double values.

toArray() - Method in class de.lmu.ifi.dbs.elki.data.ByteVector

toArray() - Method in class de.lmu.ifi.dbs.elki.data.DoubleVector

toArray() - Method in class de.lmu.ifi.dbs.elki.data.FloatVector

toArray() - Method in class de.lmu.ifi.dbs.elki.data.IntegerVector

toArray() - Method in interface de.lmu.ifi.dbs.elki.data.NumberVector

Returns a double array copy of this vector.

toArray() - Method in class de.lmu.ifi.dbs.elki.data.OneDimensionalDoubleVector

toArray() - Method in class de.lmu.ifi.dbs.elki.data.ShortVector

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

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

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

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

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

toArray() - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.SpatialPointLeafEntry

toArray() - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Centroid

toArray() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike.DoubleArray

Return a copy of the contents as array.

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

Return a copy of the contents as array.

toBitset(Itemset, long[]) - Static method in class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.Itemset

Get the items.

toByteBuffer(ByteBuffer, BitVector) - Method in class de.lmu.ifi.dbs.elki.data.BitVector.ShortSerializer

toByteBuffer(ByteBuffer, ByteVector) - Method in class de.lmu.ifi.dbs.elki.data.ByteVector.ShortSerializer

toByteBuffer(ByteBuffer, ByteVector) - Method in class de.lmu.ifi.dbs.elki.data.ByteVector.SmallSerializer

toByteBuffer(ByteBuffer, DoubleVector) - Method in class de.lmu.ifi.dbs.elki.data.DoubleVector.ShortSerializer

toByteBuffer(ByteBuffer, DoubleVector) - Method in class de.lmu.ifi.dbs.elki.data.DoubleVector.SmallSerializer

toByteBuffer(ByteBuffer, DoubleVector) - Method in class de.lmu.ifi.dbs.elki.data.DoubleVector.VariableSerializer

toByteBuffer(ByteBuffer, FloatVector) - Method in class de.lmu.ifi.dbs.elki.data.FloatVector.ShortSerializer

toByteBuffer(ByteBuffer, FloatVector) - Method in class de.lmu.ifi.dbs.elki.data.FloatVector.SmallSerializer

toByteBuffer(ByteBuffer, FloatVector) - Method in class de.lmu.ifi.dbs.elki.data.FloatVector.VariableSerializer

toByteBuffer(ByteBuffer, IntegerVector) - Method in class de.lmu.ifi.dbs.elki.data.IntegerVector.ShortSerializer

toByteBuffer(ByteBuffer, IntegerVector) - Method in class de.lmu.ifi.dbs.elki.data.IntegerVector.SmallSerializer

toByteBuffer(ByteBuffer, IntegerVector) - Method in class de.lmu.ifi.dbs.elki.data.IntegerVector.VariableSerializer

toByteBuffer(ByteBuffer, LabelList) - Method in class de.lmu.ifi.dbs.elki.data.LabelList.Serializer

toByteBuffer(ByteBuffer, ShortVector) - Method in class de.lmu.ifi.dbs.elki.data.ShortVector.ShortSerializer

toByteBuffer(ByteBuffer, ShortVector) - Method in class de.lmu.ifi.dbs.elki.data.ShortVector.VariableSerializer

toByteBuffer(ByteBuffer, SimpleClassLabel) - Method in class de.lmu.ifi.dbs.elki.data.SimpleClassLabel.Serializer

toByteBuffer(ByteBuffer, SparseByteVector) - Method in class de.lmu.ifi.dbs.elki.data.SparseByteVector.VariableSerializer

toByteBuffer(ByteBuffer, SparseDoubleVector) - Method in class de.lmu.ifi.dbs.elki.data.SparseDoubleVector.VariableSerializer

toByteBuffer(ByteBuffer, SparseFloatVector) - Method in class de.lmu.ifi.dbs.elki.data.SparseFloatVector.VariableSerializer

toByteBuffer(ByteBuffer, SparseIntegerVector) - Method in class de.lmu.ifi.dbs.elki.data.SparseIntegerVector.VariableSerializer

toByteBuffer(ByteBuffer, SparseShortVector) - Method in class de.lmu.ifi.dbs.elki.data.SparseShortVector.VariableSerializer

toByteBuffer(ByteBuffer, SimpleTypeInformation<?>) - Method in class de.lmu.ifi.dbs.elki.data.type.TypeInformationSerializer.SimpleTypeSerializer

toByteBuffer(ByteBuffer, TypeInformation) - Method in class de.lmu.ifi.dbs.elki.data.type.TypeInformationSerializer

toByteBuffer(ByteBuffer, VectorFieldTypeInformation<?>) - Method in class de.lmu.ifi.dbs.elki.data.type.TypeInformationSerializer.VectorFieldTypeSerializer

toByteBuffer(ByteBuffer, VectorTypeInformation<?>) - Method in class de.lmu.ifi.dbs.elki.data.type.TypeInformationSerializer.VectorTypeSerializer

toByteBuffer(ByteBuffer, DBID) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBID.DynamicSerializer

toByteBuffer(ByteBuffer, DBID) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBID.StaticSerializer

toByteBuffer(ByteBuffer, Byte) - Method in class de.lmu.ifi.dbs.elki.utilities.io.ByteArrayUtil.ByteSerializer

Deprecated.

toByteBuffer(ByteBuffer, Double) - Method in class de.lmu.ifi.dbs.elki.utilities.io.ByteArrayUtil.DoubleSerializer

Deprecated.

toByteBuffer(ByteBuffer, Float) - Method in class de.lmu.ifi.dbs.elki.utilities.io.ByteArrayUtil.FloatSerializer

Deprecated.

toByteBuffer(ByteBuffer, Integer) - Method in class de.lmu.ifi.dbs.elki.utilities.io.ByteArrayUtil.IntegerSerializer

Deprecated.

toByteBuffer(ByteBuffer, Long) - Method in class de.lmu.ifi.dbs.elki.utilities.io.ByteArrayUtil.LongSerializer

Deprecated.

toByteBuffer(ByteBuffer, Short) - Method in class de.lmu.ifi.dbs.elki.utilities.io.ByteArrayUtil.ShortSerializer

Deprecated.

toByteBuffer(ByteBuffer, String) - Method in class de.lmu.ifi.dbs.elki.utilities.io.ByteArrayUtil.StringSerializer

toByteBuffer(ByteBuffer, Integer) - Method in class de.lmu.ifi.dbs.elki.utilities.io.ByteArrayUtil.VarintSerializer

Deprecated.

toByteBuffer(ByteBuffer, T) - Method in interface de.lmu.ifi.dbs.elki.utilities.io.ByteBufferSerializer

Serialize the object to a byte array (e.g. disk)

toCluster(SimplifiedHierarchyExtraction.TempCluster, Clustering<DendrogramModel>, DBIDRef) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.extraction.SimplifiedHierarchyExtraction.Instance

Make the cluster for the given object

toggle() - Method in interface de.lmu.ifi.dbs.elki.visualization.VisualizationMenuToggle

Menu item was activated.

