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

P

p - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.AbstractHDBSCAN.HDBSCANAdapter

Iterators for accessing the data objects.

p - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.distance.DBOutlierDetection

Density threshold percentage p.

p - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.distance.DBOutlierDetection.Parameterizer

Density threshold p.

p - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.TrimmedMeanApproach

the parameter p.

p - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.TrimmedMeanApproach.Parameterizer

Percentile parameter p.

p - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.LPIntegerNormDistanceFunction.Parameterizer

The value of p.

p - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.LPNormDistanceFunction

p parameter and its inverse.

p - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.LPNormDistanceFunction.Parameterizer

The value of p.

p - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.SparseLPNormDistanceFunction

P parameter and its inverse.

p - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.SparseLPNormDistanceFunction.Parameterizer

Value for p

p - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.SubspaceLPNormDistanceFunction

Value of p

p - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.SubspaceLPNormDistanceFunction.Parameterizer

Value of p.

p - Variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppTreeSettings

Parameter p.

p - Variable in class de.lmu.ifi.dbs.elki.index.vafile.PartialVAFile.PartialVAFileKNNQuery

Lp-Norm p.

p - Variable in class de.lmu.ifi.dbs.elki.index.vafile.PartialVAFile.PartialVAFileRangeQuery

Lp-Norm p.

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

LP Norm p parameter.

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

LP Norm p parameter.

p - Variable in class de.lmu.ifi.dbs.elki.math.random.XorShift1024NonThreadsafeRandom

For rotating amongst states

p - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.PoissonDistribution

Success probability

p - Variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.PoissonDistribution.Parameterizer

Success probability.

p - Variable in class de.lmu.ifi.dbs.elki.math.statistics.PolynomialRegression

The order of the polynom.

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

Projector used

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

Projector

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

P3C<V extends NumberVector> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.subspace

P3C: A Robust Projected Clustering Algorithm.

P3C(double, double, int, double, int) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.P3C

Constructor.

P3C.ClusterCandidate - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.subspace

This class is used to represent potential clusters.

P3C.Parameterizer<V extends NumberVector> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.subspace

Parameterization class.

P3C.Signature - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.subspace

P3C Cluster signature.

P_HIGH - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.NormalDistribution

Treshold for switching nethods for erfinv approximation

P_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.distance.DBOutlierDetection.Parameterizer

Parameter to specify the minimum fraction of objects that must be outside the D- neighborhood of an outlier

P_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.TrimmedMeanApproach.Parameterizer

Parameter for the percentile value p.

P_ID - Static variable in class de.lmu.ifi.dbs.elki.datasource.filter.transform.AbstractSupervisedProjectionVectorFilter.Parameterizer

The number of dimensions to keep.

P_ID - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.LPNormDistanceFunction.Parameterizer

OptionID for the "p" parameter

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

Parameter for p

P_LOW - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.NormalDistribution

Treshold for switching nethods for erfinv approximation

PACKAGE - Static variable in class de.lmu.ifi.dbs.elki.gui.icons.StockIcon

PackageNode(String, String) - Constructor for class de.lmu.ifi.dbs.elki.gui.util.ClassTree.PackageNode

Current class name.

pad(String, int) - Static method in class de.lmu.ifi.dbs.elki.utilities.FormatUtil

Pad a string to a given length by adding whitespace to the right.

padRightAligned(String, int) - Static method in class de.lmu.ifi.dbs.elki.utilities.FormatUtil

Pad a string to a given length by adding whitespace to the left.

Page - Interface in de.lmu.ifi.dbs.elki.persistent

Defines the requirements for objects that can be stored in a cache and can be persistently saved.

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

Page

PAGE_SIZE_ID - Static variable in class de.lmu.ifi.dbs.elki.persistent.AbstractPageFileFactory.Parameterizer

Parameter to specify the size of a page in bytes, must be an integer greater than 0.

pageclass - Variable in class de.lmu.ifi.dbs.elki.persistent.PersistentPageFile

The type of pages we use.

PagedIndexFactory<O,I extends Index> - Class in de.lmu.ifi.dbs.elki.index

Abstract base class for tree-based indexes.

PagedIndexFactory(PageFileFactory<?>) - Constructor for class de.lmu.ifi.dbs.elki.index.PagedIndexFactory

Constructor.

PagedIndexFactory.Parameterizer<O> - Class in de.lmu.ifi.dbs.elki.index

Parameterization class.

PageFile<P extends Page> - Interface in de.lmu.ifi.dbs.elki.persistent

Page file interface.

PAGEFILE_ID - Static variable in class de.lmu.ifi.dbs.elki.index.PagedIndexFactory.Parameterizer

Optional parameter that specifies the factory type of pagefile to use for the index.

PAGEFILE_ID - Static variable in class de.lmu.ifi.dbs.elki.persistent.LRUCachePageFileFactory.Parameterizer

Parameter to specify the inner pagefile.

pageFileFactory - Variable in class de.lmu.ifi.dbs.elki.index.PagedIndexFactory

Page file factory.

pageFileFactory - Variable in class de.lmu.ifi.dbs.elki.index.PagedIndexFactory.Parameterizer

Page file factory.

pageFileFactory - Variable in class de.lmu.ifi.dbs.elki.persistent.LRUCachePageFileFactory

Inner page file factory.

pageFileFactory - Variable in class de.lmu.ifi.dbs.elki.persistent.LRUCachePageFileFactory.Parameterizer

Inner page file factory.

PageFileFactory<P extends Page> - Interface in de.lmu.ifi.dbs.elki.persistent

Factory interface for generating page files.

PageHeader - Interface in de.lmu.ifi.dbs.elki.persistent

Defines the requirements for a header of a persistent page file.

pagesize - Variable in class de.lmu.ifi.dbs.elki.index.vafile.PartialVAFile.Factory

Page size.

pagesize - Variable in class de.lmu.ifi.dbs.elki.index.vafile.PartialVAFile.Factory.Parameterizer

Page size.

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

Page size.

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

Page size.

pagesize - Variable in class de.lmu.ifi.dbs.elki.index.vafile.VAFile.Factory.Parameterizer

Page size.

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

Page size, for estimating the VA file size.

pageSize - Variable in class de.lmu.ifi.dbs.elki.persistent.AbstractPageFileFactory

Holds the value of AbstractPageFileFactory.Parameterizer.PAGE_SIZE_ID.

pageSize - Variable in class de.lmu.ifi.dbs.elki.persistent.AbstractPageFileFactory.Parameterizer

Page size

pageSize - Variable in class de.lmu.ifi.dbs.elki.persistent.AbstractStoringPageFile

The size of a page in Bytes.

pageSize - Variable in class de.lmu.ifi.dbs.elki.persistent.DefaultPageHeader

The size of a page in bytes.

pageToByteArray(P) - Method in class de.lmu.ifi.dbs.elki.persistent.OnDiskArrayPageFile

Serializes an object into a byte array.

pageToByteArray(P) - Method in class de.lmu.ifi.dbs.elki.persistent.PersistentPageFile

Serializes an object into a byte array.

Pair<FIRST,SECOND> - Class in de.lmu.ifi.dbs.elki.utilities.pairs

Simple class wrapping two objects.

Pair(FIRST, SECOND) - Constructor for class de.lmu.ifi.dbs.elki.utilities.pairs.Pair

Initialize pair

pairconfuse - Variable in class de.lmu.ifi.dbs.elki.evaluation.clustering.PairCounting

Pair counting confusion matrix (flat: inBoth, inFirst, inSecond, inNone)

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

Pair counting measures

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

Pair-counting measures.

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

Constructor.

pairsize - Variable in class de.lmu.ifi.dbs.elki.evaluation.clustering.pairsegments.Segment

Size of cluster, in pairs.

palpha - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.ProgressiveEigenPairFilter

The threshold for strong eigenvectors: the strong eigenvectors explain a portion of at least alpha of the total variance.

palpha - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.ProgressiveEigenPairFilter.Parameterizer

The threshold for strong eigenvectors: the strong eigenvectors explain a portion of at least alpha of the total variance.

PAMInitialMeans<O> - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.initialization

PAM initialization for k-means (and of course, PAM).

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

Constructor.

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

Parameterization class.

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

We need a panel to put our components on.

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

We need a panel to put our components on.

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

The panel to store the components

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

The main panel.

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

We need a panel to put our components on.

panel - Variable in class de.lmu.ifi.dbs.elki.gui.util.ParameterTable.DropdownEditor

We need a panel to ensure focusing.

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

We need a panel to put our components on.

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

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

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

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

Called when an observed panel changes.

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

Generates a SVG-Element containing axes, including labeling.

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

Constructor.

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

Instance.

ParallelCore - Class in de.lmu.ifi.dbs.elki.parallel

Core for parallel processing in ELKI, based on ThreadPoolExecutor.

ParallelCore(int) - Constructor for class de.lmu.ifi.dbs.elki.parallel.ParallelCore

Constructor.

ParallelExecutor - Class in de.lmu.ifi.dbs.elki.parallel

Class to run processors in parallel, on all available cores.

ParallelExecutor() - Constructor for class de.lmu.ifi.dbs.elki.parallel.ParallelExecutor

ParallelExecutor.BlockArrayRunner - Class in de.lmu.ifi.dbs.elki.parallel

Run for an array part, without step size.

ParallelKNNOutlier<O> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.distance.parallel

Parallel implementation of KNN Outlier detection.

ParallelKNNOutlier(DistanceFunction<? super O>, int) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.distance.parallel.ParallelKNNOutlier

Constructor.

ParallelKNNOutlier.Parameterizer<O> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.distance.parallel

Parameterization class

ParallelKNNWeightOutlier<O> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.distance.parallel

Parallel implementation of KNN Weight Outlier detection.

ParallelKNNWeightOutlier(DistanceFunction<? super O>, int) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.distance.parallel.ParallelKNNWeightOutlier

Constructor.

ParallelKNNWeightOutlier.Parameterizer<O> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.distance.parallel

Parameterization class

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

Parallel implementation of k-Means clustering.

ParallelLloydKMeans(NumberVectorDistanceFunction<? super V>, int, int, KMeansInitialization<? super V>) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.parallel.ParallelLloydKMeans

Constructor.

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

Parameterization class

ParallelLOF<O> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.lof.parallel

Parallel implementation of Local Outlier Factor using processors.

ParallelLOF(DistanceFunction<? super O>, int) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.parallel.ParallelLOF

Constructor.

ParallelLOF.Parameterizer<O> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.lof.parallel

Parameterization class

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

Produce parallel axes projections.

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

Constructor.

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

ParallelPlotProjector is responsible for producing a parallel axes visualization.

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

Constructor.

ParallelSimplifiedLOF<O> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.lof.parallel

Parallel implementation of Simplified-LOF Outlier detection using processors.

ParallelSimplifiedLOF(DistanceFunction<? super O>, int) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.parallel.ParallelSimplifiedLOF

Constructor.

ParallelSimplifiedLOF.Parameterizer<O> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.lof.parallel

Parameterization class

param - Variable in class de.lmu.ifi.dbs.elki.gui.configurator.AbstractParameterConfigurator

The parameter to configure

param - Variable in class de.lmu.ifi.dbs.elki.gui.util.DynamicParameters.Node

param - Variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints.ParameterFlagGlobalConstraint

Parameter possibly to be checked.

parameter - Variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.TrackedParameter

Parameter value

Parameter<T> - Interface in de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters

Interface for the parameter of a class.

parameter - Variable in exception de.lmu.ifi.dbs.elki.utilities.optionhandling.UnspecifiedParameterException

Parameter that was missing.

ParameterConfigurator - Interface in de.lmu.ifi.dbs.elki.gui.configurator

ParameterConstraint<T> - Interface in de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints

Interface for specifying parameter constraints.

ParameterException - Exception in de.lmu.ifi.dbs.elki.utilities.optionhandling

Abstract super class for all exceptions thrown during parameterization.

ParameterException(String) - Constructor for exception de.lmu.ifi.dbs.elki.utilities.optionhandling.ParameterException

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

ParameterFlagGlobalConstraint<S> - Class in de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints

Global parameter constraint describing the dependency of a parameter ( AbstractParameter) on a given flag (Flag).

ParameterFlagGlobalConstraint(Parameter<? extends S>, List<? extends ParameterConstraint<? super S>>, Flag, boolean) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints.ParameterFlagGlobalConstraint

Constructs a global parameter constraint specifying that the testing of the parameter given for keeping the parameter constraints given is dependent on the status of the flag given.

Parameterization - Interface in de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization

Interface for object parameterizations.

ParameterizationFunction - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.cash

A parameterization function describes all lines in a d-dimensional feature space intersecting in one point p.

ParameterizationFunction(NumberVector) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.cash.ParameterizationFunction

Provides a new parameterization function describing all lines in a d-dimensional feature space intersecting in one point p.

ParameterizationFunction.ExtremumType - Enum in de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.cash

Available types for the global extremum.

parameterizeOrAbort(Class<?>, Parameterization) - Static method in class de.lmu.ifi.dbs.elki.utilities.ClassGenericsUtil

Force parameterization method.

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.AbstractDistanceBasedAlgorithm.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.AbstractNumberVectorDistanceBasedAlgorithm.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.AbstractPrimitiveDistanceBasedAlgorithm.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.benchmark.KNNBenchmarkAlgorithm.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.benchmark.RangeQueryBenchmarkAlgorithm.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.benchmark.ValidateApproximativeKNNIndex.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.classification.KNNClassifier.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.AbstractProjectedClustering.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.affinitypropagation.AffinityPropagationClusteringAlgorithm.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.affinitypropagation.DistanceBasedInitializationWithMedian.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.affinitypropagation.SimilarityBasedInitializationWithMedian.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.biclustering.ChengAndChurch.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.CanopyPreClustering.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.CASH.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.COPAC.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.COPAC.Settings.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.ERiC.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.ERiC.Settings.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.FourC.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.FourC.Settings.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.HiCO.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.LMCLUS.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.ORCLUS.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.DBSCAN.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.em.AbstractEMModelFactory.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.em.DiagonalGaussianModelFactory.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.em.EM.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.em.MultivariateGaussianModelFactory.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.em.SphericalGaussianModelFactory.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.AbstractRangeQueryNeighborPredicate.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.COPACNeighborPredicate.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.EpsilonNeighborPredicate.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.ERiCNeighborPredicate.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.FourCCorePredicate.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.FourCNeighborPredicate.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.GeneralizedDBSCAN.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.LSDBC.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.MinPtsCorePredicate.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.PreDeConCorePredicate.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.PreDeConNeighborPredicate.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.AbstractHDBSCAN.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.AGNES.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.AnderbergHierarchicalClustering.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.CentroidLinkageMethod.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.CLINK.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.CompleteLinkageMethod.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.extraction.ExtractFlatClusteringFromHierarchy.Parameterizer

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

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

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.GroupAverageLinkageMethod.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.HDBSCANLinearMemory.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.MedianLinkageMethod.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.SingleLinkageMethod.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.SLINK.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.SLINKHDBSCANLinearMemory.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.WardLinkageMethod.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.WeightedAverageLinkageMethod.Parameterizer

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.meta.ExternalClustering.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.NaiveMeanShiftClustering.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.onedimensional.KNNKernelDensityMinimaClustering.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.optics.AbstractOPTICS.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.optics.DeLiClu.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.optics.FastOPTICS.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.optics.OPTICSHeap.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.optics.OPTICSList.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.optics.OPTICSXi.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.SNNClustering.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.CLIQUE.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.DiSH.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.DOC.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.HiSC.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.P3C.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.PreDeCon.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.PreDeCon.Settings.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.PROCLUS.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.SUBCLU.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.trivial.ByLabelClustering.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.trivial.ByModelClustering.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.uncertain.CenterOfMassMetaClustering.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.uncertain.CKMeans.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.uncertain.FDBSCAN.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.uncertain.FDBSCANNeighborPredicate.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.uncertain.RepresentativeUncertainClustering.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.uncertain.UKMeans.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.DependencyDerivator.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.AbstractFrequentItemsetAlgorithm.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.APRIORI.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.Eclat.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.FPGrowth.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.KNNDistancesSampler.Parameterizer

Constructor.