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

Toggle inverted flag of axis.

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

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

Toggle visibility of the axis.

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

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

Toggle inverted flag of dimension.

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

toggleTooltip(Element, String) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.AbstractTooltipVisualization

Toggle the Tooltip of an element.

toggleUnclusteredPairs(boolean) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.pairsegments.CircleSegmentsVisualizer.Instance

TokenizedReader - Class in de.lmu.ifi.dbs.elki.utilities.io

Reader that will tokenize the input data as desired.

TokenizedReader(Pattern, String, Pattern) - Constructor for class de.lmu.ifi.dbs.elki.utilities.io.TokenizedReader

Constructor.

tokenizer - Variable in class de.lmu.ifi.dbs.elki.datasource.parser.AbstractStreamingParser

Tokenizer.

tokenizer - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.AsciiDistanceParser

Tokenizer.

tokenizer - Variable in class de.lmu.ifi.dbs.elki.utilities.io.TokenizedReader

String tokenizer.

Tokenizer - Class in de.lmu.ifi.dbs.elki.utilities.io

String tokenizer.

Tokenizer(Pattern, String) - Constructor for class de.lmu.ifi.dbs.elki.utilities.io.Tokenizer

Constructor.

toKNNList() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDKNNHeap

toKNNList() - Method in interface de.lmu.ifi.dbs.elki.database.ids.KNNHeap

Serialize to a KNNList.

toKNNListSqrt() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDKNNHeap

toKNNListSqrt() - Method in interface de.lmu.ifi.dbs.elki.database.ids.KNNHeap

Serialize to a KNNList, but applying sqrt to every distance.

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

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

Checks if the default value of this parameter was taken as the actual parameter value.

tool - Variable in class de.lmu.ifi.dbs.elki.visualization.VisualizationTask

Flag to mark the visualizer as tool.

tool(boolean) - Method in class de.lmu.ifi.dbs.elki.visualization.VisualizationTask

Flag as tool visualizer.

TOOLTIP_AREA - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.AbstractTooltipVisualization

Generic tag to indicate the type of element.

TOOLTIP_HIDDEN - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.AbstractTooltipVisualization

Generic tag to indicate the type of element.

TOOLTIP_STICKY - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.AbstractTooltipVisualization

Generic tag to indicate the type of element.

TOOLTIP_VISIBLE - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.AbstractTooltipVisualization

Generic tag to indicate the type of element.

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

Generates a SVG-Element containing Tooltips.

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

Constructor.

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

Instance

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

Parameterization class.

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

Generates a SVG-Element containing Tooltips.

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

Constructor.

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

Instance

TooManyRetriesException - Exception in de.lmu.ifi.dbs.elki.utilities.exceptions

Exception thrown when too many retries were attempted.

TooManyRetriesException(String) - Constructor for exception de.lmu.ifi.dbs.elki.utilities.exceptions.TooManyRetriesException

Constructor.

TooManyRetriesException(String, Throwable) - Constructor for exception de.lmu.ifi.dbs.elki.utilities.exceptions.TooManyRetriesException

Constructor.

top - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.distance.HilOut.HilbertFeatures

Top candidates

TopBoundedHeap<E> - Class in de.lmu.ifi.dbs.elki.utilities.datastructures.heap

Heap class that is bounded in size from the top.

TopBoundedHeap(int) - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.TopBoundedHeap

Constructor with maximum size only.

TopBoundedHeap(int, Comparator<? super E>) - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.TopBoundedHeap

Constructor with maximum size and Comparator.

TopBoundedUpdatableHeap<E> - Class in de.lmu.ifi.dbs.elki.utilities.datastructures.heap

Heap class that is bounded in size from the top.

TopBoundedUpdatableHeap(int) - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.TopBoundedUpdatableHeap

Constructor with maximum size only.

TopBoundedUpdatableHeap(int, Comparator<? super E>) - Constructor for class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.TopBoundedUpdatableHeap

Constructor with maximum size and Comparator.

TopKOutlierScaling - Class in de.lmu.ifi.dbs.elki.utilities.scaling.outlier

Outlier scaling function that only keeps the top k outliers.

TopKOutlierScaling(int, boolean) - Constructor for class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.TopKOutlierScaling

Constructor.

TopKOutlierScaling.Parameterizer - Class in de.lmu.ifi.dbs.elki.utilities.scaling.outlier

Parameterization class.

topleft - Variable in class de.lmu.ifi.dbs.elki.math.geometry.FilteredConvexHull2D

Top-left point

TOPLEVEL_PACKAGE - Static variable in class de.lmu.ifi.dbs.elki.logging.LoggingConfiguration

Top level ELKI package (for setting 'verbose')

toplevelclusters - Variable in class de.lmu.ifi.dbs.elki.data.Clustering

Keep a list of top level clusters.

topologicalSort() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.PointerHierarchyRepresentationResult

Topological sort the object IDs.

TopologicalSplitter - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.split

Encapsulates the required parameters for a topological split of a R*-Tree.

TopologicalSplitter() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.split.TopologicalSplitter

Constructor.

TopologicalSplitter.Parameterizer - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.split

Parameterization class.

TopologicalSplitter.Split<A,E extends SpatialComparable> - Class in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.split

Internal data for an actual split.

topright - Variable in class de.lmu.ifi.dbs.elki.math.geometry.FilteredConvexHull2D

Top-left point

toPrimitiveDoubleArray(A, NumberArrayAdapter<?, A>) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.meta.TrimmedEstimator

Local copy, see ArrayLikeUtil.toPrimitiveDoubleArray.

toPrimitiveDoubleArray(A, NumberArrayAdapter<?, ? super A>) - Static method in class de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike.ArrayLikeUtil

Convert a numeric array-like to a double[].

toPrimitiveDoubleArray(List<? extends Number>) - Static method in class de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike.ArrayLikeUtil

Convert a list of numbers to double[].

toPrimitiveDoubleArray(NumberVector) - Static method in class de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike.ArrayLikeUtil

Convert a number vector to double[].

toPrimitiveFloatArray(A, NumberArrayAdapter<?, ? super A>) - Static method in class de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike.ArrayLikeUtil

Convert a numeric array-like to a float[].

toPrimitiveFloatArray(List<? extends Number>) - Static method in class de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike.ArrayLikeUtil

Convert a list of numbers to float[].

toPrimitiveFloatArray(NumberVector) - Static method in class de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike.ArrayLikeUtil

Convert a number vector to float[].

toPrimitiveIntegerArray(A, NumberArrayAdapter<?, ? super A>) - Static method in class de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike.ArrayLikeUtil

Convert a numeric array-like to a int[].

toPrimitiveIntegerArray(List<? extends Number>) - Static method in class de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike.ArrayLikeUtil

Convert a list of numbers to int[].

toPrimitiveIntegerArray(NumberVector) - Static method in class de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike.ArrayLikeUtil

Convert a number vector to int[].

toPValue(double, int) - Method in class de.lmu.ifi.dbs.elki.math.statistics.dependence.HoeffdingsDDependenceMeasure

Convert Hoeffding D value to a p-value.

topy - Variable in class de.lmu.ifi.dbs.elki.math.geometry.FilteredConvexHull2D

Left bound

toString() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.cash.CASHInterval

toString() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.cash.ParameterizationFunction

Returns a string representation of the object.

toString(int) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.cash.ParameterizationFunction

Returns a string representation of the object with the specified offset.

toString() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.util.Border

toString() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.util.Core

toString() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.util.MultiBorder

toString() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.optics.DeLiClu.SpatialObjectPair

Returns a string representation of the object.

toString() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.optics.OPTICSHeapEntry

Returns a string representation of the object.