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.KNNJoin.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.MaterializeDistances.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.anglebased.ABOD.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.anglebased.FastABOD.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.anglebased.LBABOD.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.clustering.EMOutlier.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.clustering.KMeansOutlierDetection.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.clustering.SilhouetteOutlierDetection.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.COP.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.distance.AbstractDBOutlier.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.distance.DBOutlierDetection.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.distance.DBOutlierScore.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.distance.HilOut.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.distance.KNNOutlier.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.distance.KNNWeightOutlier.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.distance.ODIN.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.distance.parallel.ParallelKNNOutlier.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.distance.parallel.ParallelKNNWeightOutlier.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.distance.ReferenceBasedOutlierDetection.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.DWOF.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.GaussianModel.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.GaussianUniformMixture.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.ALOCI.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.COF.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.FlexibleLOF.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.INFLO.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.KDEOS.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.LDF.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.LDOF.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.LOCI.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.LOF.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.LoOP.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.OnlineLOF.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.parallel.ParallelLOF.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.parallel.ParallelSimplifiedLOF.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.SimpleKernelDensityLOF.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.SimplifiedLOF.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.meta.ExternalDoubleOutlierScore.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.meta.FeatureBagging.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.meta.HiCS.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.meta.RescaleMetaOutlierAlgorithm.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.meta.SimpleOutlierEnsemble.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.OPTICSOF.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.SimpleCOP.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.AbstractDistanceBasedSpatialOutlier.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.AbstractNeighborhoodOutlier.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.CTLuGLSBackwardSearchAlgorithm.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.CTLuMeanMultipleAttributes.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.CTLuMedianAlgorithm.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.CTLuMedianMultipleAttributes.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.CTLuMoranScatterplotOutlier.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.CTLuRandomWalkEC.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.CTLuScatterplotOutlier.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.CTLuZTestOutlier.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood.ExtendedNeighborhood.Factory.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood.ExternalNeighborhood.Factory.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood.PrecomputedKNearestNeighborNeighborhood.Factory.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood.weighted.LinearWeightedExtendedNeighborhood.Factory.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood.weighted.UnweightedNeighborhoodAdapter.Factory.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.SLOM.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.SOF.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.TrimmedMeanApproach.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.subspace.AbstractAggarwalYuOutlier.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.subspace.AggarwalYuEvolutionary.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.subspace.AggarwalYuNaive.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.subspace.OutRankS1.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.subspace.OUTRES.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.subspace.SOD.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.svm.LibSVMOneClassOutlierDetection.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.trivial.ByLabelOutlier.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.trivial.TrivialGeneratedOutlier.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.statistics.AddSingleScale.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.statistics.AveragePrecisionAtK.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.statistics.DistanceStatisticsWithClasses.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.statistics.EstimateIntrinsicDimensionality.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.statistics.EvaluateRankingQuality.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.statistics.EvaluateRetrievalPerformance.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.statistics.HopkinsStatisticClusteringTendency.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.statistics.RankingQualityHistogram.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.application.AbstractApplication.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.application.cache.CacheDoubleDistanceInOnDiskMatrix.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.application.cache.CacheDoubleDistanceKNNLists.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.application.cache.CacheDoubleDistanceRangeQueries.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.application.cache.CacheFloatDistanceInOnDiskMatrix.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.application.ClassifierHoldoutEvaluationTask.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.application.ConvertToBundleApplication.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.application.experiments.EvaluateIntrinsicDimensionalityEstimators.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.application.GeneratorXMLSpec.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.application.geo.VisualizeGeodesicDistances.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.application.greedyensemble.ComputeKNNOutlierScores.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.application.greedyensemble.EvaluatePrecomputedOutlierScores.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.application.greedyensemble.GreedyEnsembleExperiment.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.application.greedyensemble.VisualizePairwiseGainMatrix.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.application.jsmap.JSONResultHandler.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.application.KDDCLIApplication.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.data.BitVector.Factory.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.data.ByteVector.Factory.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.data.DoubleVector.Factory.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.data.FloatVector.Factory.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.data.IntegerVector.Factory.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.data.OneDimensionalDoubleVector.Factory.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.data.projection.FeatureSelection.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.data.projection.LatLngToECEFProjection.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.data.projection.LngLatToECEFProjection.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.data.projection.NumericalFeatureSelection.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.data.projection.RandomProjection.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.data.ShortVector.Factory.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.data.SparseByteVector.Factory.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.data.SparseDoubleVector.Factory.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.data.SparseFloatVector.Factory.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.data.SparseIntegerVector.Factory.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.data.SparseShortVector.Factory.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.data.uncertain.uncertainifier.AbstractDiscreteUncertainifier.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.data.uncertain.uncertainifier.SimpleGaussianUncertainifier.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.data.uncertain.uncertainifier.UniformUncertainifier.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.data.uncertain.uncertainifier.UnweightedDiscreteUncertainifier.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.data.uncertain.uncertainifier.WeightedDiscreteUncertainifier.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.database.AbstractDatabase.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.database.HashmapDatabase.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.database.StaticArrayDatabase.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.datasource.AbstractDatabaseConnection.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.datasource.BundleDatabaseConnection.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.datasource.ConcatenateFilesDatabaseConnection.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.datasource.DBIDRangeDatabaseConnection.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.datasource.ExternalIDJoinDatabaseConnection.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.datasource.FileBasedDatabaseConnection.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.cleaning.DropNaNFilter.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.cleaning.NoMissingValuesFilter.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.cleaning.ReplaceNaNWithRandomFilter.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.cleaning.VectorDimensionalityFilter.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.FixedDBIDsFilter.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise.AttributeWiseBetaNormalization.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise.AttributeWiseCDFNormalization.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise.AttributeWiseMinMaxNormalization.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise.AttributeWiseVarianceNormalization.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.normalization.instancewise.HellingerHistogramNormalization.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.normalization.instancewise.InstanceLogRankNormalization.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.normalization.instancewise.InstanceMeanVarianceNormalization.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.normalization.instancewise.InstanceMinMaxNormalization.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.normalization.instancewise.InstanceRankNormalization.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.normalization.instancewise.LengthNormalization.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.normalization.instancewise.Log1PlusNormalization.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.selection.ByLabelFilter.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.selection.RandomSamplingStreamFilter.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.selection.ShuffleObjectsFilter.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.transform.AbstractSupervisedProjectionVectorFilter.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.transform.ClassicMultidimensionalScalingTransform.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.transform.FastMultidimensionalScalingTransform.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.transform.GlobalPrincipalComponentAnalysisTransform.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.transform.HistogramJitterFilter.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.transform.LatLngToECEFFilter.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.transform.LinearDiscriminantAnalysisFilter.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.transform.LngLatToECEFFilter.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.transform.NumberVectorFeatureSelectionFilter.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.transform.NumberVectorRandomFeatureSelectionFilter.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.transform.PerturbationFilter.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.transform.ProjectionFilter.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.typeconversions.ClassLabelFilter.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.typeconversions.ClassLabelFromPatternFilter.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.typeconversions.ExternalIDFilter.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.typeconversions.MultivariateTimeSeriesFilter.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.typeconversions.SplitNumberVectorFilter.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.typeconversions.UncertainifyFilter.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.typeconversions.UncertainSplitFilter.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.datasource.GeneratorXMLDatabaseConnection.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.datasource.InputStreamDatabaseConnection.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.datasource.LabelJoinDatabaseConnection.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.datasource.parser.AbstractStreamingParser.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.datasource.parser.ArffParser.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.datasource.parser.BitVectorLabelParser.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.datasource.parser.CategorialDataAsNumberVectorParser.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.datasource.parser.ClusteringVectorParser.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.datasource.parser.CSVReaderFormat.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.datasource.parser.LibSVMFormatParser.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.datasource.parser.NumberVectorLabelParser.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.datasource.parser.SimplePolygonParser.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.datasource.parser.SimpleTransactionParser.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.datasource.parser.SparseNumberVectorLabelParser.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.datasource.parser.StringParser.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.datasource.parser.TermFrequencyParser.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.datasource.PresortedBlindJoinDatabaseConnection.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.datasource.RandomDoubleVectorDatabaseConnection.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractIndexBasedDistanceFunction.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.adapter.AbstractSimilarityAdapter.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.adapter.ArccosSimilarityAdapter.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.adapter.LinearAdapterLinear.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.adapter.LnSimilarityAdapter.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.ArcCosineDistanceFunction.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.BrayCurtisDistanceFunction.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.CanberraDistanceFunction.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.ClarkDistanceFunction.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.colorhistogram.HistogramIntersectionDistanceFunction.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.colorhistogram.HSBHistogramQuadraticDistanceFunction.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.colorhistogram.RGBHistogramQuadraticDistanceFunction.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.correlation.AbsolutePearsonCorrelationDistanceFunction.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.correlation.AbsoluteUncenteredCorrelationDistanceFunction.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.correlation.PearsonCorrelationDistanceFunction.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.correlation.SquaredPearsonCorrelationDistanceFunction.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.correlation.SquaredUncenteredCorrelationDistanceFunction.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.correlation.UncenteredCorrelationDistanceFunction.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.correlation.WeightedPearsonCorrelationDistanceFunction.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.correlation.WeightedSquaredPearsonCorrelationDistanceFunction.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.CosineDistanceFunction.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.external.AsciiDistanceParser.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.external.DiskCacheBasedDoubleDistanceFunction.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.external.DiskCacheBasedFloatDistanceFunction.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.external.FileBasedDoubleDistanceFunction.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.external.FileBasedFloatDistanceFunction.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.geo.DimensionSelectingLatLngDistanceFunction.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.geo.LatLngDistanceFunction.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.geo.LngLatDistanceFunction.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.histogram.HistogramMatchDistanceFunction.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.histogram.KolmogorovSmirnovDistanceFunction.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.Kulczynski1DistanceFunction.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.LorentzianDistanceFunction.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.EuclideanDistanceFunction.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.LPIntegerNormDistanceFunction.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.LPNormDistanceFunction.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.ManhattanDistanceFunction.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.MaximumDistanceFunction.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.MinimumDistanceFunction.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.SparseEuclideanDistanceFunction.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.SparseLPNormDistanceFunction.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.SparseManhattanDistanceFunction.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.SparseMaximumDistanceFunction.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.SquaredEuclideanDistanceFunction.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.WeightedEuclideanDistanceFunction.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.WeightedLPNormDistanceFunction.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.WeightedManhattanDistanceFunction.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.WeightedMaximumDistanceFunction.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.WeightedSquaredEuclideanDistanceFunction.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.probabilistic.ChiSquaredDistanceFunction.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.probabilistic.HellingerDistanceFunction.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.probabilistic.JeffreyDivergenceDistanceFunction.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.probabilistic.JensenShannonDivergenceDistanceFunction.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.probabilistic.KullbackLeiblerDivergenceAsymmetricDistanceFunction.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.probabilistic.KullbackLeiblerDivergenceReverseAsymmetricDistanceFunction.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.probabilistic.SqrtJensenShannonDivergenceDistanceFunction.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.RandomStableDistanceFunction.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.set.HammingDistanceFunction.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.SharedNearestNeighborJaccardDistanceFunction.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.strings.LevenshteinDistanceFunction.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.strings.NormalizedLevenshteinDistanceFunction.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.AbstractDimensionsSelectingDistanceFunction.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.OnedimensionalDistanceFunction.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.SubspaceEuclideanDistanceFunction.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.SubspaceLPNormDistanceFunction.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.SubspaceManhattanDistanceFunction.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.SubspaceMaximumDistanceFunction.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries.AbstractEditDistanceFunction.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries.DTWDistanceFunction.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries.EDRDistanceFunction.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries.ERPDistanceFunction.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries.LCSSDistanceFunction.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.WeightedCanberraDistanceFunction.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.similarityfunction.AbstractIndexBasedSimilarityFunction.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.similarityfunction.cluster.ClusteringAdjustedRandIndexSimilarityFunction.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.similarityfunction.cluster.ClusteringBCubedF1SimilarityFunction.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.similarityfunction.cluster.ClusteringFowlkesMallowsSimilarityFunction.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.similarityfunction.cluster.ClusteringRandIndexSimilarityFunction.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.similarityfunction.cluster.ClusterIntersectionSimilarityFunction.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.similarityfunction.cluster.ClusterJaccardSimilarityFunction.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.similarityfunction.FractionalSharedNearestNeighborSimilarityFunction.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.LaplaceKernelFunction.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.LinearKernelFunction.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.PolynomialKernelFunction.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.RadialBasisFunctionKernelFunction.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.RationalQuadraticKernelFunction.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.SigmoidKernelFunction.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.similarityfunction.Kulczynski1SimilarityFunction.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.similarityfunction.Kulczynski2SimilarityFunction.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.distance.similarityfunction.SharedNearestNeighborSimilarityFunction.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.evaluation.AutomaticEvaluation.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.evaluation.classification.holdout.DisjointCrossValidation.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.evaluation.classification.holdout.RandomizedCrossValidation.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.evaluation.classification.holdout.RandomizedHoldout.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.evaluation.classification.holdout.StratifiedCrossValidation.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.evaluation.clustering.EvaluateClustering.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.evaluation.clustering.internal.EvaluateCIndex.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.evaluation.clustering.internal.EvaluateConcordantPairs.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.evaluation.clustering.internal.EvaluateDaviesBouldin.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.evaluation.clustering.internal.EvaluatePBMIndex.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.evaluation.clustering.internal.EvaluateSilhouette.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.evaluation.clustering.internal.EvaluateSimplifiedSilhouette.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.evaluation.clustering.internal.EvaluateSquaredErrors.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.evaluation.clustering.internal.EvaluateVarianceRatioCriteria.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.evaluation.histogram.ComputeOutlierHistogram.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.evaluation.NoAutomaticEvaluation.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.evaluation.outlier.JudgeOutlierScores.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.evaluation.outlier.OutlierPrecisionAtKCurve.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.evaluation.outlier.OutlierPrecisionRecallCurve.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.evaluation.outlier.OutlierRankingEvaluation.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.evaluation.outlier.OutlierROCCurve.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.evaluation.outlier.OutlierSmROCCurve.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.evaluation.outlier.OutlierThresholdClustering.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.evaluation.scores.AveragePrecisionEvaluation.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.evaluation.scores.MaximumF1Evaluation.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.evaluation.scores.PrecisionAtKEvaluation.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.evaluation.scores.ROCEvaluation.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.evaluation.similaritymatrix.ComputeSimilarityMatrixImage.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.index.distancematrix.PrecomputedDistanceMatrix.Factory.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.index.idistance.InMemoryIDistanceIndex.Factory.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.index.invertedlist.InMemoryInvertedIndex.Factory.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.index.lsh.hashfamilies.AbstractProjectedHashFunctionFamily.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.index.lsh.hashfamilies.CosineHashFunctionFamily.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.index.lsh.hashfamilies.EuclideanHashFunctionFamily.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.index.lsh.hashfamilies.ManhattanHashFunctionFamily.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.index.lsh.InMemoryLSHIndex.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.index.PagedIndexFactory.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.index.preprocessed.fastoptics.RandomProjectedNeighborssAndDensities.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.index.preprocessed.knn.AbstractMaterializeKNNPreprocessor.Factory.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.index.preprocessed.knn.CachedDoubleDistanceKNNPreprocessor.Factory.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.index.preprocessed.knn.KNNJoinMaterializeKNNPreprocessor.Factory.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.index.preprocessed.knn.MaterializeKNNAndRKNNPreprocessor.Factory.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.index.preprocessed.knn.MaterializeKNNPreprocessor.Factory.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.index.preprocessed.knn.MetricalIndexApproximationMaterializeKNNPreprocessor.Factory.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.index.preprocessed.knn.NaiveProjectedKNNPreprocessor.Factory.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.index.preprocessed.knn.PartitionApproximationMaterializeKNNPreprocessor.Factory.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.index.preprocessed.knn.RandomSampleKNNPreprocessor.Factory.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.index.preprocessed.knn.SpacefillingKNNPreprocessor.Factory.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.index.preprocessed.knn.SpacefillingMaterializeKNNPreprocessor.Factory.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.index.preprocessed.knn.SpatialApproximationMaterializeKNNPreprocessor.Factory.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.index.preprocessed.localpca.AbstractFilteredPCAIndex.Factory.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.index.preprocessed.localpca.KNNQueryFilteredPCAIndex.Factory.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.index.preprocessed.preference.DiSHPreferenceVectorIndex.Factory.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.index.preprocessed.preference.HiSCPreferenceVectorIndex.Factory.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.index.preprocessed.snn.SharedNearestNeighborPreprocessor.Factory.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.index.projected.LatLngAsECEFIndex.Factory.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.index.projected.LngLatAsECEFIndex.Factory.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.index.projected.PINN.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.index.projected.ProjectedIndex.Factory.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.covertree.AbstractCoverTree.Factory.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.covertree.CoverTree.Factory.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.covertree.SimplifiedCoverTree.Factory.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.AbstractMTreeFactory.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.AbstractMkTreeUnifiedFactory.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppTreeFactory.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCopTreeFactory.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax.MkMaxTreeFactory.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab.MkTabTreeFactory.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mtree.MTreeFactory.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.strategies.split.RandomSplit.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.kd.MinimalisticMemoryKDTree.Factory.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.kd.SmallMemoryKDTree.Factory.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.AbstractRStarTreeFactory.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu.DeLiCluTreeFactory.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.flat.FlatRStarTreeFactory.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn.RdKNNTreeFactory.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rstar.RStarTreeFactory.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.bulk.AdaptiveSortTileRecursiveBulkSplit.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.bulk.FileOrderBulkSplit.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.bulk.MaxExtensionBulkSplit.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.bulk.MaxExtensionSortTileRecursiveBulkSplit.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.bulk.OneDimSortBulkSplit.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.bulk.SortTileRecursiveBulkSplit.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.bulk.SpatialSortBulkSplit.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.insert.ApproximativeLeastOverlapInsertionStrategy.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.insert.CombinedInsertionStrategy.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.insert.LeastEnlargementInsertionStrategy.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.insert.LeastEnlargementWithAreaInsertionStrategy.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.insert.LeastOverlapInsertionStrategy.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.overflow.LimitedReinsertOverflowTreatment.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.overflow.SplitOnlyOverflowTreatment.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.reinsert.AbstractPartialReinsert.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.reinsert.CloseReinsert.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.reinsert.FarReinsert.Parameterizer

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

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

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

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

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

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.index.vafile.PartialVAFile.Factory.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.index.vafile.VAFile.Factory.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.KDDTask.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.dimensionsimilarity.CovarianceDimensionSimilarity.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.dimensionsimilarity.HiCSDimensionSimilarity.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.dimensionsimilarity.HSMDimensionSimilarity.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.dimensionsimilarity.MCEDimensionSimilarity.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.dimensionsimilarity.SlopeDimensionSimilarity.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.dimensionsimilarity.SlopeInversionDimensionSimilarity.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.dimensionsimilarity.SURFINGDimensionSimilarity.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.geodesy.Clarke1858SpheroidEarthModel.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.geodesy.Clarke1880SpheroidEarthModel.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.geodesy.GRS67SpheroidEarthModel.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.geodesy.GRS80SpheroidEarthModel.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.geodesy.SphericalCosineEarthModel.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.geodesy.SphericalHaversineEarthModel.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.geodesy.SphericalVincentyEarthModel.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.geodesy.WGS72SpheroidEarthModel.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.geodesy.WGS84SpheroidEarthModel.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.CompositeEigenPairFilter.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.DropEigenPairFilter.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.FirstNEigenPairFilter.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.LimitEigenPairFilter.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PCAFilteredAutotuningRunner.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PCAFilteredRunner.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PCARunner.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PercentageEigenPairFilter.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.ProgressiveEigenPairFilter.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.RANSACCovarianceMatrixBuilder.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.RelativeEigenPairFilter.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.SignificantEigenPairFilter.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.WeakEigenPairFilter.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.WeightedCovarianceMatrixBuilder.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.randomprojections.AbstractRandomProjectionFamily.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.randomprojections.AchlioptasRandomProjectionFamily.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.randomprojections.CauchyRandomProjectionFamily.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.randomprojections.GaussianRandomProjectionFamily.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.randomprojections.RandomHyperplaneProjectionFamily.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.randomprojections.RandomSubsetProjectionFamily.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.dependence.CorrelationDependenceMeasure.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.dependence.DistanceCorrelationDependenceMeasure.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.dependence.HiCSDependenceMeasure.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.dependence.HoeffdingsDDependenceMeasure.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.dependence.HSMDependenceMeasure.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.dependence.JensenShannonEquiwidthDependenceMeasure.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.dependence.MCEDependenceMeasure.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.dependence.MutualInformationEquiwidthDependenceMeasure.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.dependence.SlopeDependenceMeasure.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.dependence.SlopeInversionDependenceMeasure.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.dependence.SpearmanCorrelationDependenceMeasure.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.dependence.SURFINGDependenceMeasure.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.AbstractDistribution.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.BetaDistribution.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.CauchyDistribution.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.ChiDistribution.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.ChiSquaredDistribution.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.ConstantDistribution.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.CauchyMADEstimator.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.EMGOlivierNorbergEstimator.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.ExponentialLMMEstimator.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.ExponentialMADEstimator.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.ExponentialMedianEstimator.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.ExponentialMOMEstimator.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.GammaChoiWetteEstimator.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.GammaLMMEstimator.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.GammaMADEstimator.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.GammaMOMEstimator.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.GeneralizedExtremeValueLMMEstimator.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.GeneralizedLogisticAlternateLMMEstimator.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.GeneralizedParetoLMMEstimator.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.GumbelLMMEstimator.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.GumbelMADEstimator.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.LaplaceLMMEstimator.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.LaplaceMADEstimator.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.LaplaceMLEEstimator.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.LogGammaAlternateExpMADEstimator.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.LogGammaChoiWetteEstimator.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.LogGammaLogMADEstimator.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.LogGammaLogMOMEstimator.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.LogisticLMMEstimator.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.LogisticMADEstimator.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.LogLogisticMADEstimator.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.LogNormalBilkovaLMMEstimator.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.LogNormalLevenbergMarquardtKDEEstimator.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.LogNormalLMMEstimator.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.LogNormalLogMADEstimator.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.LogNormalLogMOMEstimator.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.meta.BestFitEstimator.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.meta.TrimmedEstimator.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.meta.WinsorisingEstimator.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.NormalLevenbergMarquardtKDEEstimator.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.NormalLMMEstimator.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.NormalMADEstimator.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.NormalMOMEstimator.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.RayleighLMMEstimator.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.RayleighMADEstimator.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.RayleighMLEEstimator.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.SkewGNormalLMMEstimator.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.UniformEnhancedMinMaxEstimator.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.UniformLMMEstimator.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.UniformMADEstimator.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.UniformMinMaxEstimator.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.WaldMLEstimator.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.WaldMOMEstimator.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.WeibullLMMEstimator.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.WeibullLogMADEstimator.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.WeibullLogMOMEstimator.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.ExponentialDistribution.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.ExponentiallyModifiedGaussianDistribution.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.GammaDistribution.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.GeneralizedExtremeValueDistribution.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.GeneralizedLogisticAlternateDistribution.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.GeneralizedLogisticDistribution.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.GeneralizedParetoDistribution.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.GumbelDistribution.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.HaltonUniformDistribution.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.KappaDistribution.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.LaplaceDistribution.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.LogGammaAlternateDistribution.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.LogGammaDistribution.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.LogisticDistribution.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.LogLogisticDistribution.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.LogNormalDistribution.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.NormalDistribution.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.PoissonDistribution.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.RayleighDistribution.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.SkewGeneralizedNormalDistribution.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.StudentsTDistribution.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.UniformDistribution.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.WaldDistribution.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.WeibullDistribution.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.intrinsicdimensionality.AggregatedHillEstimator.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.intrinsicdimensionality.GEDEstimator.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.intrinsicdimensionality.HillEstimator.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.intrinsicdimensionality.LMomentsEstimator.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.intrinsicdimensionality.MOMEstimator.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.intrinsicdimensionality.PWM2Estimator.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.intrinsicdimensionality.PWMEstimator.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.intrinsicdimensionality.ZipfEstimator.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.kernelfunctions.BiweightKernelDensityFunction.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.kernelfunctions.CosineKernelDensityFunction.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.kernelfunctions.EpanechnikovKernelDensityFunction.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.kernelfunctions.GaussianKernelDensityFunction.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.kernelfunctions.TriangularKernelDensityFunction.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.kernelfunctions.TricubeKernelDensityFunction.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.kernelfunctions.TriweightKernelDensityFunction.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.kernelfunctions.UniformKernelDensityFunction.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.tests.KolmogorovSmirnovTest.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.tests.WelchTTest.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.persistent.AbstractPageFileFactory.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.persistent.LRUCachePageFileFactory.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.persistent.MemoryPageFileFactory.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.persistent.OnDiskArrayPageFileFactory.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.persistent.PersistentPageFileFactory.Parameterizer

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

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

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

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.utilities.ensemble.EnsembleVotingInverseMultiplicative.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.utilities.ensemble.EnsembleVotingMedian.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.utilities.ensemble.EnsembleVotingMultiplicative.Parameterizer

Parameterizer - Interface in de.lmu.ifi.dbs.elki.utilities.optionhandling

Generic interface for a parameterizable factory.