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

toString() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.optics.OPTICSXi.SteepUpArea

toString() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.clique.CLIQUESubspace

Calls the super method and adds additionally the coverage, and the dense units of this subspace.

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

Returns a string representation of this unit that contains the intervals of this unit.

toString() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.P3C.Signature

toString() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.PROCLUS.PROCLUSCluster

toString() - Method in class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.associationrules.AssociationRule

toString() - Method in class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.Itemset

toString() - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.meta.HiCS.HiCSSubspace

toString() - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.subspace.AggarwalYuEvolutionary.Individuum

toString() - Method in class de.lmu.ifi.dbs.elki.algorithm.projection.BarnesHutTSNE.QuadTree

toString() - Method in class de.lmu.ifi.dbs.elki.data.Bit

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

Returns a String representation of this BitVector.

toString() - Method in class de.lmu.ifi.dbs.elki.data.ByteVector

toString() - Method in class de.lmu.ifi.dbs.elki.data.ClassLabel

Any ClassLabel requires a method to represent the label as a String.

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

toString() - Method in class de.lmu.ifi.dbs.elki.data.DoubleVector

toString() - Method in class de.lmu.ifi.dbs.elki.data.ExternalID

toString() - Method in interface de.lmu.ifi.dbs.elki.data.FeatureVector

Returns a String representation of the FeatureVector of V as a line that is suitable to be printed in a sequential file.

toString() - Method in class de.lmu.ifi.dbs.elki.data.FloatVector

toString() - Method in class de.lmu.ifi.dbs.elki.data.HierarchicalClassLabel

Returns a String representation of this HierarchicalClassLabel using separatorString to separate levels.

toString(int) - Method in class de.lmu.ifi.dbs.elki.data.HierarchicalClassLabel

Create a String representation of this ClassLabel comprising only the first level levels.

toString() - Method in class de.lmu.ifi.dbs.elki.data.HyperBoundingBox

Returns a String representation of the HyperBoundingBox.

toString(String, NumberFormat) - Method in class de.lmu.ifi.dbs.elki.data.HyperBoundingBox

Returns a String representation of the HyperBoundingBox.

toString() - Method in class de.lmu.ifi.dbs.elki.data.IntegerVector

toString() - Method in class de.lmu.ifi.dbs.elki.data.LabelList

toString() - Method in class de.lmu.ifi.dbs.elki.data.model.ClusterModel

toString() - Method in class de.lmu.ifi.dbs.elki.data.model.CoreObjectsModel

toString() - Method in class de.lmu.ifi.dbs.elki.data.model.DendrogramModel

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

toString() - Method in class de.lmu.ifi.dbs.elki.data.model.OPTICSModel

toString() - Method in class de.lmu.ifi.dbs.elki.data.model.SimplePrototypeModel

toString() - Method in class de.lmu.ifi.dbs.elki.data.ShortVector

toString() - Method in class de.lmu.ifi.dbs.elki.data.SimpleClassLabel

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

Create a String representation of this SparseByteVector as suitable for SparseNumberVectorLabelParser .

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

Create a String representation of this SparseDoubleVector as suitable for SparseNumberVectorLabelParser .

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

Create a String representation of this SparseFloatVector as suitable for SparseNumberVectorLabelParser .

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

Create a String representation of this SparseIntegerVector as suitable for SparseNumberVectorLabelParser .

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

Create a String representation of this SparseShortVector as suitable for SparseNumberVectorLabelParser .

toString() - Method in class de.lmu.ifi.dbs.elki.data.spatial.Polygon

toString() - Method in class de.lmu.ifi.dbs.elki.data.spatial.PolygonsObject

toString() - Method in class de.lmu.ifi.dbs.elki.data.Subspace

toString() - Method in class de.lmu.ifi.dbs.elki.data.type.AlternativeTypeInformation

toString() - Method in class de.lmu.ifi.dbs.elki.data.type.CombinedTypeInformation

toString() - Method in class de.lmu.ifi.dbs.elki.data.type.MultivariateSeriesTypeInformation

toString() - Method in class de.lmu.ifi.dbs.elki.data.type.SimpleTypeInformation

toString() - Method in class de.lmu.ifi.dbs.elki.data.type.VectorFieldTypeInformation

toString() - Method in class de.lmu.ifi.dbs.elki.data.type.VectorTypeInformation

toString() - Method in class de.lmu.ifi.dbs.elki.database.datastore.memory.ArrayDBIDStore

toString(DBIDRef) - Method in interface de.lmu.ifi.dbs.elki.database.ids.DBIDFactory

Print a DBID as string.

toString(DBIDRef) - Static method in class de.lmu.ifi.dbs.elki.database.ids.DBIDUtil

Format a DBID as string.

toString(DBIDs) - Static method in class de.lmu.ifi.dbs.elki.database.ids.DBIDUtil

Format a DBID as string.

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

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

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

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

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

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

toString() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDArrayList.Itr

toString() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDArrayList

toString() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDKNNList

toString() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDPair

toString() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.FastutilIntOpenHashSetModifiableDBIDs.Itr

toString() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.FastutilIntOpenHashSetModifiableDBIDs

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

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

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

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

Canonical toString operator

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

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

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

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

toString() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.UnmodifiableIntegerArrayDBIDs.Itr

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

toString() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.UnmodifiableIntegerDBIDs

toString() - Method in class de.lmu.ifi.dbs.elki.datasource.filter.AbstractConversionFilter

toString() - Method in class de.lmu.ifi.dbs.elki.datasource.filter.AbstractStreamFilter

toString() - Method in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise.AttributeWiseCDFNormalization

toString() - Method in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise.AttributeWiseMADNormalization

toString() - Method in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise.AttributeWiseMeanNormalization

toString() - Method in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise.AttributeWiseMinMaxNormalization

toString() - Method in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise.AttributeWiseVarianceNormalization

toString() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.ArcCosineDistanceFunction

toString() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.ArcCosineUnitlengthDistanceFunction

toString() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.colorhistogram.HistogramIntersectionDistanceFunction

toString() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.correlation.AbsolutePearsonCorrelationDistanceFunction

toString() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.correlation.AbsoluteUncenteredCorrelationDistanceFunction

toString() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.correlation.PearsonCorrelationDistanceFunction

toString() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.correlation.SquaredPearsonCorrelationDistanceFunction

toString() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.correlation.SquaredUncenteredCorrelationDistanceFunction