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.utilities.referencepoints.AxisBasedReferencePoints.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.utilities.referencepoints.GridBasedReferencePoints.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.utilities.referencepoints.RandomGeneratedReferencePoints.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.utilities.referencepoints.RandomSampleReferencePoints.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.utilities.referencepoints.StarBasedReferencePoints.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.utilities.scaling.ClipScaling.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.utilities.scaling.GammaScaling.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.COPOutlierScaling.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.MinusLogGammaScaling.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.MinusLogStandardDeviationScaling.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.OutlierGammaScaling.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.OutlierLinearScaling.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.OutlierSqrtScaling.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.SqrtStandardDeviationScaling.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.StandardDeviationScaling.Parameterizer

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

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

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.visualization.gui.ResultVisualizer.Parameterizer

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

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

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

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.histogram.ColoredHistogramVisualizer.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.cluster.ClusterOutlineVisualization.Parameterizer

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

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

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

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

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

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

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

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

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.workflow.AlgorithmStep.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.workflow.EvaluationStep.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.workflow.InputStep.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.workflow.LoggingStep.Parameterizer

Parameterizer() - Constructor for class de.lmu.ifi.dbs.elki.workflow.OutputStep.Parameterizer

Parameterizer() - Constructor for class tutorial.clustering.NaiveAgglomerativeHierarchicalClustering1.Parameterizer

Parameterizer() - Constructor for class tutorial.clustering.NaiveAgglomerativeHierarchicalClustering2.Parameterizer

Parameterizer() - Constructor for class tutorial.clustering.NaiveAgglomerativeHierarchicalClustering3.Parameterizer

Parameterizer() - Constructor for class tutorial.clustering.NaiveAgglomerativeHierarchicalClustering4.Parameterizer

Parameterizer() - Constructor for class tutorial.clustering.SameSizeKMeansAlgorithm.Parameterizer

Parameterizer() - Constructor for class tutorial.distancefunction.MultiLPNorm.Parameterizer

Parameterizer() - Constructor for class tutorial.outlier.DistanceStddevOutlier.Parameterizer

Parameterizer() - Constructor for class tutorial.outlier.ODIN.Parameterizer

parameterList - Variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints.AllOrNoneMustBeSetGlobalConstraint

List of parameters to be checked

parameterNamesAndValuesToString(List<N>) - Static method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.OptionUtil

Returns a string representation of the list of number parameters containing the names and the values of the parameters.

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

Parameter storage.

parameters - Variable in class de.lmu.ifi.dbs.elki.gui.util.DynamicParameters

Parameter storage

parameters - Variable in class de.lmu.ifi.dbs.elki.gui.util.ParametersModel

Parameter storage

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

The parameters we edit.

parameters - Variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints.EqualSizeGlobalConstraint

List parameters to be tested

parameters - Variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints.NoDuplicateValueGlobalConstraint

List of number parameters to be checked.

parameters - Variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints.OneMustBeSetGlobalConstraint

List of parameters to be checked.

parameters - Variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints.OnlyOneIsAllowedToBeSetGlobalConstraint

List of parameters to be checked.

parameters - Variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.ListParameterization

The actual parameters, for storage

parameters - Variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.SerializedParameterization

Parameter storage

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

A Swing TableModel that uses a DynamicParameters object as storage.

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

Constructor

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

The parameter table.

parameterTable - Variable in class de.lmu.ifi.dbs.elki.gui.multistep.panels.ParameterTabPanel

The parameter table

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

Class showing a table of ELKI parameters.

ParameterTable(Frame, ParametersModel, DynamicParameters) - Constructor for class de.lmu.ifi.dbs.elki.gui.util.ParameterTable

Constructor

ParameterTable.AdjustingEditor - Class in de.lmu.ifi.dbs.elki.gui.util

This Editor will adjust to the type of the Option: Sometimes just a plain text editor, sometimes a ComboBox to offer known choices, and sometime a file selector dialog.

ParameterTable.ClassListEditor - Class in de.lmu.ifi.dbs.elki.gui.util

Editor for choosing classes.

ParameterTable.ColorfulRenderer - Class in de.lmu.ifi.dbs.elki.gui.util

Renderer for the table that colors the entries according to their bitmask.

ParameterTable.DispatchingPanel - Class in de.lmu.ifi.dbs.elki.gui.util

This is a panel that will dispatch keystrokes to a particular component.

ParameterTable.DropdownEditor - Class in de.lmu.ifi.dbs.elki.gui.util

Editor using a Dropdown box to offer known values to choose from.

ParameterTable.FileNameEditor - Class in de.lmu.ifi.dbs.elki.gui.util

Editor for selecting input and output file and folders names

ParameterTable.Handler - Class in de.lmu.ifi.dbs.elki.gui.util

Internal key listener.

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

Abstract panel, showing particular options.

ParameterTabPanel() - Constructor for class de.lmu.ifi.dbs.elki.gui.multistep.panels.ParameterTabPanel

Input pane

ParameterTabPanel.Status - Enum in de.lmu.ifi.dbs.elki.gui.multistep.panels

Status code enumeration

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

Parameters to use in fitting

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

More working buffers

parent - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.PointerHierarchyRepresentationResult

The parent DBID relation.

parent - Variable in class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.FPGrowth.FPNode

Parent node and next in sequence.

parent - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.ALOCI.Node

Parent node

parent - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractDatabaseDistanceFunction.Instance

Parent distance

parent - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractIndexBasedDistanceFunction.Instance

Our parent distance function

parent - Variable in class de.lmu.ifi.dbs.elki.gui.configurator.AbstractParameterConfigurator

The parent container

parent - Variable in class de.lmu.ifi.dbs.elki.visualization.batikutil.NodeAppendChild

Parent node to append to.

parentDist - Variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.covertree.CoverTree.Node

Distance to parent.

parentDistance - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.PointerHierarchyRepresentationResult

Distance to the parent object.

parentDistance - Variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.MTreeDirectoryEntry

The distance from the routing object of this entry to its parent's routing object.

parentDistance - Variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.MTreeLeafEntry

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

parentiter - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.HashMapHierarchy.ItrAnc

Iterator over children

parentPath - Variable in class de.lmu.ifi.dbs.elki.index.tree.IndexTreePath

Path representing the parent, null if lastPathComponent represents the root.

parents - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.HashMapHierarchy.Rec

Parents.

parents - Variable in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.TrackParameters

Tree information: parent links

parse(InputStream) - Method in class de.lmu.ifi.dbs.elki.datasource.parser.AbstractStreamingParser

parse(InputStream) - Method in class de.lmu.ifi.dbs.elki.datasource.parser.ArffParser

parse(InputStream) - Method in interface de.lmu.ifi.dbs.elki.datasource.parser.Parser

Returns a list of the objects parsed from the specified input stream.

parse(InputStream) - Method in class de.lmu.ifi.dbs.elki.datasource.parser.StringParser

parse(InputStream, DistanceCacheWriter) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.AsciiDistanceParser

parse(InputStream, DistanceCacheWriter) - Method in interface de.lmu.ifi.dbs.elki.distance.distancefunction.external.DistanceParser

Returns a list of the objects parsed from the specified input stream and a list of the labels associated with the objects.

parse(String) - Static method in class de.lmu.ifi.dbs.elki.logging.Logging.Level

Parse a logging level.

parseAttributeStatements(BufferedReader, ArrayList<String>, ArrayList<String>) - Method in class de.lmu.ifi.dbs.elki.datasource.parser.ArffParser

Parse the "@attribute" section of the ARFF file.

parseDebugParameter(StringParameter) - Static method in class de.lmu.ifi.dbs.elki.logging.LoggingUtil

Parse the option string to configure logging.

parseDouble(CharSequence) - Static method in class de.lmu.ifi.dbs.elki.utilities.FormatUtil

Parse a double from a character sequence.

parseDouble(CharSequence, int, int) - Static method in class de.lmu.ifi.dbs.elki.utilities.FormatUtil

Parse a double from a character sequence.

parseDouble(byte[], int, int) - Static method in class de.lmu.ifi.dbs.elki.utilities.FormatUtil

Parse a double from a character sequence.

parseLine() - Method in class de.lmu.ifi.dbs.elki.datasource.parser.SimplePolygonParser

Parse a single line.

parseLine(Class<?>, CharSequence, URL) - Static method in class de.lmu.ifi.dbs.elki.utilities.ELKIServiceLoader

Parse a single line from a service registry file.

parseLineInternal() - Method in class de.lmu.ifi.dbs.elki.datasource.parser.BitVectorLabelParser

parseLineInternal() - Method in class de.lmu.ifi.dbs.elki.datasource.parser.CategorialDataAsNumberVectorParser

parseLineInternal() - Method in class de.lmu.ifi.dbs.elki.datasource.parser.LibSVMFormatParser

parseLineInternal() - Method in class de.lmu.ifi.dbs.elki.datasource.parser.NumberVectorLabelParser

Internal method for parsing a single line.

parseLineInternal() - Method in class de.lmu.ifi.dbs.elki.datasource.parser.SparseNumberVectorLabelParser

parseLineInternal() - Method in class de.lmu.ifi.dbs.elki.datasource.parser.TermFrequencyParser

parseLongBase10(CharSequence, int, int) - Static method in class de.lmu.ifi.dbs.elki.utilities.FormatUtil

Parse a long integer from a character sequence.

parser - Variable in class de.lmu.ifi.dbs.elki.datasource.AbstractDatabaseConnection.Parameterizer

Parser to use

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

The parser.

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

Holds the instance of the parser.

Parser - Interface in de.lmu.ifi.dbs.elki.datasource.parser

A Parser shall provide a ParsingResult by parsing an InputStream.

parser - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.FileBasedDoubleDistanceFunction.Parameterizer

Parser for input file.

parser - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.FileBasedDoubleDistanceFunction

Distance parser

parser - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.FileBasedFloatDistanceFunction.Parameterizer

Parser for input file.

parser - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.FileBasedFloatDistanceFunction

Distance parser

PARSER_ID - Static variable in class de.lmu.ifi.dbs.elki.datasource.AbstractDatabaseConnection.Parameterizer

Parameter to specify the parser to provide a database.

PARSER_ID - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.FileBasedDoubleDistanceFunction.Parameterizer

Optional parameter to specify the parsers to provide a database, must extend DistanceParser.

parseURL(String) - Method in class de.lmu.ifi.dbs.elki.visualization.batikutil.ThumbnailRegistryEntry

parseURL(ParsedURL, String) - Method in class de.lmu.ifi.dbs.elki.visualization.batikutil.ThumbnailRegistryEntry

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

Parse a given value into the destination type.

parseValue(Object) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.ClassListParameter

parseValue(Object) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.ClassParameter

parseValue(Object) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.DoubleListParameter

parseValue(Object) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.DoubleParameter

parseValue(Object) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.EnumParameter

parseValue(Object) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.FileListParameter

parseValue(Object) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.FileParameter

parseValue(Object) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.Flag

parseValue(Object) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.IntListParameter

parseValue(Object) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.IntParameter

parseValue(Object) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.LongParameter

parseValue(Object) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.ObjectListParameter

parseValue(Object) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.ObjectParameter

parseValue(Object) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.PatternParameter

parseValue(Object) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.RandomParameter

parseValue(Object) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.StringParameter

parseValue(Object) - Method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.VectorListParameter

parseVector(String) - Method in class de.lmu.ifi.dbs.elki.datasource.GeneratorXMLDatabaseConnection

Parse a string into a vector.

PartialDimensionSimilarityMatrix(int[]) - Constructor for class de.lmu.ifi.dbs.elki.math.dimensionsimilarity.DimensionSimilarityMatrix.PartialDimensionSimilarityMatrix

Constructor.

PartialVACandidate(VectorApproximation) - Constructor for class de.lmu.ifi.dbs.elki.index.vafile.PartialVAFile.PartialVACandidate

Constructor.

PartialVAFile<V extends NumberVector> - Class in de.lmu.ifi.dbs.elki.index.vafile

PartialVAFile.

PartialVAFile(int, Relation<V>, int) - Constructor for class de.lmu.ifi.dbs.elki.index.vafile.PartialVAFile

Constructor.

PartialVAFile.Factory<V extends NumberVector> - Class in de.lmu.ifi.dbs.elki.index.vafile

Index factory class.

PartialVAFile.Factory.Parameterizer - Class in de.lmu.ifi.dbs.elki.index.vafile

Parameterization class.

PartialVAFile.PartialVACandidate - Class in de.lmu.ifi.dbs.elki.index.vafile

Object in a VA approximation.

PartialVAFile.PartialVAFileKNNQuery - Class in de.lmu.ifi.dbs.elki.index.vafile

KNN query for this index.

PartialVAFile.PartialVAFileRangeQuery - Class in de.lmu.ifi.dbs.elki.index.vafile

Range query for this index.

PartialVAFile.Statistics - Class in de.lmu.ifi.dbs.elki.index.vafile

Class for tracking Partial VA file statistics.

PartialVAFile.WorstCaseDistComparator - Class in de.lmu.ifi.dbs.elki.index.vafile

Compare DAfiles by their worst case distance.

PartialVAFileKNNQuery(DistanceQuery<V>, double, long[]) - Constructor for class de.lmu.ifi.dbs.elki.index.vafile.PartialVAFile.PartialVAFileKNNQuery

Constructor.

PartialVAFileRangeQuery(DistanceQuery<V>, double, long[]) - Constructor for class de.lmu.ifi.dbs.elki.index.vafile.PartialVAFile.PartialVAFileRangeQuery

Constructor.

partition(List<? extends O>) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.transform.AbstractSupervisedProjectionVectorFilter

Partition the bundle based on the class label.

partition(List<T>, int, int) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.bulk.AdaptiveSortTileRecursiveBulkSplit

partition(List<T>, int, int) - Method in interface de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.bulk.BulkSplit

Partitions the specified feature vectors

partition(List<T>, int, int) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.bulk.FileOrderBulkSplit

partition(List<N>, int, int) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.bulk.MaxExtensionBulkSplit

Partitions the specified feature vectors where the split axes are the dimensions with maximum extension.

partition(List<T>, int, int) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.bulk.MaxExtensionSortTileRecursiveBulkSplit

partition(List<T>, int, int) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.bulk.OneDimSortBulkSplit

partition(List<T>, int, int) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.bulk.SortTileRecursiveBulkSplit

partition(List<T>, int, int) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.bulk.SpatialSortBulkSplit

PartitionApproximationMaterializeKNNPreprocessor<O> - Class in de.lmu.ifi.dbs.elki.index.preprocessed.knn

A preprocessor for annotation of the k nearest neighbors (and their distances) to each database object.

PartitionApproximationMaterializeKNNPreprocessor(Relation<O>, DistanceFunction<? super O>, int, int, RandomFactory) - Constructor for class de.lmu.ifi.dbs.elki.index.preprocessed.knn.PartitionApproximationMaterializeKNNPreprocessor

Constructor

PartitionApproximationMaterializeKNNPreprocessor.Factory<O> - Class in de.lmu.ifi.dbs.elki.index.preprocessed.knn

The parameterizable factory.

PartitionApproximationMaterializeKNNPreprocessor.Factory.Parameterizer<O> - Class in de.lmu.ifi.dbs.elki.index.preprocessed.knn

Parameterization class.

partitionData(Relation<V>, int) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.P3C

Partition the data set into bins bins in each dimension independently.

partitions - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.PartitionApproximationMaterializeKNNPreprocessor.Factory.Parameterizer

Number of partitions

partitions - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.PartitionApproximationMaterializeKNNPreprocessor.Factory

The number of partitions to use

partitions - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.PartitionApproximationMaterializeKNNPreprocessor

Number of partitions to use.

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

Number of partitions.

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

Number of partitions.

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

Parameter to specify the number of partitions to use for materializing the kNN.

PARTITIONS_ID - Static variable in class de.lmu.ifi.dbs.elki.index.vafile.PartialVAFile.Factory

Number of partitions to use in each dimension.

PARTITIONS_ID - Static variable in class de.lmu.ifi.dbs.elki.index.vafile.VAFile.Factory

Number of partitions to use in each dimension.

partitionsFromIntegerLabels(DBIDs, IntegerDataStore, int) - Static method in class de.lmu.ifi.dbs.elki.algorithm.clustering.ClusteringAlgorithmUtil

Collect clusters from their [0;k-1] integer labels.

PassingDataToELKI - Class in tutorial.javaapi

Example program to generate a random data set, and run k-means on it.

PassingDataToELKI() - Constructor for class tutorial.javaapi.PassingDataToELKI

PATH_ARC_RELATIVE - Static variable in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPath

The lower case version (relative) path arc command.

PATH_CUBIC_TO_RELATIVE - Static variable in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPath

The lower case version (relative) cubic line to command.

PATH_HORIZONTAL_LINE_TO_RELATIVE - Static variable in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPath

The lower case version (relative) horizontal line to command.

PATH_JSON - Static variable in class de.lmu.ifi.dbs.elki.application.jsmap.JSONWebServer

The base path we serve data from.

PATH_LINE_TO_RELATIVE - Static variable in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPath

The lower case version (relative) line to command.

PATH_MOVE_RELATIVE - Static variable in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPath

The lower case version (relative) move command.

PATH_QUAD_TO_RELATIVE - Static variable in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPath

The lower case version (relative) quadratic interpolation to command.

PATH_SMOOTH_CUBIC_TO - Static variable in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPath

The absolute "smooth cubic to" SVG path command (missing from SVGConstants).

PATH_SMOOTH_CUBIC_TO_RELATIVE - Static variable in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPath

The lower case version (relative) smooth cubic to command.

PATH_SMOOTH_QUAD_TO_RELATIVE - Static variable in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPath

The lower case version (relative) smooth quadratic interpolation to command.

PATH_VERTICAL_LINE_TO_RELATIVE - Static variable in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPath

The lower case version (relative) vertical line to command.

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

Filter pattern for query points.

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

Filter pattern

pattern - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.trivial.ByLabelOutlier.Parameterizer

Stores the "outlier" class.

pattern - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.trivial.ByLabelOutlier

The pattern we match with.

pattern - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.selection.ByLabelFilter.Parameterizer

The pattern configured.

pattern - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.typeconversions.ClassLabelFromPatternFilter.Parameterizer

Matching pattern.

pattern - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.typeconversions.ClassLabelFromPatternFilter

Matching pattern.

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

Parameter to select query points.

PATTERN_ID - Static variable in class de.lmu.ifi.dbs.elki.datasource.filter.typeconversions.ClassLabelFromPatternFilter.Parameterizer

Pattern for recognizing positive objects.

PatternParameter - Class in de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters

Parameter class for a parameter specifying a pattern.

PatternParameter(OptionID, Pattern) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.PatternParameter

Constructs a pattern parameter with the given optionID, and default value.

PatternParameter(OptionID, String) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.PatternParameter

Constructs a pattern parameter with the given optionID, and default value.

PatternParameter(OptionID) - Constructor for class de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.PatternParameter

Constructs a pattern parameter with the given optionID.

pbarmap - Variable in class de.lmu.ifi.dbs.elki.gui.util.LogPanel

Current progress bars

pca - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.COPAC.Settings

Class to compute PCA.

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

Class to compute PCA.

pca - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.ORCLUS.Parameterizer

pca - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.ORCLUS

The PCA utility object.

pca - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.FourCNeighborPredicate

The Filtered PCA Runner

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

Class to compute PCA with

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

Holds the object performing the pca.

pca - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.COP.Parameterizer

Holds the object performing the dependency derivation.

pca - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.COP

Holds the PCA runner.

pca - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.SimpleCOP.Parameterizer

Holds the object performing the dependency derivation

pca - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.localpca.AbstractFilteredPCAIndex.Factory.Parameterizer

PCA utility object.

pca - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.localpca.AbstractFilteredPCAIndex.Factory

PCA utility object.

pca - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.localpca.AbstractFilteredPCAIndex

PCA utility object.

PCA_COVARIANCE_MATRIX - Static variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PCARunner

Parameter to specify the class to compute the covariance matrix, must be a subclass of CovarianceMatrixBuilder.

PCA_DISTANCE_ID - Static variable in class de.lmu.ifi.dbs.elki.index.preprocessed.localpca.AbstractFilteredPCAIndex.Factory

Parameter to specify the distance function used for running PCA.

PCA_EIGENPAIR_FILTER - Static variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PCAFilteredRunner.Parameterizer

Parameter to specify the filter for determination of the strong and weak eigenvectors, must be a subclass of EigenPairFilter.

pcaDistanceFunction - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.localpca.AbstractFilteredPCAIndex.Factory.Parameterizer

Holds the instance of the distance function specified by AbstractFilteredPCAIndex.Factory.PCA_DISTANCE_ID.

pcaDistanceFunction - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.localpca.AbstractFilteredPCAIndex.Factory

Holds the instance of the distance function specified by AbstractFilteredPCAIndex.Factory.PCA_DISTANCE_ID.

PCAFilteredAutotuningRunner - Class in de.lmu.ifi.dbs.elki.math.linearalgebra.pca

Performs a self-tuning local PCA based on the covariance matrices of given objects.

PCAFilteredAutotuningRunner(CovarianceMatrixBuilder, EigenPairFilter, double, double) - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PCAFilteredAutotuningRunner

Constructor.

PCAFilteredAutotuningRunner.Cand - Class in de.lmu.ifi.dbs.elki.math.linearalgebra.pca

Candidate

PCAFilteredAutotuningRunner.Parameterizer - Class in de.lmu.ifi.dbs.elki.math.linearalgebra.pca

Parameterization class.

PCAFilteredResult - Class in de.lmu.ifi.dbs.elki.math.linearalgebra.pca

Result class for a filtered PCA.

PCAFilteredResult(SortedEigenPairs, FilteredEigenPairs, double, double) - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PCAFilteredResult

Construct a result object for the filtered PCA result.

PCAFilteredRunner - Class in de.lmu.ifi.dbs.elki.math.linearalgebra.pca

PCA runner that will do dimensionality reduction.

PCAFilteredRunner(CovarianceMatrixBuilder, EigenPairFilter, double, double) - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PCAFilteredRunner

Constructor.

PCAFilteredRunner.Parameterizer - Class in de.lmu.ifi.dbs.elki.math.linearalgebra.pca

Parameterization class.

pcaresult - Variable in class de.lmu.ifi.dbs.elki.data.model.CorrelationModel

The computed PCA result of this cluster.

PCAResult - Class in de.lmu.ifi.dbs.elki.math.linearalgebra.pca

Result class for Principal Component Analysis with some convenience methods

PCAResult(double[], Matrix, SortedEigenPairs) - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PCAResult

Build a PCA result object.

PCAResult(SortedEigenPairs) - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PCAResult

Build a PCA result from an existing set of EigenPairs.

PCARunner - Class in de.lmu.ifi.dbs.elki.math.linearalgebra.pca

Class to run PCA on given data.

PCARunner(CovarianceMatrixBuilder) - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PCARunner

Constructor.

PCARunner.Parameterizer - Class in de.lmu.ifi.dbs.elki.math.linearalgebra.pca

Parameterization class.

PCARUNNER_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.COP.Parameterizer

Class to compute the PCA with.

PCARUNNER_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.SimpleCOP.Parameterizer

Parameter for the PCA runner class.

pDelta - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries.LCSSDistanceFunction.Parameterizer

Keeps the currently set pDelta.

pDelta - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries.LCSSDistanceFunction

Keeps the currently set pDelta.

PDELTA_ID - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries.LCSSDistanceFunction.Parameterizer

PDELTA parameter

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

pdf(double, double, double) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.BetaDistribution

Static version of the PDF of the beta distribution

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

pdf(double, double, double) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.CauchyDistribution

PDF function, static version.

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

pdf(double, double) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.ChiDistribution

PDF function

pdf(double, double) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.ChiSquaredDistribution

Chi-Squared distribution PDF (with 0.0 for x < 0)

pdf(double) - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.ConstantDistribution

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

Return the density of an existing value

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

pdf(double, double) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.ExponentialDistribution

PDF, static version

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

pdf(double, double, double, double) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.ExponentiallyModifiedGaussianDistribution

Probability density function of the ExGaussian distribution.

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

pdf(double, double, double) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.GammaDistribution

Gamma distribution PDF (with 0.0 for x < 0)

pdf(double, double, double, double) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.GeneralizedExtremeValueDistribution

PDF of GEV distribution

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

pdf(double, double, double, double) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.GeneralizedLogisticAlternateDistribution

Probability density function.

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

pdf(double, double, double, double) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.GeneralizedLogisticDistribution

Probability density function.

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

pdf(double, double, double, double) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.GeneralizedParetoDistribution

PDF of GEV distribution

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

pdf(double, double, double) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.GumbelDistribution

PDF of Weibull distribution

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

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

pdf(double, double, double, double, double) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.KappaDistribution

Probability density function.

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

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

pdf(double, double) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.LaplaceDistribution

PDF, static version

pdf(double) - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.LogGammaAlternateDistribution

pdf(double, double, double, double) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.LogGammaAlternateDistribution

LogGamma distribution PDF (with 0.0 for x < 0)

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

pdf(double, double, double, double) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.LogGammaDistribution

LogGamma distribution PDF (with 0.0 for x < 0)

pdf(double, double, double) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.LogisticDistribution

Probability density function.

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

pdf(double, double, double) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.LogLogisticDistribution

Probability density function.

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

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

pdf(double, double, double) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.LogNormalDistribution

Probability density function of the normal distribution.

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

pdf(double, double, double) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.NormalDistribution

Probability density function of the normal distribution.

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

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

pdf(double, double) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.RayleighDistribution

PDF of Rayleigh distribution

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

pdf(double, double, double, double) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.SkewGeneralizedNormalDistribution

Probability density function of the skewed normal distribution.

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

pdf(double, int) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.StudentsTDistribution

Static version of the t distribution's PDF.

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

pdf(double) - Method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.WaldDistribution

pdf(double, double, double) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.WaldDistribution

Probability density function of the Wald distribution.

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

pdf(double, double, double, double) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.WeibullDistribution

PDF of Weibull distribution

pdim - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.PreDeConNeighborPredicate.PreDeConModel

Preference dimensionality.

peanoSort(List<T>, int, int, double[], int[], int, long[], boolean) - Method in class de.lmu.ifi.dbs.elki.math.spacefillingcurves.PeanoSpatialSorter

Sort by Peano curve.

PeanoSpatialSorter - Class in de.lmu.ifi.dbs.elki.math.spacefillingcurves

Bulk-load an R-tree index by presorting the objects with their position on the Peano curve.

PeanoSpatialSorter() - Constructor for class de.lmu.ifi.dbs.elki.math.spacefillingcurves.PeanoSpatialSorter

Constructor.

PearsonCorrelation - Class in de.lmu.ifi.dbs.elki.math

Class to incrementally compute pearson correlation.

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

Constructor.

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

Compute the Pearson product-moment correlation coefficient for two NumberVectors.

pearsonCorrelationCoefficient(double[], double[]) - Static method in class de.lmu.ifi.dbs.elki.math.MathUtil

Compute the Pearson product-moment correlation coefficient for two FeatureVectors.

PearsonCorrelationDistanceFunction - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.correlation

Pearson correlation distance function for feature vectors.

PearsonCorrelationDistanceFunction() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.correlation.PearsonCorrelationDistanceFunction

Deprecated.

Use static instance!

PearsonCorrelationDistanceFunction.Parameterizer - Class in de.lmu.ifi.dbs.elki.distance.distancefunction.correlation

Parameterization class.

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

peek() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDListKNNHeap

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

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

Peek at the largest element in the heap.

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

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

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

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

peek() - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleHeap

Get the current top key

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

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

peek() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.Heap

Peek at the top element.

peek() - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerHeap

Get the current top key

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

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

peek() - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.heap.ObjectHeap

Get the current top key

peek() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.TiedTopBoundedHeap

peek() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.TiedTopBoundedUpdatableHeap

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

Peek the topmost distance.

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

Peek the topmost internal ID.

peekKey() - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleIntegerHeap

Get the current top key

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

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

peekKey() - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleLongHeap

Get the current top key

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

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

peekKey() - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleObjectHeap

Get the current top key

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

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

peekKey() - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerObjectHeap

Get the current top key

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

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

peekValue() - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleIntegerHeap

Get the current top value

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

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

peekValue() - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleLongHeap

Get the current top value

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

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

peekValue() - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleObjectHeap

Get the current top value

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

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

peekValue() - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerObjectHeap

Get the current top value

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

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

penalize - Variable in class de.lmu.ifi.dbs.elki.evaluation.clustering.internal.EvaluateSilhouette.Parameterizer

Penalize noise, if NoiseHandling.IGNORE_NOISE is set.

penalize - Variable in class de.lmu.ifi.dbs.elki.evaluation.clustering.internal.EvaluateSilhouette

Penalize noise, if NoiseHandling.IGNORE_NOISE is set.

penalize - Variable in class de.lmu.ifi.dbs.elki.evaluation.clustering.internal.EvaluateSimplifiedSilhouette.Parameterizer

Penalize noise, if NoiseHandling.IGNORE_NOISE is set.

penalize - Variable in class de.lmu.ifi.dbs.elki.evaluation.clustering.internal.EvaluateSimplifiedSilhouette

Penalize noise, if NoiseHandling.IGNORE_NOISE is set.

penalize - Variable in class de.lmu.ifi.dbs.elki.evaluation.clustering.internal.EvaluateVarianceRatioCriteria.Parameterizer

Penalize noise, if NoiseHandling.IGNORE_NOISE is set.

penalize - Variable in class de.lmu.ifi.dbs.elki.evaluation.clustering.internal.EvaluateVarianceRatioCriteria

Penalize noise, if NoiseHandling.IGNORE_NOISE is set.

pending - Variable in class de.lmu.ifi.dbs.elki.visualization.batikutil.JSVGUpdateSynchronizer

The current Runnable scheduled, prevents repeated invocations.

pendingRedraw - Variable in class de.lmu.ifi.dbs.elki.visualization.gui.VisualizationPlot

Pending redraw request in Batik.

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

Pending refresh, for lazy refreshing

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

Pending refresh, for lazy refreshing

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

Pending redraw

pEpsilon - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries.LCSSDistanceFunction.Parameterizer

Keeps the currently set pEpsilon.

pEpsilon - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries.LCSSDistanceFunction

Keeps the currently set pEpsilon.

PEPSILON_ID - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries.LCSSDistanceFunction.Parameterizer

PEPSILON parameter

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

Sampling percentage.

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

Percentage of the variance of the random Gaussian noise generation or of the range of the uniform distribution, given the variance of the corresponding attribute in the data.

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

Percentage of the variance of the random noise generation, given the variance of the corresponding attribute in the data.

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

Optional parameter to specify a percentage of the standard deviation of the random Gaussian noise generation, given the standard deviation of the corresponding attribute in the original data distribution (assuming a Gaussian there).

PercentageEigenPairFilter - Class in de.lmu.ifi.dbs.elki.math.linearalgebra.pca

The PercentageEigenPairFilter sorts the eigenpairs in descending order of their eigenvalues and marks the first eigenpairs, whose sum of eigenvalues is higher than the given percentage of the sum of all eigenvalues as strong eigenpairs.

PercentageEigenPairFilter(double) - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PercentageEigenPairFilter

Constructor.

PercentageEigenPairFilter.Parameterizer - Class in de.lmu.ifi.dbs.elki.math.linearalgebra.pca

Parameterization class.

perimeter(SpatialComparable) - Static method in class de.lmu.ifi.dbs.elki.data.spatial.SpatialUtil

Computes the perimeter of this SpatialComparable.

permutePivot(IntIntPair, IntIntPair) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.LinearEquationSystem

permutes two matrix rows and two matrix columns

PersistentPageFile<P extends ExternalizablePage> - Class in de.lmu.ifi.dbs.elki.persistent

A PersistentPageFile stores objects persistently that implement the Page interface.

PersistentPageFile(int, String, Class<P>) - Constructor for class de.lmu.ifi.dbs.elki.persistent.PersistentPageFile

Creates a new PersistentPageFile from an existing file.

PersistentPageFileFactory<P extends ExternalizablePage> - Class in de.lmu.ifi.dbs.elki.persistent

Page file factory for disk-based page files.

PersistentPageFileFactory(int, String) - Constructor for class de.lmu.ifi.dbs.elki.persistent.PersistentPageFileFactory

Constructor.

PersistentPageFileFactory.Parameterizer - Class in de.lmu.ifi.dbs.elki.persistent

Parameterization class.

PerturbationFilter<V extends NumberVector> - Class in de.lmu.ifi.dbs.elki.datasource.filter.transform

A filter to perturb the values by adding micro-noise.

PerturbationFilter(Long, double, PerturbationFilter.ScalingReference, double[], double[], PerturbationFilter.NoiseDistribution) - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.transform.PerturbationFilter

Constructor.

PerturbationFilter.NoiseDistribution - Enum in de.lmu.ifi.dbs.elki.datasource.filter.transform

Nature of the noise distribution.

PerturbationFilter.Parameterizer<V extends NumberVector> - Class in de.lmu.ifi.dbs.elki.datasource.filter.transform

Parameterization class.

PerturbationFilter.ScalingReference - Enum in de.lmu.ifi.dbs.elki.datasource.filter.transform

Scaling reference options.

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

Hilbert representation ("point features")

phi - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.subspace.AbstractAggarwalYuOutlier.Parameterizer

Phi parameter.

phi - Variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.subspace.AbstractAggarwalYuOutlier

The number of partitions for each dimension.

phi - Variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.COPOutlierScaling.Parameterizer

Phi value.

phi - Variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.COPOutlierScaling

Phi parameter.

PHI_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.outlier.subspace.AbstractAggarwalYuOutlier.Parameterizer

OptionID for the grid size.

PHI_ID - Static variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.COPOutlierScaling.Parameterizer

Phi parameter.

PHIINV075 - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.distribution.NormalDistribution

CDFINV(0.75)

PINN<O extends NumberVector> - Class in de.lmu.ifi.dbs.elki.index.projected

Projection-Indexed nearest-neighbors (PINN) is an index to retrieve the nearest neighbors in high dimensional spaces by using a random projection based index.

PINN(IndexFactory<O, ?>, int, double, double, RandomFactory) - Constructor for class de.lmu.ifi.dbs.elki.index.projected.PINN

Constructor.

PINN.Parameterizer<O extends NumberVector> - Class in de.lmu.ifi.dbs.elki.index.projected

Parameterization class.

pinv - Variable in class tutorial.distancefunction.MultiLPNorm

Normalization factor (count(ps)/sum(ps))

PISQUARE - Static variable in class de.lmu.ifi.dbs.elki.math.MathUtil

Pi squared

piv - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.LUDecomposition

Internal storage of pivot vector.

pivotizeList1D(List<T>, int, int, int, double, boolean) - Method in class de.lmu.ifi.dbs.elki.math.spacefillingcurves.AbstractSpatialSorter

"Pivotize" the list, such that all elements before the given position are less than, all elements after the position are larger than the threshold value in the given dimension.

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

performs a pivot operation

pivsign - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.LUDecomposition

Row and column dimensions, and pivot sign.

PixmapResult - Interface in de.lmu.ifi.dbs.elki.result

Result encapsulating a single image.

PixmapVisualizer - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj

Visualize an arbitrary pixmap result.

PixmapVisualizer() - Constructor for class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.PixmapVisualizer

Constructor.

PixmapVisualizer.Instance - Class in de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj

Instance.

pkgname - Variable in class de.lmu.ifi.dbs.elki.gui.util.ClassTree.PackageNode

Class name.

plaintextEditor - Variable in class de.lmu.ifi.dbs.elki.gui.util.ParameterTable.AdjustingEditor

The plain text cell editor

plambda - Variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.SqrtStandardDeviationScaling

Predefined lambda scaling factor.

plot - Variable in class de.lmu.ifi.dbs.elki.visualization.batikutil.JSVGSynchronizedCanvas

Current SVG plot.

plot - Variable in class de.lmu.ifi.dbs.elki.visualization.batikutil.NodeAppendChild

The plot (for ID updates).

plot - Variable in class de.lmu.ifi.dbs.elki.visualization.batikutil.NodeReplaceByID

Plot to work in.

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

The SVG plot object.

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

The Optics plot.

plot - Variable in class de.lmu.ifi.dbs.elki.visualization.projector.OPTICSProjector

OPTICS plot image

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

Plot

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

Plot the thumbnail is in.

plotForClusterOrder(ClusterOrder, VisualizerContext) - Static method in class de.lmu.ifi.dbs.elki.visualization.opticsplot.OPTICSPlot

Static method to find an optics plot for a result, or to create a new one using the given context.

plotGray(SVGPlot, Element, double, double, double) - Method in class de.lmu.ifi.dbs.elki.visualization.style.marker.PrettyMarkers

Plot a replacement marker when an object is to be plotted as "disabled", usually gray.

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

Grayed out objects

plotheight - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.optics.AbstractOPTICSVisualization

Height of plot (in display units)

PlotItem - Class in de.lmu.ifi.dbs.elki.visualization.gui.overview

Item to collect visualization tasks on a specific position on the plot map.

PlotItem(double, double, Projection) - Constructor for class de.lmu.ifi.dbs.elki.visualization.gui.overview.PlotItem

Constructor.

PlotItem(double, double, double, double, Projection) - Constructor for class de.lmu.ifi.dbs.elki.visualization.gui.overview.PlotItem

Constructor.

PlotItem(PlotItem) - Constructor for class de.lmu.ifi.dbs.elki.visualization.gui.overview.PlotItem

Clone constructor.

PlotItem.ItmItr - Class in de.lmu.ifi.dbs.elki.visualization.gui.overview

Recursive iterator

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

Layer for plot thumbnail

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

Map of coordinates to plots.

plotMarker(SVGPlot, Element, double, double, int, double) - Method in class de.lmu.ifi.dbs.elki.visualization.style.marker.PrettyMarkers

Draw an marker used in scatter plots.

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

The plot number for Batik

plotUncolored(SVGPlot, Element, double, double, double) - Method in class de.lmu.ifi.dbs.elki.visualization.style.marker.PrettyMarkers

Plot a replacement marker when no color is set; usually black

plotwidth - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.optics.AbstractOPTICSVisualization

Width of plot (in display units)

plus(Matrix) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix

C = A + B

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

C = A + s

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

Returns a new vector which is the result of this vector plus the specified vector.

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

Computes v1 + v2 for vectors.

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

Computes v1 + d

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

m3 = m1 + m2

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

C = A + s

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

A = A + s

plusEquals(Matrix) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix

A = A + B

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

A = A + s

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

a = a + b.

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

Add a constant value to all dimensions.

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

Computes v1 = v1 + v2, overwriting v1

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

Computes v1 = v1 + d, overwriting v1

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

m1 = m1 + m2, overwriting m1

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

C = A + s * B

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

Returns a new vector which is the result of this vector plus the specified vector times the given factor.

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

Computes v1 + v2 * s2

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

m3 = m1 + s2 * m2

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

A = A + s * B

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

a = a + s * b.

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

Computes v1 = v1 + v2 * s2, overwriting v1

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

m1 = m1 + s2 * m2, overwriting m1

pmax - Variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.OutlierSqrtScaling

Predefined minimum and maximum values.

pmean - Variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.SqrtStandardDeviationScaling

Predefined parameters.

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

Poisson probability mass function (PMF) for integer values.

pmf(double, int, double) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.PoissonDistribution

Poisson probability mass function (PMF) for integer values.

pmin - Variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.OutlierSqrtScaling

Predefined minimum and maximum values.

pmin - Variable in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.SqrtStandardDeviationScaling

Predefined parameters.

PointerDensityHierarchyRepresentationResult - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical

Extended pointer representation useful for HDBSCAN.

PointerDensityHierarchyRepresentationResult(DBIDs, DBIDDataStore, DoubleDataStore, DoubleDataStore) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.PointerDensityHierarchyRepresentationResult

Constructor.

PointerHierarchyRepresentationResult - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical

The pointer representation of a hierarchical clustering.

PointerHierarchyRepresentationResult(DBIDs, DBIDDataStore, DoubleDataStore) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.PointerHierarchyRepresentationResult

Constructor.

points - Variable in class de.lmu.ifi.dbs.elki.data.spatial.Polygon

The actual points

points - Variable in class de.lmu.ifi.dbs.elki.data.synthetic.bymodel.GeneratorStatic

Cluster points

points - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.fastoptics.RandomProjectedNeighborssAndDensities

entire point set

points - Variable in class de.lmu.ifi.dbs.elki.math.geometry.AlphaShape

Points

points - Variable in class de.lmu.ifi.dbs.elki.math.geometry.GrahamScanConvexHull2D

The current set of points

points - Variable in class de.lmu.ifi.dbs.elki.math.geometry.SweepHullDelaunay2D

The current set of points.

POISSON_THRESHOLD_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.P3C.Parameterizer

Parameter for the poisson test threshold.

PoissonDistribution - Class in de.lmu.ifi.dbs.elki.math.statistics.distribution

INCOMPLETE implementation of the poisson distribution.

PoissonDistribution(int, double) - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.PoissonDistribution

Constructor.

PoissonDistribution(int, double, Random) - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.PoissonDistribution

Constructor.

PoissonDistribution(int, double, RandomFactory) - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.distribution.PoissonDistribution

Constructor.

PoissonDistribution.Parameterizer - Class in de.lmu.ifi.dbs.elki.math.statistics.distribution

Parameterization class

poissonPDFm1(double, double) - Static method in class de.lmu.ifi.dbs.elki.math.statistics.distribution.PoissonDistribution

Compute the poisson distribution PDF with an offset of + 1 pdf(x_plus_1 - 1, lambda)

poissonThreshold - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.P3C.Parameterizer

Parameter for the poisson test threshold.

poissonThreshold - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.P3C

Parameter for the Poisson test threshold.

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

Styling policy

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

poll() - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDListKNNHeap

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

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

Poll the largest element from the heap.

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

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

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

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

poll() - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleHeap

Remove the first element

poll() - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleIntegerHeap

Remove the first element

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

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

poll() - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleLongHeap

Remove the first element

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

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

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

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

poll() - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleObjectHeap

Remove the first element

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

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

poll() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.Heap

Remove the top element.

poll() - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerHeap

Remove the first element

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

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

poll() - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerObjectHeap

Remove the first element

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

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

poll() - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.heap.ObjectHeap

Remove the first element

poll() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.TiedTopBoundedHeap

poll() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.TiedTopBoundedUpdatableHeap

poll() - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.UpdatableHeap

Polygon - Class in de.lmu.ifi.dbs.elki.data.spatial

Class representing a simple polygon.

Polygon(List<Vector>) - Constructor for class de.lmu.ifi.dbs.elki.data.spatial.Polygon

Constructor.

Polygon(List<Vector>, double, double, double, double) - Constructor for class de.lmu.ifi.dbs.elki.data.spatial.Polygon

POLYGON_SEPARATOR - Static variable in class de.lmu.ifi.dbs.elki.datasource.parser.SimplePolygonParser

Polygon separator

POLYGON_TYPE - Static variable in class de.lmu.ifi.dbs.elki.data.type.TypeUtil

Type for polygons.

polygons - Variable in class de.lmu.ifi.dbs.elki.data.spatial.PolygonsObject

The polygons

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

Polygons style

PolygonsObject - Class in de.lmu.ifi.dbs.elki.data.spatial

Object representation consisting of (multiple) polygons.