toString() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.correlation.UncenteredCorrelationDistanceFunction

toString() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.correlation.WeightedPearsonCorrelationDistanceFunction

toString() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.CosineDistanceFunction

toString() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.CosineUnitlengthDistanceFunction

toString() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.geo.LngLatDistanceFunction

toString() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.histogram.HistogramMatchDistanceFunction

toString() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.histogram.KolmogorovSmirnovDistanceFunction

toString() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.EuclideanDistanceFunction

toString() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.LPNormDistanceFunction

toString() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.ManhattanDistanceFunction

toString() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.MaximumDistanceFunction

toString() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.MinimumDistanceFunction

toString() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.SquaredEuclideanDistanceFunction

toString() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.probabilistic.ChiDistanceFunction

toString() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.probabilistic.ChiSquaredDistanceFunction

toString() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.probabilistic.JeffreyDivergenceDistanceFunction

toString() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.probabilistic.JensenShannonDivergenceDistanceFunction

toString() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.probabilistic.KullbackLeiblerDivergenceAsymmetricDistanceFunction

toString() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.probabilistic.KullbackLeiblerDivergenceReverseAsymmetricDistanceFunction

toString() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.probabilistic.SqrtJensenShannonDivergenceDistanceFunction

toString() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.probabilistic.TriangularDiscriminationDistanceFunction

toString() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.probabilistic.TriangularDistanceFunction

toString() - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.RandomStableDistanceFunction

toString() - Method in class de.lmu.ifi.dbs.elki.evaluation.classification.ConfusionMatrix

Provides a String representation of this confusion matrix.

toString() - Method in class de.lmu.ifi.dbs.elki.evaluation.clustering.ClusterContingencyTable

toString() - Method in class de.lmu.ifi.dbs.elki.index.tree.AbstractNode

Returns a string representation of this node.

toString() - Method in class de.lmu.ifi.dbs.elki.index.tree.IndexTreePath

Returns a string that displays the components of this index path.

toString() - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.AbstractMTree

Returns a string representation of this M-Tree by performing a breadth first enumeration on the tree and adding the string representation of the visited nodes and their entries to the result.

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

Returns a string representation of this entry.

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

Returns a string representation of the object.

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

Returns a string representation of the object.

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

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

toString() - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.strategies.split.distribution.DistanceEntry

Returns a string representation of the object.

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

Returns a string representation of this R*-Tree.

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

Returns the id as a string representation of this entry.

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

Returns the id as a string representation of this entry.

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

toString() - Method in class de.lmu.ifi.dbs.elki.index.vafile.PartialVAFile.PartialVACandidate

toString() - Method in class de.lmu.ifi.dbs.elki.index.vafile.VectorApproximation

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

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

Returns a String representation of the progress suitable as a message for printing to the command line interface.

toString() - Method in interface de.lmu.ifi.dbs.elki.logging.progress.Progress

Returns a String representation of the progress suitable as a message for printing to the command line interface.

toString() - Method in class de.lmu.ifi.dbs.elki.logging.statistics.AbstractStatistic

toString() - Method in class de.lmu.ifi.dbs.elki.math.DoubleMinMax

toString() - Method in class de.lmu.ifi.dbs.elki.math.geodesy.AbstractEarthModel

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

toString() - Method in class de.lmu.ifi.dbs.elki.math.geometry.XYCurve

toString() - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.EigenPair

Returns a string representation of this EigenPair.

toString() - Method in class de.lmu.ifi.dbs.elki.math.Mean

toString() - Method in class de.lmu.ifi.dbs.elki.math.MeanVariance

toString() - Method in class de.lmu.ifi.dbs.elki.math.MeanVarianceMinMax

toString() - Method in class de.lmu.ifi.dbs.elki.math.scales.LinearScale

toString() - Method in class de.lmu.ifi.dbs.elki.math.StatisticalMoments

toString() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.BetaDistribution

toString() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.CauchyDistribution

toString() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.ChiDistribution

toString() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.ChiSquaredDistribution

toString() - Method in interface de.lmu.ifi.dbs.elki.math.statistics.distribution.Distribution

Describe the distribution

toString() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.CauchyMADEstimator

toString() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.EMGOlivierNorbergEstimator

toString() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.ExpGammaExpMOMEstimator

toString() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.ExponentialLMMEstimator

toString() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.ExponentialMADEstimator

toString() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.ExponentialMedianEstimator

toString() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.ExponentialMOMEstimator

toString() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.GammaChoiWetteEstimator

toString() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.GammaLMMEstimator

toString() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.GammaMOMEstimator

toString() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.GeneralizedExtremeValueLMMEstimator

toString() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.GeneralizedLogisticAlternateLMMEstimator

toString() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.GeneralizedParetoLMMEstimator

toString() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.GumbelLMMEstimator

toString() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.GumbelMADEstimator

toString() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.InverseGaussianMLEstimator

toString() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.InverseGaussianMOMEstimator

toString() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.LaplaceLMMEstimator

toString() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.LaplaceMADEstimator

toString() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.LaplaceMLEEstimator

toString() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.LogGammaLogMOMEstimator

toString() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.LogisticLMMEstimator

toString() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.LogisticMADEstimator

toString() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.LogLogisticMADEstimator

toString() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.LogNormalBilkovaLMMEstimator

toString() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.LogNormalLevenbergMarquardtKDEEstimator

toString() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.LogNormalLMMEstimator

toString() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.LogNormalLogMADEstimator

toString() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.LogNormalLogMOMEstimator

toString() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.meta.BestFitEstimator

toString() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.meta.TrimmedEstimator

toString() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.meta.WinsorizingEstimator

toString() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.NormalLevenbergMarquardtKDEEstimator

toString() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.NormalLMMEstimator

toString() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.NormalMADEstimator

toString() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.NormalMOMEstimator

toString() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.RayleighLMMEstimator

toString() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.RayleighMADEstimator

toString() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.RayleighMLEEstimator

toString() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.SkewGNormalLMMEstimator

toString() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.UniformEnhancedMinMaxEstimator

toString() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.UniformLMMEstimator

toString() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.UniformMADEstimator

toString() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.UniformMinMaxEstimator

toString() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.WeibullLMMEstimator

toString() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.WeibullLogMADEstimator

toString() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.ExpGammaDistribution

Simple toString explaining the distribution parameters.

toString() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.ExponentialDistribution

toString() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.ExponentiallyModifiedGaussianDistribution

toString() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.GammaDistribution

Simple toString explaining the distribution parameters.

toString() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.GeneralizedExtremeValueDistribution

toString() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.GeneralizedLogisticAlternateDistribution

toString() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.GeneralizedLogisticDistribution

toString() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.GeneralizedParetoDistribution

toString() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.GumbelDistribution

toString() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.HaltonUniformDistribution

toString() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.InverseGaussianDistribution

toString() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.KappaDistribution

toString() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.LaplaceDistribution

toString() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.LogGammaDistribution

Simple toString explaining the distribution parameters.

toString() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.LogisticDistribution

toString() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.LogLogisticDistribution

toString() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.LogNormalDistribution

toString() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.NormalDistribution

toString() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.PoissonDistribution

toString() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.RayleighDistribution

toString() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.SkewGeneralizedNormalDistribution

toString() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.StudentsTDistribution

toString() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.UniformDistribution

toString() - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.WeibullDistribution

toString() - Method in class de.lmu.ifi.dbs.elki.math.statistics.MultipleLinearRegression

Returns a string representation of the object.