PolygonsObject(Collection<Polygon>) - Constructor for class de.lmu.ifi.dbs.elki.data.spatial.PolygonsObject

Constructor.

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

Renders PolygonsObject in the data set.

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

Constructor

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

Instance

PolynomialApproximation - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp

Provides an polynomial approximation bo + b1*k + b2*k^2 + ... + bp*k^p for knn-distances consisting of parameters b0, ..., bp.

PolynomialApproximation() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp.PolynomialApproximation

Empty constructor for serialization purposes.

PolynomialApproximation(double[]) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp.PolynomialApproximation

Provides an polynomial approximation bo + b1*k + b2*k^2 + ... + bp*k^p for knn-distances consisting of parameters b0, ..., bp.

PolynomialKernelFunction - Class in de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel

Polynomial Kernel function that computes a similarity between the two feature vectors V1 and V2 defined by (V1^T*V2)^degree.

PolynomialKernelFunction(int, double) - Constructor for class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.PolynomialKernelFunction

Constructor.

PolynomialKernelFunction(int) - Constructor for class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.PolynomialKernelFunction

Constructor.

PolynomialKernelFunction.Parameterizer - Class in de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel

Parameterization class.

PolynomialRegression - Class in de.lmu.ifi.dbs.elki.math.statistics

A polynomial fit is a specific type of multiple regression.

PolynomialRegression(Vector, Vector, int) - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.PolynomialRegression

Constructor.

polys - Variable in class de.lmu.ifi.dbs.elki.datasource.parser.SimplePolygonParser

(Reused) storage of polygons.

POLYS - Static variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.PolygonVisualization.Instance

Generic tag to indicate the type of element.

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

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

Pop the topmost element.

pop(DBIDVar) - Method in class de.lmu.ifi.dbs.elki.database.ids.integer.TroveHashSetModifiableDBIDs

pop(DBIDVar) - Method in interface de.lmu.ifi.dbs.elki.database.ids.ModifiableDBIDs

Pop (get and remove) one DBID from the set, into a variable.

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

The popup we use.

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

The popup we use.

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

The popup menu.

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

Our port

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

Listen port

PORT_ID - Static variable in class de.lmu.ifi.dbs.elki.application.jsmap.JSONResultHandler.Parameterizer

Port to use for listening

pos - Variable in class de.lmu.ifi.dbs.elki.database.ids.generic.KNNSubList.Itr

Current position.

pos - Variable in class de.lmu.ifi.dbs.elki.database.ids.generic.MaskedDBIDs.DBIDItr

Current position.

pos - Variable in class de.lmu.ifi.dbs.elki.database.ids.generic.MaskedDBIDs.InvDBIDItr

Next position.

pos - Variable in class de.lmu.ifi.dbs.elki.database.ids.integer.ArrayModifiableIntegerDBIDs.Itr

Iterator position.

pos - Variable in class de.lmu.ifi.dbs.elki.database.ids.integer.ArrayModifiableIntegerDBIDs.Slice.SliceItr

Iterator position.

pos - Variable in class de.lmu.ifi.dbs.elki.database.ids.integer.ArrayStaticIntegerDBIDs.Itr

Position within array.

pos - Variable in class de.lmu.ifi.dbs.elki.database.ids.integer.ArrayStaticIntegerDBIDs.Slice.SliceItr

Iterator position.

pos - Variable in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDList.Itr

Current offset.

pos - Variable in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDPairKNNListHeap.Itr

Cursor position.

pos - Variable in class de.lmu.ifi.dbs.elki.database.ids.integer.DoubleIntegerDBIDPairList.Itr

pos - Variable in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBID.Itr

Iterator position: We use an integer so we can support retract().

pos - Variable in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDKNNSubList.Itr

Current position.

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

State

pos - Variable in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDRange.Itr

Current position.

pos - Variable in class de.lmu.ifi.dbs.elki.database.ids.integer.IntegerDBIDVar.Itr

Iterator position: We use an integer so we can support retract().

pos - Variable in class de.lmu.ifi.dbs.elki.evaluation.classification.holdout.LeaveOneOut

Size of the data set.

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

Current position.

pos - Variable in class de.lmu.ifi.dbs.elki.math.geometry.XYCurve.Itr

Iterator position

pos - Variable in class de.lmu.ifi.dbs.elki.math.geometry.XYPlot.Curve.Itr

Iterator position

pos - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.ComparableMaxHeap.UnsortedIter

Iterator position.

pos - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.ComparableMinHeap.UnsortedIter

Iterator position.

pos - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.ComparatorMaxHeap.UnsortedIter

Iterator position.

pos - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.ComparatorMinHeap.UnsortedIter

Iterator position.

pos - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleIntegerMaxHeap.UnsortedIter

Iterator position.

pos - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleIntegerMinHeap.UnsortedIter

Iterator position.

pos - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleLongMaxHeap.UnsortedIter

Iterator position.

pos - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleLongMinHeap.UnsortedIter

Iterator position.

pos - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleMaxHeap.UnsortedIter

Iterator position.

pos - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleMinHeap.UnsortedIter

Iterator position.

pos - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleObjectMaxHeap.UnsortedIter

Iterator position.

pos - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoubleObjectMinHeap.UnsortedIter

Iterator position.

pos - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.Heap.UnorderedIter

Current iterator position.

pos - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerMaxHeap.UnsortedIter

Iterator position.

pos - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerMinHeap.UnsortedIter

Iterator position.

pos - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerObjectMaxHeap.UnsortedIter

Iterator position.

pos - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerObjectMinHeap.UnsortedIter

Iterator position.

pos - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.HashMapHierarchy.ItrAll

pos - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.HashMapHierarchy.Rec.ItrChildren

pos - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.HashMapHierarchy.Rec.ItrChildrenReverse

pos - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.HashMapHierarchy.Rec.ItrParents

pos - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.HashMapHierarchy.Rec.ItrParentsReverse

pos - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.iterator.ArrayListIter

Current position.

pos - Variable in class de.lmu.ifi.dbs.elki.utilities.io.LineReader

Current position, and length of buffer

positions - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.NaiveProjectedKNNPreprocessor

Curve position storage

positions - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.SpacefillingKNNPreprocessor

Curve position storage

positive - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.typeconversions.ClassLabelFromPatternFilter.Parameterizer

Names for positive and negative classes.

positive - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.typeconversions.ClassLabelFromPatternFilter

Label to return for positive matches.

positive - Variable in class de.lmu.ifi.dbs.elki.evaluation.outlier.OutlierPrecisionRecallCurve.PRCurve

Number of positive observations

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

The object pattern to identify positive classes Key: -comphist.positive

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

The distance function to determine the reachability distance between database objects.

POSITIVE_CLASS_NAME_ID - Static variable in class de.lmu.ifi.dbs.elki.evaluation.outlier.OutlierPrecisionAtKCurve.Parameterizer

The pattern to identify positive classes.

POSITIVE_CLASS_NAME_ID - Static variable in class de.lmu.ifi.dbs.elki.evaluation.outlier.OutlierPrecisionRecallCurve.Parameterizer

The pattern to identify positive classes.

POSITIVE_CLASS_NAME_ID - Static variable in class de.lmu.ifi.dbs.elki.evaluation.outlier.OutlierRankingEvaluation.Parameterizer

The pattern to identify positive classes.

POSITIVE_CLASS_NAME_ID - Static variable in class de.lmu.ifi.dbs.elki.evaluation.outlier.OutlierROCCurve.Parameterizer

The pattern to identify positive classes.

POSITIVE_ID - Static variable in class de.lmu.ifi.dbs.elki.datasource.filter.typeconversions.ClassLabelFromPatternFilter.Parameterizer

Class label to assign to positive instances.

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

Stores the "positive" class.

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

Stores the "positive" class.

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

Stores the "positive" class.

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

Stores the "positive" class.

positiveClassName - Variable in class de.lmu.ifi.dbs.elki.evaluation.outlier.OutlierPrecisionAtKCurve.Parameterizer

Stores the "positive" class.

positiveClassName - Variable in class de.lmu.ifi.dbs.elki.evaluation.outlier.OutlierPrecisionAtKCurve

Stores the "positive" class.

positiveClassName - Variable in class de.lmu.ifi.dbs.elki.evaluation.outlier.OutlierPrecisionRecallCurve.Parameterizer

positiveClassName - Variable in class de.lmu.ifi.dbs.elki.evaluation.outlier.OutlierPrecisionRecallCurve

Stores the "positive" class.

positiveClassName - Variable in class de.lmu.ifi.dbs.elki.evaluation.outlier.OutlierRankingEvaluation.Parameterizer

Pattern for positive class.

positiveClassName - Variable in class de.lmu.ifi.dbs.elki.evaluation.outlier.OutlierRankingEvaluation

Stores the "positive" class.

positiveClassName - Variable in class de.lmu.ifi.dbs.elki.evaluation.outlier.OutlierROCCurve.Parameterizer

Pattern for positive class.

positiveClassName - Variable in class de.lmu.ifi.dbs.elki.evaluation.outlier.OutlierROCCurve

Stores the "positive" class.

positiveClassName - Variable in class de.lmu.ifi.dbs.elki.evaluation.outlier.OutlierSmROCCurve.Parameterizer

Pattern for positive class.

positiveClassName - Variable in class de.lmu.ifi.dbs.elki.evaluation.outlier.OutlierSmROCCurve

Stores the "positive" class.

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

Provides the positive predicted value for the specified class.

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

Provides the positive predicted value.

postDelete(E) - Method in class de.lmu.ifi.dbs.elki.index.tree.IndexTree

Performs necessary operations after deleting the specified entry.

postDelete(RdKNNEntry) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn.RdKNNTree

Performs necessary operations after deleting the specified object.

POW5_INT - Static variable in class de.lmu.ifi.dbs.elki.utilities.BitsUtil

Precomputed powers of 5 for pow5, pow10 on the bit representation.

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

Fast loop for computing Math.pow(x, p) for p >= 0 integer.

PRAUC_LABEL - Static variable in class de.lmu.ifi.dbs.elki.evaluation.outlier.OutlierPrecisionRecallCurve.PRCurve

AUC value for PR curve

PRCurve(int, int) - Constructor for class de.lmu.ifi.dbs.elki.evaluation.outlier.OutlierPrecisionRecallCurve.PRCurve

Constructor.

precision() - Method in class de.lmu.ifi.dbs.elki.evaluation.clustering.BCubed

Get the BCubed Precision (first clustering) (normalized, 0 = unequal)

precision() - Method in class de.lmu.ifi.dbs.elki.evaluation.clustering.PairCounting

Computes the pair-counting precision.

PRECISION - Static variable in class de.lmu.ifi.dbs.elki.math.dimensionsimilarity.SlopeDimensionSimilarity

Full precision.

PRECISION - Static variable in class de.lmu.ifi.dbs.elki.math.geodesy.AbstractEarthModel

Maximum desired precision.

PRECISION - Static variable in class de.lmu.ifi.dbs.elki.math.geodesy.SphereUtil

Maximum desired precision.

PRECISION - Static variable in class de.lmu.ifi.dbs.elki.math.statistics.dependence.SlopeDependenceMeasure

Full precision.

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

Preallocated exceptions.

PrecisionAtKCurve(String, String, int) - Constructor for class de.lmu.ifi.dbs.elki.evaluation.outlier.OutlierPrecisionAtKCurve.PrecisionAtKCurve

Constructor.

PrecisionAtKEvaluation - Class in de.lmu.ifi.dbs.elki.evaluation.scores

Evaluate using Precision@k, or R-precision (when k=0).

PrecisionAtKEvaluation(int) - Constructor for class de.lmu.ifi.dbs.elki.evaluation.scores.PrecisionAtKEvaluation

Constructor.

PrecisionAtKEvaluation.Parameterizer - Class in de.lmu.ifi.dbs.elki.evaluation.scores

Parameterization class.

PrecomputedDistanceMatrix<O> - Class in de.lmu.ifi.dbs.elki.index.distancematrix

Distance matrix, for precomputing similarity for a small data set.

PrecomputedDistanceMatrix(Relation<O>, DistanceFunction<? super O>) - Constructor for class de.lmu.ifi.dbs.elki.index.distancematrix.PrecomputedDistanceMatrix

Constructor.

PrecomputedDistanceMatrix.Factory<O> - Class in de.lmu.ifi.dbs.elki.index.distancematrix

Factory for the index.

PrecomputedDistanceMatrix.Factory.Parameterizer<O> - Class in de.lmu.ifi.dbs.elki.index.distancematrix

Parameterizer.

PrecomputedDistanceMatrix.PrecomputedDistanceQuery - Class in de.lmu.ifi.dbs.elki.index.distancematrix

Distance query using the precomputed matrix.

PrecomputedDistanceQuery() - Constructor for class de.lmu.ifi.dbs.elki.index.distancematrix.PrecomputedDistanceMatrix.PrecomputedDistanceQuery

PrecomputedKNearestNeighborNeighborhood - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood

Neighborhoods based on k nearest neighbors.

PrecomputedKNearestNeighborNeighborhood(DataStore<DBIDs>) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood.PrecomputedKNearestNeighborNeighborhood

Constructor.

PrecomputedKNearestNeighborNeighborhood.Factory<O> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood

Factory class to instantiate for a particular relation.

PrecomputedKNearestNeighborNeighborhood.Factory.Parameterizer<O> - Class in de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood

Parameterization class

precomputedKNNQuery(Database, Relation<O>, DistanceQuery<O>, int) - Static method in class de.lmu.ifi.dbs.elki.utilities.DatabaseUtil

Get (or create) a precomputed kNN query for the database.

precomputedKNNQuery(Database, Relation<O>, DistanceFunction<? super O>, int) - Static method in class de.lmu.ifi.dbs.elki.utilities.DatabaseUtil

Get (or create) a precomputed kNN query for the database.

precomputeInterestingRadii(DBIDs, RangeQuery<O>, WritableDataStore<LOCI.DoubleIntArrayList>) - Method in class de.lmu.ifi.dbs.elki.algorithm.outlier.lof.LOCI

Preprocessing step: determine the radii of interest for each point.

predecessor - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.optics.ClusterOrder

Predecessor storage.

predecessor - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.optics.GeneralizedOPTICS.Instance

Predecessor storage.

predecessor - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.optics.OPTICSList.Instance

Predecessor storage.

predecessorID - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.optics.OPTICSHeapEntry

The id of the entry's predecessor.

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

PreDeCon computes clusters of subspace preference weighted connected points.

PreDeCon(PreDeCon.Settings) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.PreDeCon

Constructor.

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

Parameterization class.

PreDeCon.Settings - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.subspace

Class containing all the PreDeCon settings.

PreDeCon.Settings.Parameterizer - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.subspace

Parameterization class.

PreDeConCorePredicate - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan

The PreDeCon core point predicate -- having at least minpts. neighbors, and a maximum preference dimensionality of lambda.

PreDeConCorePredicate(PreDeCon.Settings) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.PreDeConCorePredicate

Default constructor.

PreDeConCorePredicate.Instance - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan

Instance for a particular data set.

PreDeConCorePredicate.Parameterizer - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan

Parameterization class

PreDeConModel(int, SetDBIDs) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.PreDeConNeighborPredicate.PreDeConModel

PreDeCon model.

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

Neighborhood predicate used by PreDeCon.

PreDeConNeighborPredicate(PreDeCon.Settings) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.PreDeConNeighborPredicate

Constructor.

PreDeConNeighborPredicate.Instance - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan

Instance for a particular data set.

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

Parameterization class.

PreDeConNeighborPredicate.PreDeConModel - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan

Model used by PreDeCon for core point property.

PredefinedInitialMeans - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.initialization

Run k-means with prespecified initial means.

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

Constructor.

PredefinedInitialMeans(double[][]) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.initialization.PredefinedInitialMeans

Constructor.

PredefinedInitialMeans.Parameterizer - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.initialization

Parameterization class.

prediction - Variable in class de.lmu.ifi.dbs.elki.algorithm.classification.PriorProbabilityClassifier

Index of the most abundant class.

preDistance(NumberVector, NumberVector, int, int, double) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.EuclideanDistanceFunction

preDistance(NumberVector, NumberVector, int, int, double) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.LPIntegerNormDistanceFunction

preDistance(NumberVector, NumberVector, int, int, double) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.LPNormDistanceFunction

Compute unscaled distance in a range of dimensions.

preDistance(NumberVector, NumberVector, int, int, double) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.ManhattanDistanceFunction

preDistance(NumberVector, NumberVector, int, int, double) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.MaximumDistanceFunction

preDistance(NumberVector, NumberVector, int, int, double) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.SquaredEuclideanDistanceFunction

preDistance(NumberVector, NumberVector, int, int, double) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.WeightedEuclideanDistanceFunction

preDistance(NumberVector, NumberVector, int, int, double) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.WeightedLPNormDistanceFunction

preDistance(NumberVector, NumberVector, int, int, double) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.WeightedManhattanDistanceFunction

preDistance(NumberVector, NumberVector, int, int, double) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.WeightedMaximumDistanceFunction

preDistanceMBR(SpatialComparable, SpatialComparable, int, int, double) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.EuclideanDistanceFunction

preDistanceMBR(SpatialComparable, SpatialComparable, int, int, double) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.LPIntegerNormDistanceFunction

preDistanceMBR(SpatialComparable, SpatialComparable, int, int, double) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.LPNormDistanceFunction

Compute unscaled distance in a range of dimensions.

preDistanceMBR(SpatialComparable, SpatialComparable, int, int, double) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.ManhattanDistanceFunction

preDistanceMBR(SpatialComparable, SpatialComparable, int, int, double) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.MaximumDistanceFunction

preDistanceMBR(SpatialComparable, SpatialComparable, int, int, double) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.SquaredEuclideanDistanceFunction

preDistanceMBR(SpatialComparable, SpatialComparable, int, int, double) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.WeightedEuclideanDistanceFunction

preDistanceMBR(SpatialComparable, SpatialComparable, int, int, double) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.WeightedLPNormDistanceFunction

preDistanceMBR(SpatialComparable, SpatialComparable, int, int, double) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.WeightedManhattanDistanceFunction

preDistanceMBR(SpatialComparable, SpatialComparable, int, int, double) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.WeightedMaximumDistanceFunction

preDistanceVM(NumberVector, SpatialComparable, int, int, double) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.EuclideanDistanceFunction

preDistanceVM(NumberVector, SpatialComparable, int, int, double) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.LPIntegerNormDistanceFunction

preDistanceVM(NumberVector, SpatialComparable, int, int, double) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.LPNormDistanceFunction

Compute unscaled distance in a range of dimensions.

preDistanceVM(NumberVector, SpatialComparable, int, int, double) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.ManhattanDistanceFunction

preDistanceVM(NumberVector, SpatialComparable, int, int, double) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.MaximumDistanceFunction

preDistanceVM(NumberVector, SpatialComparable, int, int, double) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.SquaredEuclideanDistanceFunction

preDistanceVM(NumberVector, SpatialComparable, int, int, double) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.WeightedEuclideanDistanceFunction

preDistanceVM(NumberVector, SpatialComparable, int, int, double) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.WeightedLPNormDistanceFunction

preDistanceVM(NumberVector, SpatialComparable, int, int, double) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.WeightedManhattanDistanceFunction

preDistanceVM(NumberVector, SpatialComparable, int, int, double) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.WeightedMaximumDistanceFunction

PREFER_GTK - Static variable in class de.lmu.ifi.dbs.elki.gui.GUIUtil

Whether to prefer the GTK look and feel on Unix.

PreferenceComparator() - Constructor for class tutorial.clustering.SameSizeKMeansAlgorithm.PreferenceComparator

PreferenceVectorIndex<NV extends NumberVector> - Interface in de.lmu.ifi.dbs.elki.index.preprocessed.preference

Interface for an index providing preference vectors.

PreferenceVectorIndex.Factory<V extends NumberVector,I extends PreferenceVectorIndex<V>> - Interface in de.lmu.ifi.dbs.elki.index.preprocessed.preference

Factory interface

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

Prefix for statistics.

PREFIX - Static variable in class de.lmu.ifi.dbs.elki.evaluation.clustering.LogClusterSizes

Prefix for logged statistics.

prefix - Variable in class de.lmu.ifi.dbs.elki.utilities.ELKIServiceScanner.DirClassIterator

prefix - Variable in class de.lmu.ifi.dbs.elki.visualization.style.marker.PrettyMarkers

Prefix for the IDs generated.

prefixTest(SparseItemset) - Method in class de.lmu.ifi.dbs.elki.algorithm.itemsetmining.SparseItemset

Perform the prefix test for sparse itemset.

preInsert(E) - Method in class de.lmu.ifi.dbs.elki.index.tree.IndexTree

Performs necessary operations before inserting the specified entry.

preInsert(MkAppEntry) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppTree

preInsert(MkCoPEntry) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPTree

preInsert(MkMaxEntry) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax.MkMaxTree

Adapts the knn distances before insertion of the specified entry.

preInsert(MkMaxEntry, MkMaxEntry, KNNHeap) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax.MkMaxTree

Adapts the knn distances before insertion of entry q.

preInsert(MkTabEntry) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab.MkTabTree

preInsert(MTreeEntry) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mtree.MTree

Does nothing because no operations are necessary before inserting an entry.

preInsert(RdKNNEntry) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn.RdKNNTree

Performs necessary operations before inserting the specified entry.

preInsert(RdKNNEntry, RdKNNEntry, KNNHeap) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn.RdKNNTree

Adapts the knn distances before insertion of entry q.

preNorm(NumberVector, int, int, double) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.EuclideanDistanceFunction

preNorm(NumberVector, int, int, double) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.LPIntegerNormDistanceFunction

preNorm(NumberVector, int, int, double) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.LPNormDistanceFunction

Compute unscaled norm in a range of dimensions.

preNorm(NumberVector, int, int, double) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.ManhattanDistanceFunction

preNorm(NumberVector, int, int, double) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.MaximumDistanceFunction

preNorm(NumberVector, int, int, double) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.SquaredEuclideanDistanceFunction

preNorm(NumberVector, int, int, double) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.WeightedEuclideanDistanceFunction

preNorm(NumberVector, int, int, double) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.WeightedLPNormDistanceFunction

preNorm(NumberVector, int, int, double) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.WeightedManhattanDistanceFunction

preNorm(NumberVector, int, int, double) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.WeightedMaximumDistanceFunction

preNormMBR(SpatialComparable, int, int, double) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.EuclideanDistanceFunction

preNormMBR(SpatialComparable, int, int, double) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.LPIntegerNormDistanceFunction

preNormMBR(SpatialComparable, int, int, double) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.LPNormDistanceFunction

Compute unscaled norm in a range of dimensions.

preNormMBR(SpatialComparable, int, int, double) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.ManhattanDistanceFunction

preNormMBR(SpatialComparable, int, int, double) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.MaximumDistanceFunction

preNormMBR(SpatialComparable, int, int, double) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.SquaredEuclideanDistanceFunction

preNormMBR(SpatialComparable, int, int, double) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.WeightedEuclideanDistanceFunction

preNormMBR(SpatialComparable, int, int, double) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.WeightedLPNormDistanceFunction

preNormMBR(SpatialComparable, int, int, double) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.WeightedManhattanDistanceFunction

preNormMBR(SpatialComparable, int, int, double) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski.WeightedMaximumDistanceFunction

prepare(OutlierResult) - Method in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.COPOutlierScaling

prepare(A, NumberArrayAdapter<?, A>) - Method in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.COPOutlierScaling

prepare(OutlierResult) - Method in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.HeDESNormalizationOutlierScaling

prepare(A, NumberArrayAdapter<?, A>) - Method in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.HeDESNormalizationOutlierScaling

prepare(OutlierResult) - Method in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.LogRankingPseudoOutlierScaling

prepare(A, NumberArrayAdapter<?, A>) - Method in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.LogRankingPseudoOutlierScaling

prepare(OutlierResult) - Method in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.MinusLogGammaScaling

prepare(OutlierResult) - Method in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.MinusLogStandardDeviationScaling

prepare(OutlierResult) - Method in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.MixtureModelOutlierScalingFunction

prepare(A, NumberArrayAdapter<?, A>) - Method in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.MixtureModelOutlierScalingFunction

prepare(OutlierResult) - Method in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.MultiplicativeInverseScaling

prepare(A, NumberArrayAdapter<?, A>) - Method in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.MultiplicativeInverseScaling

prepare(OutlierResult) - Method in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.OutlierGammaScaling

prepare(A, NumberArrayAdapter<?, A>) - Method in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.OutlierGammaScaling

prepare(OutlierResult) - Method in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.OutlierLinearScaling

prepare(A, NumberArrayAdapter<?, A>) - Method in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.OutlierLinearScaling

prepare(OutlierResult) - Method in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.OutlierMinusLogScaling

prepare(A, NumberArrayAdapter<?, A>) - Method in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.OutlierMinusLogScaling

prepare(OutlierResult) - Method in interface de.lmu.ifi.dbs.elki.utilities.scaling.outlier.OutlierScalingFunction

Prepare is called once for each data set, before getScaled() will be called.

prepare(A, NumberArrayAdapter<?, A>) - Method in interface de.lmu.ifi.dbs.elki.utilities.scaling.outlier.OutlierScalingFunction

Prepare is called once for each data set, before getScaled() will be called.

prepare(OutlierResult) - Method in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.OutlierSqrtScaling

prepare(A, NumberArrayAdapter<?, A>) - Method in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.OutlierSqrtScaling

prepare(OutlierResult) - Method in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.RankingPseudoOutlierScaling

prepare(A, NumberArrayAdapter<?, A>) - Method in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.RankingPseudoOutlierScaling

prepare(OutlierResult) - Method in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.SigmoidOutlierScalingFunction

prepare(A, NumberArrayAdapter<?, A>) - Method in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.SigmoidOutlierScalingFunction

prepare(OutlierResult) - Method in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.SqrtStandardDeviationScaling

prepare(A, NumberArrayAdapter<?, A>) - Method in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.SqrtStandardDeviationScaling

prepare(OutlierResult) - Method in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.StandardDeviationScaling

prepare(A, NumberArrayAdapter<?, A>) - Method in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.StandardDeviationScaling

prepare(OutlierResult) - Method in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.TopKOutlierScaling

prepare(A, NumberArrayAdapter<?, A>) - Method in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.TopKOutlierScaling

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

Complete the initialization phase.

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

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

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

prepareComplete() - Method in class de.lmu.ifi.dbs.elki.datasource.filter.transform.GlobalPrincipalComponentAnalysisTransform

prepareComplete() - Method in class de.lmu.ifi.dbs.elki.datasource.filter.transform.PerturbationFilter

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

Process a single object during initialization.

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

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

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

prepareProcessInstance(V) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise.InverseDocumentFrequencyNormalization

prepareProcessInstance(O) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.transform.GlobalPrincipalComponentAnalysisTransform

prepareProcessInstance(V) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.transform.PerturbationFilter

prepareProcessInstance(V) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.typeconversions.SparseVectorFieldFilter

prepareStart(SimpleTypeInformation<I>) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.AbstractConversionFilter

Return "true" when the normalization needs initialization (two-pass filtering!).

prepareStart(SimpleTypeInformation<V>) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise.AttributeWiseMeanNormalization

prepareStart(SimpleTypeInformation<V>) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise.AttributeWiseMinMaxNormalization

prepareStart(SimpleTypeInformation<V>) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise.AttributeWiseVarianceNormalization

prepareStart(SimpleTypeInformation<V>) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise.InverseDocumentFrequencyNormalization

prepareStart(SimpleTypeInformation<O>) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.transform.GlobalPrincipalComponentAnalysisTransform

prepareStart(SimpleTypeInformation<V>) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.transform.PerturbationFilter

prepareStart(SimpleTypeInformation<V>) - Method in class de.lmu.ifi.dbs.elki.datasource.filter.typeconversions.SparseVectorFieldFilter

preprocess(Database, Relation<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.CASH

Preprocess the dataset, precomputing the parameterization functions.

preprocess(Class<? super M>, Relation<O>, RangeQuery<O>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.AbstractRangeQueryNeighborPredicate

Perform the preprocessing step.

preprocess() - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.AbstractMaterializeKNNPreprocessor

Perform the preprocessing step.

preprocess() - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.CachedDoubleDistanceKNNPreprocessor

preprocess() - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.KNNJoinMaterializeKNNPreprocessor

preprocess() - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.MaterializeKNNAndRKNNPreprocessor

preprocess() - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.MaterializeKNNPreprocessor

The actual preprocessing step.

preprocess() - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.MetricalIndexApproximationMaterializeKNNPreprocessor

preprocess() - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.NaiveProjectedKNNPreprocessor

preprocess() - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.PartitionApproximationMaterializeKNNPreprocessor

preprocess() - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.RandomSampleKNNPreprocessor

preprocess() - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.SpacefillingKNNPreprocessor

preprocess() - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.SpacefillingMaterializeKNNPreprocessor

preprocess() - Method in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.SpatialApproximationMaterializeKNNPreprocessor

preprocessor - Variable in class de.lmu.ifi.dbs.elki.database.query.knn.PreprocessorKNNQuery

The last preprocessor result

preprocessor - Variable in class de.lmu.ifi.dbs.elki.database.query.rknn.PreprocessorRKNNQuery

The last preprocessor result

PreprocessorKNNQuery<O> - Class in de.lmu.ifi.dbs.elki.database.query.knn

Instance for a particular database, invoking the preprocessor.

PreprocessorKNNQuery(Relation<O>, AbstractMaterializeKNNPreprocessor<O>) - Constructor for class de.lmu.ifi.dbs.elki.database.query.knn.PreprocessorKNNQuery

Constructor.

PreprocessorRKNNQuery<O> - Class in de.lmu.ifi.dbs.elki.database.query.rknn

Instance for a particular database, invoking the preprocessor.

PreprocessorRKNNQuery(Relation<O>, MaterializeKNNAndRKNNPreprocessor<O>) - Constructor for class de.lmu.ifi.dbs.elki.database.query.rknn.PreprocessorRKNNQuery

Constructor.

PreprocessorRKNNQuery(Relation<O>, MaterializeKNNAndRKNNPreprocessor.Factory<O>) - Constructor for class de.lmu.ifi.dbs.elki.database.query.rknn.PreprocessorRKNNQuery

Constructor.

preScale(double) - Method in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.MinusLogGammaScaling

preScale(double) - Method in class de.lmu.ifi.dbs.elki.utilities.scaling.outlier.OutlierGammaScaling

Normalize data if necessary.

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

Outlier scaling to apply during preprocessing.

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

Outlier scaling to apply during preprocessing.

prescaling - Variable in class de.lmu.ifi.dbs.elki.application.greedyensemble.VisualizePairwiseGainMatrix.Parameterizer

Outlier scaling to apply during preprocessing.

prescaling - Variable in class de.lmu.ifi.dbs.elki.application.greedyensemble.VisualizePairwiseGainMatrix

Outlier scaling to apply during preprocessing.

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

Scaling to apply to input scores.

PresortedBlindJoinDatabaseConnection - Class in de.lmu.ifi.dbs.elki.datasource

Joins multiple data sources by their existing order.

PresortedBlindJoinDatabaseConnection(List<ObjectFilter>, List<DatabaseConnection>) - Constructor for class de.lmu.ifi.dbs.elki.datasource.PresortedBlindJoinDatabaseConnection

Constructor.

PresortedBlindJoinDatabaseConnection.Parameterizer - Class in de.lmu.ifi.dbs.elki.datasource

Parameterization class.

PrettyMarkers - Class in de.lmu.ifi.dbs.elki.visualization.style.marker

Marker library achieving a larger number of styles by combining different shapes with different colors.

PrettyMarkers(String, StyleLibrary) - Constructor for class de.lmu.ifi.dbs.elki.visualization.style.marker.PrettyMarkers

Constructor

PrettyMarkers(StyleLibrary) - Constructor for class de.lmu.ifi.dbs.elki.visualization.style.marker.PrettyMarkers

Constructor without prefix argument, will use PrettyMarkers.DEFAULT_PREFIX as prefix.

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

Previous value.

prev - Variable in class de.lmu.ifi.dbs.elki.visualization.batikutil.NodeSubstitute

Existing element to replace.

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

Distance of previous.

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

Find the previous clear bit.

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

Find the previous clear bit.

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

Find the previous set bit.

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

Find the previous set bit.

PRIM_ADAPTER - Static variable in class de.lmu.ifi.dbs.elki.math.dimensionsimilarity.DimensionSimilarityMatrix

Adapter class for running Prim's minimum spanning tree algorithm.

PrimAdapter() - Constructor for class de.lmu.ifi.dbs.elki.math.dimensionsimilarity.DimensionSimilarityMatrix.PrimAdapter

Constructor.

primary - Variable in class tutorial.clustering.SameSizeKMeansAlgorithm.Meta

Indexes: primary assignment (current or best), secondary assignment (second best or worst).

Primes - Class in de.lmu.ifi.dbs.elki.math

Class for prime number handling.

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

Pseudo constructor.

PrimitiveDistanceFunction<O> - Interface in de.lmu.ifi.dbs.elki.distance.distancefunction

Primitive distance function that is defined on some kind of object.

PrimitiveDistanceQuery<O> - Class in de.lmu.ifi.dbs.elki.database.query.distance

Run a database query in a database context.

PrimitiveDistanceQuery(Relation<? extends O>, PrimitiveDistanceFunction<? super O>) - Constructor for class de.lmu.ifi.dbs.elki.database.query.distance.PrimitiveDistanceQuery

Constructor.

PrimitiveDistanceSimilarityQuery<O> - Class in de.lmu.ifi.dbs.elki.database.query.distance

Combination query class, for convenience.

PrimitiveDistanceSimilarityQuery(Relation<? extends O>, PrimitiveDistanceFunction<? super O>, PrimitiveSimilarityFunction<? super O>) - Constructor for class de.lmu.ifi.dbs.elki.database.query.distance.PrimitiveDistanceSimilarityQuery

Constructor.

PrimitiveSimilarityFunction<O> - Interface in de.lmu.ifi.dbs.elki.distance.similarityfunction

Interface SimilarityFunction describes the requirements of any similarity function.

PrimitiveSimilarityQuery<O> - Class in de.lmu.ifi.dbs.elki.database.query.similarity

Run a database query in a database context.

PrimitiveSimilarityQuery(Relation<? extends O>, PrimitiveSimilarityFunction<? super O>) - Constructor for class de.lmu.ifi.dbs.elki.database.query.similarity.PrimitiveSimilarityQuery

Constructor.

PrimsMinimumSpanningTree - Class in de.lmu.ifi.dbs.elki.math.geometry

Prim's algorithm for finding the minimum spanning tree.

PrimsMinimumSpanningTree() - Constructor for class de.lmu.ifi.dbs.elki.math.geometry.PrimsMinimumSpanningTree

PrimsMinimumSpanningTree.Adapter<T> - Interface in de.lmu.ifi.dbs.elki.math.geometry

Adapter interface to allow use with different data representations.

PrimsMinimumSpanningTree.Array2DAdapter - Class in de.lmu.ifi.dbs.elki.math.geometry

Adapter for a simple 2d double matrix.

PrimsMinimumSpanningTree.Collector - Interface in de.lmu.ifi.dbs.elki.math.geometry

Interface for collecting edges.

print(String) - Method in class de.lmu.ifi.dbs.elki.application.internal.DocumentParameters.WikiStream

printDescription(Class<?>) - Static method in class de.lmu.ifi.dbs.elki.application.AbstractApplication

Print the description for the given parameter

printErrorMessage(Exception) - Static method in class de.lmu.ifi.dbs.elki.application.AbstractApplication

Print an error message for the given error.

printIndent() - Method in class de.lmu.ifi.dbs.elki.application.internal.DocumentParameters.WikiStream

printitem(String) - Method in class de.lmu.ifi.dbs.elki.application.internal.DocumentParameters.WikiStream

println(String) - Method in class de.lmu.ifi.dbs.elki.application.internal.DocumentParameters.WikiStream

println() - Method in class de.lmu.ifi.dbs.elki.application.internal.DocumentParameters.WikiStream

println(StringBuilder, int, String, String) - Static method in class de.lmu.ifi.dbs.elki.utilities.optionhandling.OptionUtil

Simple writing helper with no indentation.

printObject(TextWriterStream, Database, DBIDRef, List<Relation<?>>) - Method in class de.lmu.ifi.dbs.elki.result.textwriter.TextWriter

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

Returns the priority of this interval (used as key in the heap).

priority - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.DoublePriorityObject

Priority.

priority - Variable in class de.lmu.ifi.dbs.elki.utilities.datastructures.heap.IntegerPriorityObject

Priority.

PRIORITY - Static variable in class de.lmu.ifi.dbs.elki.visualization.batikutil.ThumbnailRegistryEntry

The priority of this entry.

priority() - Method in class tutorial.clustering.SameSizeKMeansAlgorithm.Meta

Priority / badness: difference between best and worst.

PriorProbabilityClassifier - Class in de.lmu.ifi.dbs.elki.algorithm.classification

Classifier to classify instances based on the prior probability of classes in the database, without using the actual data values.

PriorProbabilityClassifier() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.classification.PriorProbabilityClassifier

Constructor.

privateReconfigureLogging(String, String) - Method in class de.lmu.ifi.dbs.elki.logging.LoggingConfiguration

Reconfigure logging.

prob - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.selection.RandomSamplingStreamFilter.Parameterizer

Probability

prob - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.selection.RandomSamplingStreamFilter

Probability

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

Option ID for sampling probability

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

Success probability.

ProbabilisticOutlierScore - Class in de.lmu.ifi.dbs.elki.result.outlier

Outlier score that is a probability value in the range 0.0 - 1.0 But the baseline may be different from 0.0!

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

Default constructor.

ProbabilisticOutlierScore(double) - Constructor for class de.lmu.ifi.dbs.elki.result.outlier.ProbabilisticOutlierScore

Constructor with baseline only.

ProbabilisticOutlierScore(double, double) - Constructor for class de.lmu.ifi.dbs.elki.result.outlier.ProbabilisticOutlierScore

Constructor with actual values, and a baseline of 0.0

ProbabilisticOutlierScore(double, double, double) - Constructor for class de.lmu.ifi.dbs.elki.result.outlier.ProbabilisticOutlierScore

Full constructor.

ProbabilityWeightedMoments - Class in de.lmu.ifi.dbs.elki.math.statistics

Estimate the L-Moments of a sample.

ProbabilityWeightedMoments() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.ProbabilityWeightedMoments

process(DBIDRef, ArrayDBIDs, DBIDArrayIter, int, WritableDBIDDataStore, WritableDoubleDataStore, WritableDoubleDataStore) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.CLINK

CLINK main loop, based on the SLINK main loop.

process(DBIDRef, ArrayDBIDs, DBIDArrayIter, int, WritableDBIDDataStore, WritableDoubleDataStore, WritableDoubleDataStore) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.SLINK

SLINK main loop.

process(Clustering<?>, Clustering<?>) - Method in class de.lmu.ifi.dbs.elki.evaluation.clustering.ClusterContingencyTable

Process two clustering results.

process(double[], double, double, KernelDensityFunction, int, double) - Method in class de.lmu.ifi.dbs.elki.math.statistics.KernelDensityEstimator

Process a new array

process(VisualizerContext, A) - Method in interface de.lmu.ifi.dbs.elki.visualization.VisualizationTree.Handler1

Process a new result.

process(VisualizerContext, A, B) - Method in interface de.lmu.ifi.dbs.elki.visualization.VisualizationTree.Handler2

Process a new result.

process(VisualizerContext, A, B, C) - Method in interface de.lmu.ifi.dbs.elki.visualization.VisualizationTree.Handler3

Process a new result.

PROCESS_STOP - Static variable in class de.lmu.ifi.dbs.elki.gui.icons.StockIcon

processColumnTypes(ArrayList<String>, ArrayList<String>, int[], TypeInformation[], int[]) - Method in class de.lmu.ifi.dbs.elki.datasource.parser.ArffParser

Process the column types (and names!)

processCorePoint(DBIDRef, T, int, WritableIntegerDataStore, ArrayModifiableDBIDs) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.GeneralizedDBSCAN.Instance

Process a single core point.

processCovarMatrix(Matrix) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PCAFilteredRunner

Process an existing Covariance Matrix.