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

Returns a string representation of the object.

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

Returns a string representation of this cache.

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

Convert bitset to a string consisting of "0" and "1", in high-endian order.

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

Convert bitset to a string consisting of "0" and "1", in high-endian order.

toString(long) - Static method in class de.lmu.ifi.dbs.elki.utilities.datastructures.BitsUtil

Convert bitset to a string consisting of "0" and "1", in high-endian order.

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

Convert the bitset into a decimal representation, e.g.

toString() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.ComparableMaxHeap

toString() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.ComparableMinHeap

toString() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.ComparatorMaxHeap

toString() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.ComparatorMinHeap

toString() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleIntegerMaxHeap

toString() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleIntegerMinHeap

toString() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleLongMaxHeap

toString() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleLongMinHeap

toString() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleMaxHeap

toString() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleMinHeap

toString() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleObjectMaxHeap

toString() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleObjectMinHeap

toString() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerMaxHeap

toString() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerMinHeap

toString() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerObjectMaxHeap

toString() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerObjectMinHeap

toString() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.range.CombinedIntGenerator

toString() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.range.ExponentialIntGenerator

toString() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.range.LinearIntGenerator

toString() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.range.StaticIntGenerator

toString() - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.OptionID

Returns the name of this OptionID.

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

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

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

toString() - Method in class de.lmu.ifi.dbs.elki.utilities.pairs.DoubleObjPair

Canonical toString operator

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

Returns first and second value.

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

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

Canonical toString operator

toString() - Method in class de.lmu.ifi.dbs.elki.utilities.random.RandomFactory

toString() - Method in class de.lmu.ifi.dbs.elki.visualization.gui.overview.PlotItem

toString() - Method in class de.lmu.ifi.dbs.elki.visualization.projections.CanvasSize

toString() - Method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPath

Return the SVG serialization of the path.

toString() - Method in class de.lmu.ifi.dbs.elki.visualization.VisualizationTask

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

Convert bitset to a string consisting of "0" and "1", in low-endian order.

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

Convert bitset to a string consisting of "0" and "1", in low-endian order.

toStringLow(long) - Static method in class de.lmu.ifi.dbs.elki.utilities.datastructures.BitsUtil

Convert bitset to a string consisting of "0" and "1", in low-endian order.

total - Variable in class de.lmu.ifi.dbs.elki.logging.progress.FiniteProgress

The overall number of items to process.

total - Variable in class de.lmu.ifi.dbs.elki.logging.progress.MutableProgress

The overall number of items to process.

total - Variable in class de.lmu.ifi.dbs.elki.result.FrequentItemsetsResult

Total number of transactions.

TOTAL_PIVOT_SEARCH - Static variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.LinearEquationSystem

Indicates total pivot search strategy.

totalElements() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.extraction.HDBSCANHierarchyExtraction.TempCluster

Total number of elements in this subtree.

totalInstances() - Method in class de.lmu.ifi.dbs.elki.evaluation.classification.ConfusionMatrix

The total number of instances covered by this confusion matrix.

totalLength - Variable in class de.lmu.ifi.dbs.elki.logging.progress.FiniteProgress

Holds the length of a String describing the total number.

totalLength(double[][]) - Method in class de.lmu.ifi.dbs.elki.math.statistics.tests.StandardizedTwoSampleAndersonDarlingTest

Total length of a set of Samples.

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

Total number of objects

totalPivotSearch(int) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.LinearEquationSystem

Method for total pivot search, searches for x,y in {k,...n}, so that |a_xy| > |a_ij|

totalStability() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.extraction.HDBSCANHierarchyExtraction.TempCluster

Excess of mass measure.

totalTransactions - Variable in class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.associationrules.AssociationRuleGeneration.Instance

Total number of transactions, needed by some measures.

tql2() - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.EigenvalueDecomposition

Symmetric tridiagonal QL algorithm.

tql2ComputeImplicitShift(int) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.EigenvalueDecomposition

tql2ImplicitQL(int, int, double) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.EigenvalueDecomposition

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

Class containing an object, and the associated value.

TrackedParameter(Object, Parameter<?>) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.TrackedParameter

Constructor.

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

Utility wrapper to track parameters for a configuration session.

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

Constructor.

TrackParameters(Parameterization, Object) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.TrackParameters

Constructor.

TrackParameters(Parameterization, Object, List<TrackedParameter>, Map<Object, Object>, Map<Object, List<Object>>) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.TrackParameters

Internal constructor, for nested tracking.

TRAILING_CHARACTERS - Static variable in class de.lmu.ifi.dbs.elki.utilities.io.ParseUtil

Preallocated exceptions.

training - Variable in class de.lmu.ifi.dbs.elki.evaluation.classification.holdout.TrainingAndTestSet

The training data.

TrainingAndTestSet - Class in de.lmu.ifi.dbs.elki.evaluation.classification.holdout

Wrapper to hold a pair of training and test data sets.

TrainingAndTestSet(MultipleObjectsBundle, MultipleObjectsBundle, ArrayList<ClassLabel>) - Constructor for class de.lmu.ifi.dbs.elki.evaluation.classification.holdout.TrainingAndTestSet

Provides a pair of training and test data sets out of the given two databases.

trans - Variable in class de.lmu.ifi.dbs.elki.data.synthetic.bymodel.GeneratorSingleCluster

The transformation matrix

trans - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.AffineTransformation

The transformation matrix of dim+1 x dim+1 for homogeneous coordinates

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

Transcode a document into a file using the given transcoder.

transfer(WritableDataStore<SameSizeKMeansAlgorithm<V>.Meta>, SameSizeKMeansAlgorithm<V>.Meta, ModifiableDBIDs, ModifiableDBIDs, DBIDRef, int) - Method in class tutorial.clustering.SameSizeKMeansAlgorithm

Transfer a single element from one cluster to another.

transform(LinearEquationSystem) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise.AttributeWiseBetaNormalization

transform(LinearEquationSystem) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise.AttributeWiseMeanNormalization

transform(LinearEquationSystem) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise.AttributeWiseMinMaxNormalization

transform(LinearEquationSystem) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise.AttributeWiseVarianceNormalization

transform(LinearEquationSystem) - Method in interface de.lmu.ifi.dbs.elki.datasource.filter.normalization.Normalization

Transforms a linear equation system describing linear dependencies derived on the normalized space into a linear equation system describing linear dependencies quantitatively adapted to the original space.

transform(double) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.adapter.AbstractSimilarityAdapter.Instance

Transformation function.

transform(double) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.adapter.ArccosSimilarityAdapter.Instance

transform(double) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.adapter.LinearAdapterLinear.Instance

transform(double) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.adapter.LnSimilarityAdapter.Instance

transformScores(WritableDoubleDataStore, DBIDs, double, double) - Static method in class de.lmu.ifi.dbs.elki.algorithm.outlier.intrinsic.ISOS

Transform scores

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

Transpose vector to a matrix without copying.