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

Process an existing covariance Matrix.

processDatabase(Relation<? extends NumberVector>) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.AbstractCovarianceMatrixBuilder

processDatabase(Relation<? extends NumberVector>) - Method in interface de.lmu.ifi.dbs.elki.math.linearalgebra.pca.CovarianceMatrixBuilder

Compute Covariance Matrix for a complete database.

processDatabase(Relation<? extends NumberVector>) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PCARunner

Run PCA on the complete database.

processDatabase(Relation<? extends NumberVector>) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.StandardCovarianceMatrixBuilder

Compute Covariance Matrix for a complete database.

processDataPages(SpatialPrimitiveDistanceFunction<? super V>, List<KNNHeap>, List<KNNHeap>, N, N) - Method in class de.lmu.ifi.dbs.elki.algorithm.KNNJoin

Processes the two data pages pr and ps and determines the k-nearest neighbors of pr in ps.

processDense(double[][]) - Static method in class de.lmu.ifi.dbs.elki.math.geometry.PrimsMinimumSpanningTree

Process a k x k distance matrix.

processDense(Matrix) - Static method in class de.lmu.ifi.dbs.elki.math.geometry.PrimsMinimumSpanningTree

Process a k x k distance matrix.

processDense(T, PrimsMinimumSpanningTree.Adapter<T>) - Static method in class de.lmu.ifi.dbs.elki.math.geometry.PrimsMinimumSpanningTree

Run Prim's algorithm on a dense graph.

processDense(T, PrimsMinimumSpanningTree.Adapter<T>, PrimsMinimumSpanningTree.Collector) - Static method in class de.lmu.ifi.dbs.elki.math.geometry.PrimsMinimumSpanningTree

Run Prim's algorithm on a dense graph.

processed - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.optics.FastOPTICS

processed points

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

The number of items already processed at a time being.

processedIDs - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.CASH

Holds a set of processed ids.

processedIDs - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.DBSCAN

Holds a set of processed ids.

processedIDs - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.optics.GeneralizedOPTICS.Instance

Holds a set of processed ids.

processedIDs - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.optics.OPTICSHeap.Instance

Holds a set of processed ids.

processedIDs - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.optics.OPTICSList.Instance

Holds a set of processed ids.

processedIDs - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.SNNClustering

Holds a set of processed ids.

processElementClipping(GeneratorSingleCluster, Node) - Method in class de.lmu.ifi.dbs.elki.datasource.GeneratorXMLDatabaseConnection

Process a 'clipping' Element in the XML stream.

processElementCluster(GeneratorMain, Node) - Method in class de.lmu.ifi.dbs.elki.datasource.GeneratorXMLDatabaseConnection

Process a 'cluster' Element in the XML stream.

processElementDataset(GeneratorMain, Node) - Method in class de.lmu.ifi.dbs.elki.datasource.GeneratorXMLDatabaseConnection

Process a 'dataset' Element in the XML stream.

processElementGamma(GeneratorSingleCluster, Node) - Method in class de.lmu.ifi.dbs.elki.datasource.GeneratorXMLDatabaseConnection

Process a 'gamma' Element in the XML stream.

processElementHalton(GeneratorSingleCluster, Node) - Method in class de.lmu.ifi.dbs.elki.datasource.GeneratorXMLDatabaseConnection

Process a 'halton' Element in the XML stream.

processElementNormal(GeneratorSingleCluster, Node) - Method in class de.lmu.ifi.dbs.elki.datasource.GeneratorXMLDatabaseConnection

Process a 'normal' Element in the XML stream.

processElementPoint(List<Vector>, Node) - Method in class de.lmu.ifi.dbs.elki.datasource.GeneratorXMLDatabaseConnection

Parse a 'point' element (point vector for a static cluster)

processElementRotate(GeneratorSingleCluster, Node) - Method in class de.lmu.ifi.dbs.elki.datasource.GeneratorXMLDatabaseConnection

Process a 'rotate' Element in the XML stream.

processElementStatic(GeneratorMain, Node) - Method in class de.lmu.ifi.dbs.elki.datasource.GeneratorXMLDatabaseConnection

Process a 'static' cluster Element in the XML stream.

processElementTranslate(GeneratorSingleCluster, Node) - Method in class de.lmu.ifi.dbs.elki.datasource.GeneratorXMLDatabaseConnection

Process a 'translate' Element in the XML stream.

processElementUniform(GeneratorSingleCluster, Node) - Method in class de.lmu.ifi.dbs.elki.datasource.GeneratorXMLDatabaseConnection

Process a 'uniform' Element in the XML stream.

processEVD(EigenvalueDecomposition) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PCAFilteredRunner

Process an existing eigenvalue decomposition.

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

Process an existing eigenvalue decomposition.

processIds(DBIDs, Relation<? extends NumberVector>) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.AbstractCovarianceMatrixBuilder

processIds(DBIDs, Relation<? extends NumberVector>) - Method in interface de.lmu.ifi.dbs.elki.math.linearalgebra.pca.CovarianceMatrixBuilder

Compute Covariance Matrix for a collection of database IDs.

processIds(DBIDs, Relation<? extends NumberVector>) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PCAFilteredAutotuningRunner

processIds(DBIDs, Relation<? extends NumberVector>) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PCAFilteredRunner

Run PCA on a collection of database IDs.

processIds(DBIDs, Relation<? extends NumberVector>) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PCARunner

Run PCA on a collection of database IDs.

processIds(DBIDs, Relation<? extends NumberVector>) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.RANSACCovarianceMatrixBuilder

processIds(DBIDs, Relation<? extends NumberVector>) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.StandardCovarianceMatrixBuilder

Compute Covariance Matrix for a collection of database IDs.

processIds(DBIDs, Relation<? extends NumberVector>) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.WeightedCovarianceMatrixBuilder

Weighted Covariance Matrix for a set of IDs.

processItem(PlotItem) - Method in class de.lmu.ifi.dbs.elki.visualization.ExportVisualizations

processKeyBinding(KeyStroke, KeyEvent, int, boolean) - Method in class de.lmu.ifi.dbs.elki.gui.util.ParameterTable.DispatchingPanel

processNeighbor(List<Vector>, long[], int, int, int) - Method in class de.lmu.ifi.dbs.elki.math.geometry.AlphaShape

processNeighbors(DBIDIter, ModifiableDBIDs, HashSetModifiableDBIDs) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.DBSCAN

Process a single core point.

processNewResult(ResultHierarchy, Result) - Method in class de.lmu.ifi.dbs.elki.application.jsmap.JSONResultHandler

processNewResult(ResultHierarchy, Result) - Method in class de.lmu.ifi.dbs.elki.evaluation.AutomaticEvaluation

processNewResult(ResultHierarchy, Result) - Method in class de.lmu.ifi.dbs.elki.evaluation.clustering.EvaluateClustering

processNewResult(ResultHierarchy, Result) - Method in class de.lmu.ifi.dbs.elki.evaluation.clustering.internal.EvaluateCIndex

processNewResult(ResultHierarchy, Result) - Method in class de.lmu.ifi.dbs.elki.evaluation.clustering.internal.EvaluateConcordantPairs

processNewResult(ResultHierarchy, Result) - Method in class de.lmu.ifi.dbs.elki.evaluation.clustering.internal.EvaluateDaviesBouldin

processNewResult(ResultHierarchy, Result) - Method in class de.lmu.ifi.dbs.elki.evaluation.clustering.internal.EvaluatePBMIndex

processNewResult(ResultHierarchy, Result) - Method in class de.lmu.ifi.dbs.elki.evaluation.clustering.internal.EvaluateSilhouette

processNewResult(ResultHierarchy, Result) - Method in class de.lmu.ifi.dbs.elki.evaluation.clustering.internal.EvaluateSimplifiedSilhouette

processNewResult(ResultHierarchy, Result) - Method in class de.lmu.ifi.dbs.elki.evaluation.clustering.internal.EvaluateSquaredErrors

processNewResult(ResultHierarchy, Result) - Method in class de.lmu.ifi.dbs.elki.evaluation.clustering.internal.EvaluateVarianceRatioCriteria

processNewResult(ResultHierarchy, Result) - Method in class de.lmu.ifi.dbs.elki.evaluation.clustering.LogClusterSizes

processNewResult(ResultHierarchy, Result) - Method in class de.lmu.ifi.dbs.elki.evaluation.clustering.pairsegments.ClusterPairSegmentAnalysis

Perform clusterings evaluation

processNewResult(ResultHierarchy, Result) - Method in class de.lmu.ifi.dbs.elki.evaluation.histogram.ComputeOutlierHistogram

processNewResult(ResultHierarchy, Result) - Method in class de.lmu.ifi.dbs.elki.evaluation.index.IndexPurity

processNewResult(ResultHierarchy, Result) - Method in class de.lmu.ifi.dbs.elki.evaluation.index.IndexStatistics

processNewResult(ResultHierarchy, Result) - Method in class de.lmu.ifi.dbs.elki.evaluation.NoAutomaticEvaluation

processNewResult(ResultHierarchy, Result) - Method in class de.lmu.ifi.dbs.elki.evaluation.outlier.JudgeOutlierScores

processNewResult(ResultHierarchy, Result) - Method in class de.lmu.ifi.dbs.elki.evaluation.outlier.OutlierPrecisionAtKCurve

processNewResult(ResultHierarchy, Result) - Method in class de.lmu.ifi.dbs.elki.evaluation.outlier.OutlierPrecisionRecallCurve

processNewResult(ResultHierarchy, Result) - Method in class de.lmu.ifi.dbs.elki.evaluation.outlier.OutlierRankingEvaluation

processNewResult(ResultHierarchy, Result) - Method in class de.lmu.ifi.dbs.elki.evaluation.outlier.OutlierROCCurve

processNewResult(ResultHierarchy, Result) - Method in class de.lmu.ifi.dbs.elki.evaluation.outlier.OutlierSmROCCurve

processNewResult(ResultHierarchy, Result) - Method in class de.lmu.ifi.dbs.elki.evaluation.outlier.OutlierThresholdClustering

processNewResult(ResultHierarchy, Result) - Method in class de.lmu.ifi.dbs.elki.evaluation.similaritymatrix.ComputeSimilarityMatrixImage

processNewResult(ResultHierarchy, Result) - Method in class de.lmu.ifi.dbs.elki.result.ClusteringVectorDumper

processNewResult(ResultHierarchy, Result) - Method in class de.lmu.ifi.dbs.elki.result.DiscardResultHandler

processNewResult(ResultHierarchy, Result) - Method in class de.lmu.ifi.dbs.elki.result.KMLOutputHandler

processNewResult(ResultHierarchy, Result) - Method in class de.lmu.ifi.dbs.elki.result.LogResultStructureResultHandler

processNewResult(ResultHierarchy, Result) - Method in interface de.lmu.ifi.dbs.elki.result.ResultProcessor

Process a result.

processNewResult(ResultHierarchy, Result) - Method in class de.lmu.ifi.dbs.elki.result.ResultWriter

processNewResult(ResultHierarchy, Result) - Method in class de.lmu.ifi.dbs.elki.visualization.ExportVisualizations

processNewResult(ResultHierarchy, Result) - Method in class de.lmu.ifi.dbs.elki.visualization.gui.ResultVisualizer

processNewResult(VisualizerContext, Object) - Method in class de.lmu.ifi.dbs.elki.visualization.projector.HistogramFactory

processNewResult(VisualizerContext, Object) - Method in class de.lmu.ifi.dbs.elki.visualization.projector.OPTICSProjectorFactory

processNewResult(VisualizerContext, Object) - Method in class de.lmu.ifi.dbs.elki.visualization.projector.ParallelPlotFactory

processNewResult(VisualizerContext, Object) - Method in interface de.lmu.ifi.dbs.elki.visualization.projector.ProjectorFactory

Add projections for the given result (tree) to the result tree.

processNewResult(VisualizerContext, Object) - Method in class de.lmu.ifi.dbs.elki.visualization.projector.ScatterPlotFactory

processNewResult(VisualizerContext, Object) - Method in interface de.lmu.ifi.dbs.elki.visualization.VisualizationProcessor

Add visualization items for the given result (tree) to the result tree.

processNewResult(VisualizerContext, Object) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.actions.ClusterStyleAction

processNewResult(VisualizerContext, Object) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.histogram.ColoredHistogramVisualizer

processNewResult(VisualizerContext, Object) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.optics.OPTICSClusterVisualization

processNewResult(VisualizerContext, Object) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.optics.OPTICSPlotCutVisualization

processNewResult(VisualizerContext, Object) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.optics.OPTICSPlotSelectionVisualization

processNewResult(VisualizerContext, Object) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.optics.OPTICSPlotVisualizer

processNewResult(VisualizerContext, Object) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.optics.OPTICSSteepAreaVisualization

processNewResult(VisualizerContext, Object) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.pairsegments.CircleSegmentsVisualizer

processNewResult(VisualizerContext, Object) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.AxisReorderVisualization

processNewResult(VisualizerContext, Object) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.AxisVisibilityVisualization

processNewResult(VisualizerContext, Object) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.BoundingBoxVisualization

processNewResult(VisualizerContext, Object) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.cluster.ClusterOutlineVisualization

processNewResult(VisualizerContext, Object) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.cluster.ClusterParallelMeanVisualization

processNewResult(VisualizerContext, Object) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.index.RTreeParallelVisualization

processNewResult(VisualizerContext, Object) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.LineVisualization

processNewResult(VisualizerContext, Object) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.ParallelAxisVisualization

processNewResult(VisualizerContext, Object) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.selection.SelectionAxisRangeVisualization

processNewResult(VisualizerContext, Object) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.selection.SelectionLineVisualization

processNewResult(VisualizerContext, Object) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.selection.SelectionToolAxisRangeVisualization

processNewResult(VisualizerContext, Object) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.selection.SelectionToolLineVisualization

processNewResult(VisualizerContext, Object) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.AxisVisualization

processNewResult(VisualizerContext, Object) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster.ClusterHullVisualization

processNewResult(VisualizerContext, Object) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster.ClusterMeanVisualization

processNewResult(VisualizerContext, Object) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster.ClusterOrderVisualization

processNewResult(VisualizerContext, Object) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster.ClusterStarVisualization

processNewResult(VisualizerContext, Object) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster.EMClusterVisualization

processNewResult(VisualizerContext, Object) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster.VoronoiVisualization

processNewResult(VisualizerContext, Object) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.density.DensityEstimationOverlay

processNewResult(VisualizerContext, Object) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.index.TreeMBRVisualization

processNewResult(VisualizerContext, Object) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.index.TreeSphereVisualization

processNewResult(VisualizerContext, Object) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.MarkerVisualization

processNewResult(VisualizerContext, Object) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.outlier.BubbleVisualization

processNewResult(VisualizerContext, Object) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.outlier.COPVectorVisualization

processNewResult(VisualizerContext, Object) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.PolygonVisualization

processNewResult(VisualizerContext, Object) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.ReferencePointsVisualization

processNewResult(VisualizerContext, Object) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection.DistanceFunctionVisualization

processNewResult(VisualizerContext, Object) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection.MoveObjectsToolVisualization

processNewResult(VisualizerContext, Object) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection.SelectionConvexHullVisualization

processNewResult(VisualizerContext, Object) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection.SelectionCubeVisualization

processNewResult(VisualizerContext, Object) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection.SelectionDotVisualization

processNewResult(VisualizerContext, Object) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection.SelectionToolCubeVisualization

processNewResult(VisualizerContext, Object) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection.SelectionToolDotVisualization

processNewResult(VisualizerContext, Object) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.TooltipScoreVisualization

processNewResult(VisualizerContext, Object) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.TooltipStringVisualization

processNewResult(VisualizerContext, Object) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.uncertain.UncertainBoundingBoxVisualization

processNewResult(VisualizerContext, Object) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.uncertain.UncertainInstancesVisualization

processNewResult(VisualizerContext, Object) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.uncertain.UncertainSamplesVisualization

processNewResult(VisualizerContext, Object) - Method in interface de.lmu.ifi.dbs.elki.visualization.visualizers.VisFactory

Add visualizers for the given result (tree) to the context.

processNewResult(VisualizerContext, Object) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.EvaluationVisualization

processNewResult(VisualizerContext, Object) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.HistogramVisualization

processNewResult(VisualizerContext, Object) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.KeyVisualization

processNewResult(VisualizerContext, Object) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.LabelVisualization

processNewResult(VisualizerContext, Object) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.PixmapVisualizer

processNewResult(VisualizerContext, Object) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.SettingsVisualization

processNewResult(VisualizerContext, Object) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.SimilarityMatrixVisualizer

processNewResult(VisualizerContext, Object) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.XYCurveVisualization

processNewResult(VisualizerContext, Object) - Method in class de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj.XYPlotVisualization

processNewResult(ResultHierarchy, Result) - Method in class tutorial.outlier.SimpleScoreDumper

Processor - Interface in de.lmu.ifi.dbs.elki.parallel.processor

Class to represent a processor factory.

Processor.Instance - Interface in de.lmu.ifi.dbs.elki.parallel.processor

Instance.

processors - Variable in class de.lmu.ifi.dbs.elki.parallel.ParallelCore

Maximum number of processors to use.

processQueryResult(DoubleDBIDList, Relation<? extends NumberVector>) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PCAFilteredAutotuningRunner

processQueryResult(DoubleDBIDList, Relation<? extends NumberVector>) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PCAFilteredRunner

Run PCA on a QueryResult Collection.

processQueryResult(DoubleDBIDList, Relation<? extends NumberVector>) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PCARunner

Run PCA on a QueryResult Collection.

processQueryResults(DoubleDBIDList, Relation<? extends NumberVector>, int) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.AbstractCovarianceMatrixBuilder

processQueryResults(DoubleDBIDList, Relation<? extends NumberVector>) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.AbstractCovarianceMatrixBuilder

processQueryResults(DoubleDBIDList, Relation<? extends NumberVector>, int) - Method in interface de.lmu.ifi.dbs.elki.math.linearalgebra.pca.CovarianceMatrixBuilder

Compute Covariance Matrix for a QueryResult Collection.

processQueryResults(DoubleDBIDList, Relation<? extends NumberVector>) - Method in interface de.lmu.ifi.dbs.elki.math.linearalgebra.pca.CovarianceMatrixBuilder

Compute Covariance Matrix for a QueryResult Collection.

processQueryResults(DoubleDBIDList, Relation<? extends NumberVector>, int) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.WeightedCovarianceMatrixBuilder

Compute Covariance Matrix for a QueryResult Collection.

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

The PROCLUS algorithm, an algorithm to find subspace clusters in high dimensional spaces.

PROCLUS(int, int, int, int, RandomFactory) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.PROCLUS

Java constructor.

PROCLUS.DoubleIntInt - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.subspace

Simple triple.

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

Parameterization class.

PROCLUS.PROCLUSCluster - Class in de.lmu.ifi.dbs.elki.algorithm.clustering.subspace

Encapsulates the attributes of a cluster.

PROCLUSCluster(ModifiableDBIDs, long[], Vector) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.PROCLUS.PROCLUSCluster

Constructor.

procs - Variable in class de.lmu.ifi.dbs.elki.parallel.ParallelExecutor.BlockArrayRunner

The processor masters that own the instances.

procs - Variable in class de.lmu.ifi.dbs.elki.parallel.SingleThreadedExecutor.SingleThreadedRunner

The process masters that own the instances.

prog - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.AbstractHDBSCAN.HeapMSTCollector

Progress, for progress logging.

progress - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.optics.GeneralizedOPTICS.Instance

Progress for logging.

progress - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.optics.OPTICSHeap.Instance

Progress for logging.

progress - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.optics.OPTICSList.Instance

Progress for logging.

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

Log a Progress object.

Progress - Interface in de.lmu.ifi.dbs.elki.logging.progress

Generic Progress logging interface.

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

Progress storage

progresses - Variable in class de.lmu.ifi.dbs.elki.logging.progress.ProgressTracker

Set of potentially active progresses.

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

The progressive approximation.

ProgressiveEigenPairFilter - Class in de.lmu.ifi.dbs.elki.math.linearalgebra.pca

The ProgressiveEigenPairFilter sorts the eigenpairs in descending order of their eigenvalues and marks the first eigenpairs, whose sum of eigenvalues is higher than the given percentage of the sum of all eigenvalues as strong eigenpairs.

ProgressiveEigenPairFilter(double, double) - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.ProgressiveEigenPairFilter

Constructor.

ProgressiveEigenPairFilter.Parameterizer - Class in de.lmu.ifi.dbs.elki.math.linearalgebra.pca

Parameterization class.

progressiveKnnDistanceApproximation(int) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPTreeNode

Determines and returns the progressive approximation for the knn distances of this node as the maximum of the progressive approximations of all entries.

ProgressLogRecord - Class in de.lmu.ifi.dbs.elki.logging.progress

Log record for progress messages.

ProgressLogRecord(Level, Progress) - Constructor for class de.lmu.ifi.dbs.elki.logging.progress.ProgressLogRecord

Constructor for progress log messages.

ProgressTracker - Class in de.lmu.ifi.dbs.elki.logging.progress

Class to keep track of "alive" progresses.

ProgressTracker() - Constructor for class de.lmu.ifi.dbs.elki.logging.progress.ProgressTracker

proj - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.transform.GlobalPrincipalComponentAnalysisTransform

Final projection after analysis run.

proj - Variable in class de.lmu.ifi.dbs.elki.index.lsh.hashfamilies.AbstractProjectedHashFunctionFamily

Projection family to use.

proj - Variable in class de.lmu.ifi.dbs.elki.index.lsh.hashfamilies.CosineHashFunctionFamily

Projection family to use.

proj - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.NaiveProjectedKNNPreprocessor.Factory.Parameterizer

Random projection family to use.

proj - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.NaiveProjectedKNNPreprocessor.Factory

Random projection family to use.

proj - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.NaiveProjectedKNNPreprocessor

Random projection family to use.

proj - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.SpacefillingKNNPreprocessor.Factory.Parameterizer

Random projection family to use.

proj - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.SpacefillingKNNPreprocessor.Factory

Random projection family to use.

proj - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.SpacefillingKNNPreprocessor

Random projection family to use.

proj - Variable in class de.lmu.ifi.dbs.elki.index.projected.ProjectedIndex.Factory.Parameterizer

Projection to use.

proj - Variable in class de.lmu.ifi.dbs.elki.index.projected.ProjectedIndex.Factory

Projection to use.

proj - Variable in class de.lmu.ifi.dbs.elki.index.projected.ProjectedIndex

Projection.

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

Projection (may be null!)

proj - Variable in class de.lmu.ifi.dbs.elki.visualization.projections.AffineProjection

Affine transformation used in projection

proj - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.histogram.AbstractHistogramVisualization

The current projection

proj - Variable in class de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.AbstractParallelVisualization

The current projection

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

The current projection

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

Projection.