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

Matrix transpose

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

Matrix multiplication with diagonal, m1^T * d2 * m3

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

Vector to matrix multiplication, v1^T m2.

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

Vector scalar product (dot product), v1^T v2 = v1·v2 = <v1,v2>.

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

Transposed matrix with vector multiplication, m1^T * v2

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

Matrix multiplication, m1^T * m2

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

Matrix multiplication, v1^T * m2 * v3

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

Matrix multiplication, m1^T * m2^T.

tred2() - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.EigenvalueDecomposition

Symmetric Householder reduction to tridiagonal form.

tred2AccumulateTransformations() - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.EigenvalueDecomposition

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

Tree.

tree - Variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.query.RStarTreeKNNQuery

The index to use

tree - Variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.query.RStarTreeRangeQuery

The index to use

tree - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.index.RTreeParallelVisualization.Instance

The tree we visualize

tree - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.index.TreeMBRVisualization.Instance

The tree we visualize

tree - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.index.TreeSphereVisualization.Instance

The tree we visualize

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

Border of the popup.

TreeIndexHeader - Class in de.lmu.ifi.dbs.elki.index.tree

Encapsulates the header information of a tree-like index structure.

TreeIndexHeader() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.TreeIndexHeader

Empty constructor for serialization.

TreeIndexHeader(int, int, int, int, int) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.TreeIndexHeader

Creates a new header with the specified parameters.

TreeMBRVisualization - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.index

Visualize the bounding rectangles of an R-Tree based index.

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

Constructor.

TreeMBRVisualization.Instance<N extends AbstractRStarTreeNode<N,E>,E extends SpatialEntry> - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.index

Instance for a particular tree

TreeMBRVisualization.Parameterizer - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.index

Parameterization class.

TreeNode(int, int) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.birch.CFTree.TreeNode

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

Popup menu that contains a JTree.

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

Constructor with an empty tree model.

TreePopup(TreeModel) - Constructor for class de.lmu.ifi.dbs.elki.gui.util.TreePopup

Constructor.

TreePopup.Handler - Class in de.lmu.ifi.dbs.elki.gui.util

Event handler class.

TreePopup.Renderer - Class in de.lmu.ifi.dbs.elki.gui.util

Tree cell render.

TreeSphereVisualization - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.index

Visualize the bounding sphere of a metric index.

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

Constructor.

TreeSphereVisualization.Instance<N extends AbstractMTreeNode<?,N,E>,E extends MTreeEntry> - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.index

Instance for a particular tree.

TreeSphereVisualization.Mode - Enum in de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.index

Drawing modes.

TreeSphereVisualization.Parameterizer - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.index

Parameterization class.

tresolution - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.thumbs.ThumbnailVisualization

Thumbnail resolution

trials - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.BestOfMultipleKMeans.Parameterizer

Number of trials to perform.

trials - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.BestOfMultipleKMeans

Number of trials to do.

TRIALS_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.BestOfMultipleKMeans.Parameterizer

Parameter to specify the iterations of the bisecting step.

Triangle(int, int, int) - Constructor for class de.lmu.ifi.dbs.elki.math.geometry.SweepHullDelaunay2D.Triangle

Constructor.

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

Size of this class' header

triangleSize(int) - Static method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.MatrixParadigm

Compute the size of a complete x by x triangle (minus diagonal)

triangleSize(int) - Static method in class de.lmu.ifi.dbs.elki.index.distancematrix.PrecomputedDistanceMatrix

Compute the size of a complete x by x triangle (minus diagonal)

triangleSize(int) - Static method in class de.lmu.ifi.dbs.elki.index.distancematrix.PrecomputedSimilarityMatrix

Compute the size of a complete x by x triangle (minus diagonal)

triangleSize(int) - Static method in class tutorial.clustering.NaiveAgglomerativeHierarchicalClustering2

Compute the size of a complete x by x triangle (minus diagonal)

triangleSize(int) - Static method in class tutorial.clustering.NaiveAgglomerativeHierarchicalClustering3

Compute the size of a complete x by x triangle (minus diagonal)

triangleSize(int) - Static method in class tutorial.clustering.NaiveAgglomerativeHierarchicalClustering4

Compute the size of a complete x by x triangle (minus diagonal)

TriangularDiscriminationDistanceFunction - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.probabilistic

Triangular Discrimination has relatively tight upper and lower bounds to the Jensen-Shannon divergence, but is much less expensive.

TriangularDiscriminationDistanceFunction() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.probabilistic.TriangularDiscriminationDistanceFunction

Deprecated.

Use static instance!

TriangularDiscriminationDistanceFunction.Parameterizer - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.probabilistic

Parameterization class, using the static instance.

TriangularDistanceFunction - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.probabilistic

Triangular Distance has relatively tight upper and lower bounds to the (square root of the) Jensen-Shannon divergence, but is much less expensive.

TriangularDistanceFunction() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.probabilistic.TriangularDistanceFunction

Deprecated.

TriangularDistanceFunction.Parameterizer - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.probabilistic

Parameterization class, using the static instance.

TriangularKernelDensityFunction - Class in de.lmu.ifi.dbs.elki.math.statistics.kernelfunctions

Triangular kernel density estimator.

TriangularKernelDensityFunction() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.kernelfunctions.TriangularKernelDensityFunction

Private, empty constructor.

TriangularKernelDensityFunction.Parameterizer - Class in de.lmu.ifi.dbs.elki.math.statistics.kernelfunctions

Parameterization stub.

TricubeKernelDensityFunction - Class in de.lmu.ifi.dbs.elki.math.statistics.kernelfunctions

Tricube kernel density estimator.

TricubeKernelDensityFunction() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.kernelfunctions.TricubeKernelDensityFunction

Private, empty constructor.

TricubeKernelDensityFunction.Parameterizer - Class in de.lmu.ifi.dbs.elki.math.statistics.kernelfunctions

Parameterization stub.

trigamma(double) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.GammaDistribution

Compute the Trigamma function.

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

When a subplot was selected, forward the event to listeners.

trim - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.meta.TrimmedEstimator.Parameterizer

Amount of data to trim.

trim - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.meta.TrimmedEstimator

Amount of data to trim.

TRIM_ID - Static variable in class de.lmu.ifi.dbs.elki.datasource.parser.StringParser.Parameterizer

Flag to trim whitespace.

TRIM_ID - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.meta.TrimmedEstimator.Parameterizer

Option for specifying the amount of data to trim.

TrimmedEstimator<D extends Distribution> - Class in de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.meta

Trimmed wrapper around other estimators.

TrimmedEstimator(DistributionEstimator<D>, double) - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.meta.TrimmedEstimator

Constructor.

TrimmedEstimator.Parameterizer<D extends Distribution> - Class in de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.meta

Parameterization class.

TrimmedMeanApproach<N> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.spatial

A Trimmed Mean Approach to Finding Spatial Outliers.

TrimmedMeanApproach(NeighborSetPredicate.Factory<N>, double) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.TrimmedMeanApproach

Constructor.

TrimmedMeanApproach.Parameterizer<N> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.spatial

Parameterizer.

trimWhitespace - Variable in class de.lmu.ifi.dbs.elki.datasource.parser.StringParser.Parameterizer

Flag to trim whitespace.

trimWhitespace - Variable in class de.lmu.ifi.dbs.elki.datasource.parser.StringParser

Flag to trim whitespace.

tris - Variable in class de.lmu.ifi.dbs.elki.math.geometry.SweepHullDelaunay2D

Triangles

TRIVAL_PIVOT_SEARCH - Static variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.LinearEquationSystem

Indicates trivial pivot search strategy.

TrivialAllInOne - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.trivial

Trivial pseudo-clustering that just considers all points to be one big cluster.

TrivialAllInOne() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.trivial.TrivialAllInOne

Constructor.

TrivialAllNoise - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.trivial

Trivial pseudo-clustering that just considers all points to be noise.

TrivialAllNoise() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.trivial.TrivialAllNoise

Constructor.

TrivialAllOutlier - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.trivial

Trivial method that claims all objects to be outliers.

TrivialAllOutlier() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.trivial.TrivialAllOutlier

Constructor.

TrivialAverageCoordinateOutlier - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.trivial

Trivial method that takes the average of all dimensions (for one-dimensional data that is just the actual value!)

TrivialAverageCoordinateOutlier() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.trivial.TrivialAverageCoordinateOutlier

Constructor.

TrivialDBIDFactory - Class in de.lmu.ifi.dbs.elki.database.ids.integer

Trivial DBID management, that never reuses IDs and just gives them out in sequence.

TrivialDBIDFactory() - Constructor for class de.lmu.ifi.dbs.elki.database.ids.integer.TrivialDBIDFactory

Constructor.

TrivialGeneratedOutlier - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.trivial

Extract outlier score from the model the objects were generated by.

TrivialGeneratedOutlier(double) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.trivial.TrivialGeneratedOutlier

Constructor.

TrivialGeneratedOutlier() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.trivial.TrivialGeneratedOutlier

Constructor.

TrivialGeneratedOutlier.Parameterizer - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.trivial

Parameterization class.

TrivialNoOutlier - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.trivial

Trivial method that claims to find no outliers.

TrivialNoOutlier() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.trivial.TrivialNoOutlier

Constructor.

trivialPartition(List<T>, int, int) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.bulk.AbstractBulkSplit

Perform the trivial partitioning of the given list.

TriweightKernelDensityFunction - Class in de.lmu.ifi.dbs.elki.math.statistics.kernelfunctions

Triweight kernel density estimator.

TriweightKernelDensityFunction() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.kernelfunctions.TriweightKernelDensityFunction

Private, empty constructor.

TriweightKernelDensityFunction.Parameterizer - Class in de.lmu.ifi.dbs.elki.math.statistics.kernelfunctions

Parameterization stub.

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

True bit.

trueNegatives(int) - Method in class de.lmu.ifi.dbs.elki.evaluation.classification.ConfusionMatrix

The number of true negatives of the specified class.

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

trueOutliers function updates n_star

truePositiveRate() - Method in class de.lmu.ifi.dbs.elki.evaluation.classification.ConfusionMatrix

Provides the true positive rate.

truePositiveRate(int) - Method in class de.lmu.ifi.dbs.elki.evaluation.classification.ConfusionMatrix

Provides the true positive rate for the specified class.

truePositives() - Method in class de.lmu.ifi.dbs.elki.evaluation.classification.ConfusionMatrix

The number of correctly classified instances.

truePositives(int) - Method in class de.lmu.ifi.dbs.elki.evaluation.classification.ConfusionMatrix

The number of correctly classified instances belonging to the specified class.

truncate(int) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDArrayList

Truncate the list to the given size, freeing the memory.

truncate - Variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.covertree.AbstractCoverTree.Factory.Parameterizer

Truncate the tree.

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

Truncate tree at this height.

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

Stop refining the tree at this size, but build a leaf.

TRUNCATE_ID - Static variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.covertree.AbstractCoverTree.Factory.Parameterizer

Truncate branches when they have less than this number of instances.

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

Truncate a bit string to the given length (setting any higher bit to 0).

tryAlternateNames(Class<? super C>, String, ELKIServiceRegistry.Entry) - Static method in class de.lmu.ifi.dbs.elki.utilities.ELKIServiceRegistry

Try loading alternative names.

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

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

Handle default values for a parameter.

tryGzipInput(InputStream) - Static method in class de.lmu.ifi.dbs.elki.utilities.io.FileUtil

Try to open a stream as gzip, if it starts with the gzip magic.

tryInstantiate(Class<C>, Class<?>, Parameterization) - Static method in class de.lmu.ifi.dbs.elki.utilities.ClassGenericsUtil

Instantiate a parameterizable class.

tryInstantiate(Class<C>) - Method in interface de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.Parameterization

Try to instantiate a particular class.

tryLoadClass(String) - Static method in class de.lmu.ifi.dbs.elki.utilities.ELKIServiceRegistry

Attempt to load a class

TSNE<O> - Class in de.lmu.ifi.dbs.elki.algorithm.projection

t-Stochastic Neighbor Embedding is a projection technique designed for visualization that tries to preserve the nearest neighbor structure.

TSNE(AffinityMatrixBuilder<? super O>, int, RandomFactory) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.projection.TSNE

Constructor with default values.

TSNE(AffinityMatrixBuilder<? super O>, int, double, double, int, RandomFactory, boolean) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.projection.TSNE

Constructor.

TSNE.Parameterizer<O> - Class in de.lmu.ifi.dbs.elki.algorithm.projection

Parameterization class.

tutorial.clustering - package tutorial.clustering

Classes from the tutorial on implementing a custom k-means variation

tutorial.distancefunction - package tutorial.distancefunction

Classes from the tutorial on implementing distance functions

tutorial.javaapi - package tutorial.javaapi

Examples how to invoke ELKI from Java.

tutorial.outlier - package tutorial.outlier

Tutorials on implementing outlier detection methods in ELKI.

TutorialDistanceFunction - Class in tutorial.distancefunction

Tutorial distance function example for ELKI.

TutorialDistanceFunction() - Constructor for class tutorial.distancefunction.TutorialDistanceFunction

twidth - Variable in class de.lmu.ifi.dbs.elki.visualization.gui.overview.RectangleArranger

Width

TWO_HEAP_INITIAL_SIZE - Static variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.ComparableMaxHeap

Initial size of the 2-ary heap.

TWO_HEAP_INITIAL_SIZE - Static variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.ComparableMinHeap

Initial size of the 2-ary heap.

TWO_HEAP_INITIAL_SIZE - Static variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.ComparatorMaxHeap

Initial size of the 2-ary heap.

TWO_HEAP_INITIAL_SIZE - Static variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.ComparatorMinHeap

Initial size of the 2-ary heap.

TWO_HEAP_INITIAL_SIZE - Static variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleIntegerMaxHeap

Initial size of the 2-ary heap.

TWO_HEAP_INITIAL_SIZE - Static variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleIntegerMinHeap

Initial size of the 2-ary heap.

TWO_HEAP_INITIAL_SIZE - Static variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleLongMaxHeap

Initial size of the 2-ary heap.

TWO_HEAP_INITIAL_SIZE - Static variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleLongMinHeap

Initial size of the 2-ary heap.

TWO_HEAP_INITIAL_SIZE - Static variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleMaxHeap

Initial size of the 2-ary heap.

TWO_HEAP_INITIAL_SIZE - Static variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleMinHeap

Initial size of the 2-ary heap.

TWO_HEAP_INITIAL_SIZE - Static variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleObjectMaxHeap

Initial size of the 2-ary heap.

TWO_HEAP_INITIAL_SIZE - Static variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleObjectMinHeap

Initial size of the 2-ary heap.

TWO_HEAP_INITIAL_SIZE - Static variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerMaxHeap

Initial size of the 2-ary heap.

TWO_HEAP_INITIAL_SIZE - Static variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerMinHeap

Initial size of the 2-ary heap.

TWO_HEAP_INITIAL_SIZE - Static variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerObjectMaxHeap

Initial size of the 2-ary heap.

TWO_HEAP_INITIAL_SIZE - Static variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerObjectMinHeap

Initial size of the 2-ary heap.

twoheap - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.ComparableMaxHeap

Base heap.

twoheap - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.ComparableMinHeap

Base heap.

twoheap - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.ComparatorMaxHeap

Base heap.

twoheap - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.ComparatorMinHeap

Base heap.

twoheap - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleIntegerMaxHeap

Base heap.

twoheap - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleIntegerMinHeap

Base heap.

twoheap - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleLongMaxHeap

Base heap.

twoheap - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleLongMinHeap

Base heap.

twoheap - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleMaxHeap

Base heap.

twoheap - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleMinHeap

Base heap.

twoheap - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleObjectMaxHeap

Base heap.

twoheap - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleObjectMinHeap

Base heap.

twoheap - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerMaxHeap

Base heap.

twoheap - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerMinHeap

Base heap.

twoheap - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerObjectMaxHeap

Base heap.

twoheap - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerObjectMinHeap

Base heap.

TwoPassMultivariateGaussianModel - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.em

Model for a single Gaussian cluster, using two-passes for slightly better numerics.

TwoPassMultivariateGaussianModel(double, double[]) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.em.TwoPassMultivariateGaussianModel

Constructor.

TwoPassMultivariateGaussianModel(double, double[], double[][]) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.em.TwoPassMultivariateGaussianModel

Constructor.

TwoPassMultivariateGaussianModelFactory<V extends NumberVector> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.em

Factory for EM with multivariate Gaussian models (with covariance; also known as Gaussian Mixture Modeling, GMM).

TwoPassMultivariateGaussianModelFactory(KMeansInitialization) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.em.TwoPassMultivariateGaussianModelFactory

Constructor.

TwoPassMultivariateGaussianModelFactory.Parameterizer<V extends NumberVector> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.em

Parameterization class

TWOPI - Static variable in class de.lmu.ifi.dbs.elki.math.MathUtil

Two times Pi.

twovals - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleIntegerMaxHeap

Base heap values.

twovals - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleIntegerMinHeap

Base heap values.

twovals - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleLongMaxHeap

Base heap values.

twovals - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleLongMinHeap

Base heap values.

twovals - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleObjectMaxHeap

Base heap values.

twovals - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleObjectMinHeap

Base heap values.

twovals - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerObjectMaxHeap

Base heap values.

twovals - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerObjectMinHeap

Base heap values.

TYPE - Static variable in class de.lmu.ifi.dbs.elki.data.Clustering

Type information, for relation matching.

TYPE - Static variable in interface de.lmu.ifi.dbs.elki.data.FeatureVector

Input type: Any feature vector type.

TYPE - Static variable in class de.lmu.ifi.dbs.elki.data.HierarchicalClassLabel

Type information.

TYPE - Static variable in interface de.lmu.ifi.dbs.elki.data.model.Model

Type information, for relation selection.

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

Type information.

Type() - Constructor for enum de.lmu.ifi.dbs.elki.database.DatabaseEventManager.Type

type - Variable in class de.lmu.ifi.dbs.elki.database.relation.MaterializedRelation

The class of objects we store.

TYPE - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.strings.LevenshteinDistanceFunction

Input data type.

type - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.KNNChangeEvent

Holds the type of this change event.

Type() - Constructor for enum de.lmu.ifi.dbs.elki.index.preprocessed.knn.KNNChangeEvent.Type

TypeInformation - Interface in de.lmu.ifi.dbs.elki.data.type

Class wrapping a particular data type.

TypeInformationSerializer - Class in de.lmu.ifi.dbs.elki.data.type

Class to handle the serialization and deserialization of type information.

TypeInformationSerializer() - Constructor for class de.lmu.ifi.dbs.elki.data.type.TypeInformationSerializer

TypeInformationSerializer.SimpleTypeSerializer - Class in de.lmu.ifi.dbs.elki.data.type

Serialization class for pure simple types.

TypeInformationSerializer.VectorFieldTypeSerializer - Class in de.lmu.ifi.dbs.elki.data.type

Serialization class for field vector types.

TypeInformationSerializer.VectorTypeSerializer - Class in de.lmu.ifi.dbs.elki.data.type

Serialization class for non-field vector types.

typeRequest(Class<? super V>) - Static method in class de.lmu.ifi.dbs.elki.data.type.MultivariateSeriesTypeInformation

Constructor for a type request without dimensionality constraints.

typeRequest(Class<? super V>) - Static method in class de.lmu.ifi.dbs.elki.data.type.VectorFieldTypeInformation

Constructor for a type request without dimensionality constraints.

typeRequest(Class<? super V>, int, int) - Static method in class de.lmu.ifi.dbs.elki.data.type.VectorFieldTypeInformation

Constructor for a type request with dimensionality constraints.

typeRequest(Class<? super V>) - Static method in class de.lmu.ifi.dbs.elki.data.type.VectorTypeInformation

Constructor for a type request without dimensionality constraints.

typeRequest(Class<? super V>, int, int) - Static method in class de.lmu.ifi.dbs.elki.data.type.VectorTypeInformation

Constructor for a type request with dimensionality constraints.

types - Variable in exception de.lmu.ifi.dbs.elki.data.type.NoSupportedDataTypeException

Available types

TypeUtil - Class in de.lmu.ifi.dbs.elki.data.type

Utility package containing various common types.

TypeUtil() - Constructor for class de.lmu.ifi.dbs.elki.data.type.TypeUtil

Fake Constructor.

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