PROJ_ID - Static variable in class de.lmu.ifi.dbs.elki.datasource.filter.transform.ProjectionFilter.Parameterizer

Parameter to specify the projection to use Key: -projection

PROJ_ID - Static variable in class de.lmu.ifi.dbs.elki.index.projected.ProjectedIndex.Factory.Parameterizer

Option ID for the projection to use.

project(Matrix, ParameterizationFunction) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.CASH

Projects the specified parameterization function into the subspace described by the given basis.

project(V) - Method in class de.lmu.ifi.dbs.elki.data.projection.FeatureSelection

project(V) - Method in class de.lmu.ifi.dbs.elki.data.projection.LatLngToECEFProjection

project(V) - Method in class de.lmu.ifi.dbs.elki.data.projection.LngLatToECEFProjection

project(V) - Method in class de.lmu.ifi.dbs.elki.data.projection.NumericalFeatureSelection

project(IN) - Method in interface de.lmu.ifi.dbs.elki.data.projection.Projection

Project a single instance.

project(V) - Method in class de.lmu.ifi.dbs.elki.data.projection.RandomProjection

project(V, long[], NumberVector.Factory<V>) - Static method in class de.lmu.ifi.dbs.elki.data.VectorUtil

Project a number vector to the specified attributes.

project(NumberVector) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.randomprojections.AbstractRandomProjectionFamily.MatrixProjection

project(NumberVector) - Method in interface de.lmu.ifi.dbs.elki.math.linearalgebra.randomprojections.RandomProjectionFamily.Projection

Project a single vector.

project(NumberVector) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.randomprojections.RandomSubsetProjectionFamily.SubsetProjection

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

Projects this row vector into the subspace formed by the specified matrix v.

projectDataToRenderSpace(NumberVector) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.AbstractFullProjection

Project a data vector from data space to rendering space.

projectDataToRenderSpace(Vector) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.AbstractFullProjection

Project a data vector from data space to rendering space.

projectDataToRenderSpace(NumberVector) - Method in interface de.lmu.ifi.dbs.elki.visualization.projections.FullProjection

Project a data vector from data space to rendering space.

projectDataToRenderSpace(Vector) - Method in interface de.lmu.ifi.dbs.elki.visualization.projections.FullProjection

Project a data vector from data space to rendering space.

projectDataToScaledSpace(NumberVector) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.AbstractFullProjection

Project a data vector from data space to scaled space.

projectDataToScaledSpace(Vector) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.AbstractFullProjection

Project a data vector from data space to scaled space.

projectDataToScaledSpace(NumberVector) - Method in interface de.lmu.ifi.dbs.elki.visualization.projections.FullProjection

Project a data vector from data space to scaled space.

projectDataToScaledSpace(Vector) - Method in interface de.lmu.ifi.dbs.elki.visualization.projections.FullProjection

Project a data vector from data space to scaled space.

projected - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.NaiveProjectedKNNPreprocessor

Projected data.

ProjectedCentroid - Class in de.lmu.ifi.dbs.elki.math.linearalgebra

Centroid only using a subset of dimensions.

ProjectedCentroid(long[], int) - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.ProjectedCentroid

Constructor for updating use.

projectedEnergy(Relation<V>, DistanceQuery<V>, ORCLUS<V>.ORCLUSCluster, ORCLUS<V>.ORCLUSCluster, int, int, int) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.ORCLUS

Computes the projected energy of the specified clusters.

ProjectedEnergy(int, int, ORCLUS<V>.ORCLUSCluster, double) - Constructor for class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.ORCLUS.ProjectedEnergy

projectedEnergy - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.ORCLUS.ProjectedEnergy

ProjectedIndex<O,I> - Class in de.lmu.ifi.dbs.elki.index.projected

Class to index data in an arbitrary projection only.

ProjectedIndex(Relation<O>, Projection<O, I>, Relation<I>, Index, boolean, double) - Constructor for class de.lmu.ifi.dbs.elki.index.projected.ProjectedIndex

Constructor.

ProjectedIndex.Factory<O,I> - Class in de.lmu.ifi.dbs.elki.index.projected

Index factory.

ProjectedIndex.Factory.Parameterizer<O,I> - Class in de.lmu.ifi.dbs.elki.index.projected

Parameterization class.

ProjectedIndex.ProjectedKNNQuery - Class in de.lmu.ifi.dbs.elki.index.projected

Class to proxy kNN queries.

ProjectedIndex.ProjectedRangeQuery - Class in de.lmu.ifi.dbs.elki.index.projected

Class to proxy range queries.

ProjectedIndex.ProjectedRKNNQuery - Class in de.lmu.ifi.dbs.elki.index.projected

Class to proxy RkNN queries.

ProjectedKNNQuery(DistanceQuery<O>, KNNQuery<I>) - Constructor for class de.lmu.ifi.dbs.elki.index.projected.ProjectedIndex.ProjectedKNNQuery

Constructor.

projectedPoints - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.fastoptics.RandomProjectedNeighborssAndDensities

all projected points

ProjectedRangeQuery(DistanceQuery<O>, RangeQuery<I>) - Constructor for class de.lmu.ifi.dbs.elki.index.projected.ProjectedIndex.ProjectedRangeQuery

Constructor.

ProjectedRKNNQuery(DistanceQuery<O>, RKNNQuery<I>) - Constructor for class de.lmu.ifi.dbs.elki.index.projected.ProjectedIndex.ProjectedRKNNQuery

Constructor.

ProjectedView<IN,OUT> - Class in de.lmu.ifi.dbs.elki.database.relation

Projected relation view (non-materialized)

ProjectedView(Relation<IN>, Projection<IN, OUT>) - Constructor for class de.lmu.ifi.dbs.elki.database.relation.ProjectedView

Constructor.

projection(ORCLUS<V>.ORCLUSCluster, V, NumberVector.Factory<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.ORCLUS

Returns the projection of real vector o in the subspace of cluster c.

Projection<IN,OUT> - Interface in de.lmu.ifi.dbs.elki.data.projection

Projection interface.

projection - Variable in class de.lmu.ifi.dbs.elki.data.projection.RandomProjection

Projection matrix.

projection - Variable in class de.lmu.ifi.dbs.elki.database.relation.ProjectedView

The projection we use.

projection - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.transform.ProjectionFilter.Parameterizer

Projection to apply.

projection - Variable in class de.lmu.ifi.dbs.elki.datasource.filter.transform.ProjectionFilter

Projection to apply.

projection - Variable in class de.lmu.ifi.dbs.elki.index.lsh.hashfunctions.CosineLocalitySensitiveHashFunction

Projection function.

projection - Variable in class de.lmu.ifi.dbs.elki.index.lsh.hashfunctions.MultipleProjectionsLocalitySensitiveHashFunction

Projection matrix.

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

Projects this row vector into the subspace formed by the specified matrix v.

Projection - Interface in de.lmu.ifi.dbs.elki.visualization.projections

Base interface used for projections in the ELKI visualizers.

Projection1D - Interface in de.lmu.ifi.dbs.elki.visualization.projections

Interface for projections that have a specialization to only compute the first component.

Projection2D - Interface in de.lmu.ifi.dbs.elki.visualization.projections

Projections that have specialized methods to only compute the first two dimensions of the projection.

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

Parameter for choosing the random projections.

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

Parameter for choosing the random projections.

ProjectionFilter<I,O> - Class in de.lmu.ifi.dbs.elki.datasource.filter.transform

Apply a projection to the data.

ProjectionFilter(Projection<I, O>) - Constructor for class de.lmu.ifi.dbs.elki.datasource.filter.transform.ProjectionFilter

Constructor.

ProjectionFilter.Parameterizer<I,O> - Class in de.lmu.ifi.dbs.elki.datasource.filter.transform

Parameterization class.

ProjectionParallel - Interface in de.lmu.ifi.dbs.elki.visualization.projections

Projection to parallel coordinates that allows reordering and inversion of axes.

ProjectionResult - Interface in de.lmu.ifi.dbs.elki.math.linearalgebra

Interface representing a simple projection result.

projections - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.NaiveProjectedKNNPreprocessor.Factory.Parameterizer

Number of projections to use.

projections - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.NaiveProjectedKNNPreprocessor.Factory

Number of projections to use.

projections - Variable in class de.lmu.ifi.dbs.elki.index.preprocessed.knn.NaiveProjectedKNNPreprocessor

Number of projections to use.

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

Parameter for choosing the number of projections to use.

projector - Variable in class de.lmu.ifi.dbs.elki.visualization.projections.OPTICSProjection

The projector we were generated from.

Projector - Interface in de.lmu.ifi.dbs.elki.visualization.projector

A projector is responsible for adding projections to the visualization.

ProjectorFactory - Interface in de.lmu.ifi.dbs.elki.visualization.projector

A projector is responsible for adding projections to the visualization by detecting appropriate relations in the database.

projectRelativeDataToRenderSpace(NumberVector) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.AbstractFullProjection

Project a relative data vector from data space to rendering space.

projectRelativeDataToRenderSpace(Vector) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.AbstractFullProjection

Project a relative data vector from data space to rendering space.

projectRelativeDataToRenderSpace(NumberVector) - Method in interface de.lmu.ifi.dbs.elki.visualization.projections.FullProjection

Project a relative data vector from data space to rendering space.

projectRelativeDataToRenderSpace(Vector) - Method in interface de.lmu.ifi.dbs.elki.visualization.projections.FullProjection

Project a relative data vector from data space to rendering space.

projectRelativeDataToScaledSpace(NumberVector) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.AbstractFullProjection

Project a relative data vector from data space to scaled space.

projectRelativeDataToScaledSpace(Vector) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.AbstractFullProjection

Project a relative data vector from data space to scaled space.

projectRelativeDataToScaledSpace(NumberVector) - Method in interface de.lmu.ifi.dbs.elki.visualization.projections.FullProjection

Project a relative data vector from data space to scaled space.

projectRelativeDataToScaledSpace(Vector) - Method in interface de.lmu.ifi.dbs.elki.visualization.projections.FullProjection

Project a relative data vector from data space to scaled space.

projectRelativeRenderToDataSpace(Vector, NumberVector.Factory<NV>) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.AbstractFullProjection

Project a relative vector from rendering space to data space.

projectRelativeRenderToDataSpace(Vector, NumberVector.Factory<NV>) - Method in interface de.lmu.ifi.dbs.elki.visualization.projections.FullProjection

Project a relative vector from rendering space to data space.

projectRelativeRenderToScaled(Vector) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.AbstractSimpleProjection

projectRelativeRenderToScaled(Vector) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.AffineProjection

Project a relative vector from rendering space to scaled space.

projectRelativeRenderToScaled(Vector) - Method in interface de.lmu.ifi.dbs.elki.visualization.projections.FullProjection

Project a relative vector from rendering space to scaled space.

projectRelativeScaledToDataSpace(Vector, NumberVector.Factory<NV>) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.AbstractFullProjection

Project a relative vector from scaled space to data space.

projectRelativeScaledToDataSpace(Vector, NumberVector.Factory<NV>) - Method in interface de.lmu.ifi.dbs.elki.visualization.projections.FullProjection

Project a relative vector from scaled space to data space.

projectRelativeScaledToRender(Vector) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.AbstractSimpleProjection

projectRelativeScaledToRender(Vector) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.AffineProjection

Project a relative vector from scaled space to rendering space.

projectRelativeScaledToRender(Vector) - Method in interface de.lmu.ifi.dbs.elki.visualization.projections.FullProjection

Project a relative vector from scaled space to rendering space.

projectRenderToDataSpace(Vector, NumberVector.Factory<NV>) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.AbstractFullProjection

Project a vector from rendering space to data space.

projectRenderToDataSpace(Vector, NumberVector.Factory<NV>) - Method in interface de.lmu.ifi.dbs.elki.visualization.projections.FullProjection

Project a vector from rendering space to data space.

projectRenderToScaled(Vector) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.AbstractSimpleProjection

projectRenderToScaled(Vector) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.AffineProjection

Project a vector from rendering space to scaled space.

projectRenderToScaled(Vector) - Method in interface de.lmu.ifi.dbs.elki.visualization.projections.FullProjection

Project a vector from rendering space to scaled space.

projectScaledToDataSpace(Vector, NumberVector.Factory<NV>) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.AbstractFullProjection

Project a vector from scaled space to data space.

projectScaledToDataSpace(Vector, NumberVector.Factory<NV>) - Method in interface de.lmu.ifi.dbs.elki.visualization.projections.FullProjection

Project a vector from scaled space to data space.

projectScaledToRender(Vector) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.AbstractSimpleProjection

projectScaledToRender(Vector) - Method in class de.lmu.ifi.dbs.elki.visualization.projections.AffineProjection

Project a vector from scaled space to rendering space.

projectScaledToRender(Vector) - Method in interface de.lmu.ifi.dbs.elki.visualization.projections.FullProjection

Project a vector from scaled space to rendering space.

PROP_LINES_LIBRARY - Static variable in class de.lmu.ifi.dbs.elki.visualization.style.PropertiesBasedStyleLibrary

Property string for the line style library

PROP_MARKER_LIBRARY - Static variable in class de.lmu.ifi.dbs.elki.visualization.style.PropertiesBasedStyleLibrary

Property string for the marker style library

properties - Variable in class de.lmu.ifi.dbs.elki.visualization.style.PropertiesBasedStyleLibrary

Properties file to use.

PropertiesBasedStyleLibrary - Class in de.lmu.ifi.dbs.elki.visualization.style

Style library loading the parameters from a properties file.

PropertiesBasedStyleLibrary() - Constructor for class de.lmu.ifi.dbs.elki.visualization.style.PropertiesBasedStyleLibrary

Constructor without a properties file name.

PropertiesBasedStyleLibrary(String, String) - Constructor for class de.lmu.ifi.dbs.elki.visualization.style.PropertiesBasedStyleLibrary

Constructor with a given file name.

prototype - Variable in class de.lmu.ifi.dbs.elki.data.model.PrototypeModel

Cluster prototype

PROTOTYPE - Static variable in class de.lmu.ifi.dbs.elki.data.spatial.PolygonsObject

Static (empty) prototype

PrototypeModel<V> - Class in de.lmu.ifi.dbs.elki.data.model

Cluster model that stores a prototype for each cluster.

PrototypeModel(V) - Constructor for class de.lmu.ifi.dbs.elki.data.model.PrototypeModel

Constructor with prototype

ProxyDatabase - Class in de.lmu.ifi.dbs.elki.database

A proxy database to use e.g. for projections and partitions.

ProxyDatabase(DBIDs) - Constructor for class de.lmu.ifi.dbs.elki.database.ProxyDatabase

Constructor.

ProxyDatabase(DBIDs, Iterable<Relation<?>>) - Constructor for class de.lmu.ifi.dbs.elki.database.ProxyDatabase

Constructor.

ProxyDatabase(DBIDs, Relation<?>...) - Constructor for class de.lmu.ifi.dbs.elki.database.ProxyDatabase

Constructor.

ProxyDatabase(DBIDs, Database) - Constructor for class de.lmu.ifi.dbs.elki.database.ProxyDatabase

Constructor, proxying all relations of an existing database.

ProxyView<O> - Class in de.lmu.ifi.dbs.elki.database.relation

A virtual partitioning of the database.

ProxyView(DBIDs, Relation<O>) - Constructor for class de.lmu.ifi.dbs.elki.database.relation.ProxyView

Constructor.

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

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

Holds the value of CLIQUE.PRUNE_ID.

prune - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.P3C.Signature

Pruning flag.

PRUNE - Static variable in class de.lmu.ifi.dbs.elki.logging.ErrorFormatter

List of packages to prune from stack traces at the end.

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

Flag to indicate that only subspaces with large coverage (i.e. the fraction of the database that is covered by the dense units) are selected, the rest will be pruned.

pruneDenseSubspaces(List<CLIQUESubspace<V>>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.CLIQUE

Performs a MDL-based pruning of the specified dense subspaces as described in the CLIQUE algorithm.

pruneRedundantClusterCores(ArrayList<P3C.Signature>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.P3C

pruneTree(int, int[], int) - Static method in class de.lmu.ifi.dbs.elki.math.geometry.PrimsMinimumSpanningTree

Prune the minimum spanning tree, removing all edges to nodes that have a degree below minDegree.

ps - Variable in class tutorial.distancefunction.MultiLPNorm.Parameterizer

P exponents

ps - Variable in class tutorial.distancefunction.MultiLPNorm

The exponents

pseudoRandom(long, int) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.RandomStableDistanceFunction

Pseudo random number generator, adaption of the common rand48 generator which can be found in C (man drand48), Java and attributed to Donald Knuth.

ptrack - Variable in class de.lmu.ifi.dbs.elki.logging.CLISmartHandler

Tracker for progress messages

publish(LogRecord) - Method in class de.lmu.ifi.dbs.elki.gui.util.LogPane.LogPaneHandler

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

Print a message as if it were logged, without going through the full logger.

publish(LogRecord) - Method in class de.lmu.ifi.dbs.elki.gui.util.LogPane

Publish a log record to the logging pane.

publish(LogRecord) - Method in class de.lmu.ifi.dbs.elki.gui.util.LogPanel.LogPanelHandler

publish(String, Level) - Method in class de.lmu.ifi.dbs.elki.gui.util.LogPanel

Print a message as if it were logged, without going through the full logger.

publish(LogRecord) - Method in class de.lmu.ifi.dbs.elki.gui.util.LogPanel

Publish a logging record.

publish(LogRecord) - Method in class de.lmu.ifi.dbs.elki.logging.CLISmartHandler

Publish a log record.

publishTextRecord(LogRecord) - Method in class de.lmu.ifi.dbs.elki.gui.util.LogPanel

Publish a text record to the pane

purity() - Method in class de.lmu.ifi.dbs.elki.evaluation.clustering.SetMatchingPurity

Get the set matchings purity (first:second clustering) (normalized, 1 = equal)

put(DBIDRef, DBID) - Method in class de.lmu.ifi.dbs.elki.database.datastore.memory.ArrayDBIDStore

Deprecated.

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

put(DBIDRef, Double) - Method in class de.lmu.ifi.dbs.elki.database.datastore.memory.ArrayDoubleStore

Deprecated.

put(DBIDRef, double) - Method in class de.lmu.ifi.dbs.elki.database.datastore.memory.ArrayDoubleStore

put(DBIDRef, Integer) - Method in class de.lmu.ifi.dbs.elki.database.datastore.memory.ArrayIntegerStore

Deprecated.

put(DBIDRef, int) - Method in class de.lmu.ifi.dbs.elki.database.datastore.memory.ArrayIntegerStore

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

put(DBIDRef, T) - Method in class de.lmu.ifi.dbs.elki.database.datastore.memory.ArrayStore

put(DBIDRef, DBID) - Method in class de.lmu.ifi.dbs.elki.database.datastore.memory.MapIntegerDBIDDBIDStore

Deprecated.

put(DBIDRef, DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.datastore.memory.MapIntegerDBIDDBIDStore

put(DBIDRef, Double) - Method in class de.lmu.ifi.dbs.elki.database.datastore.memory.MapIntegerDBIDDoubleStore

Deprecated.

put(DBIDRef, double) - Method in class de.lmu.ifi.dbs.elki.database.datastore.memory.MapIntegerDBIDDoubleStore

put(DBIDRef, Integer) - Method in class de.lmu.ifi.dbs.elki.database.datastore.memory.MapIntegerDBIDIntegerStore

Deprecated.

put(DBIDRef, int) - Method in class de.lmu.ifi.dbs.elki.database.datastore.memory.MapIntegerDBIDIntegerStore

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

put(DBIDRef, T) - Method in class de.lmu.ifi.dbs.elki.database.datastore.memory.MapIntegerDBIDStore

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

put(DBIDRef, T) - Method in class de.lmu.ifi.dbs.elki.database.datastore.memory.MapStore

put(DBIDRef, T) - Method in interface de.lmu.ifi.dbs.elki.database.datastore.WritableDataStore

Associates the specified value with the specified id in this storage.

put(DBIDRef, DBID) - Method in interface de.lmu.ifi.dbs.elki.database.datastore.WritableDBIDDataStore

Deprecated.

Use WritableDBIDDataStore.putDBID(de.lmu.ifi.dbs.elki.database.ids.DBIDRef, de.lmu.ifi.dbs.elki.database.ids.DBIDRef) instead, to avoid boxing/unboxing cost.

put(DBIDRef, DBIDRef) - Method in interface de.lmu.ifi.dbs.elki.database.datastore.WritableDBIDDataStore

Associates the specified value with the specified id in this storage.

put(DBIDRef, Double) - Method in interface de.lmu.ifi.dbs.elki.database.datastore.WritableDoubleDataStore

Deprecated.

Use WritableDoubleDataStore.putDouble(de.lmu.ifi.dbs.elki.database.ids.DBIDRef, double) instead, to avoid boxing/unboxing cost.

put(DBIDRef, double) - Method in interface de.lmu.ifi.dbs.elki.database.datastore.WritableDoubleDataStore

Associates the specified value with the specified id in this storage.

put(DBIDRef, Integer) - Method in interface de.lmu.ifi.dbs.elki.database.datastore.WritableIntegerDataStore

Deprecated.

Use WritableIntegerDataStore.putInt(de.lmu.ifi.dbs.elki.database.ids.DBIDRef, int) instead, to avoid boxing/unboxing cost.

put(DBIDRef, int) - Method in interface de.lmu.ifi.dbs.elki.database.datastore.WritableIntegerDataStore

Associates the specified value with the specified id in this storage.

put(int, int, double) - Method in interface de.lmu.ifi.dbs.elki.distance.distancefunction.external.DistanceCacheWriter

Puts the specified distance value for the given ids to the distance cache.

put(String, ArrayList<String>) - Method in class de.lmu.ifi.dbs.elki.gui.util.SavedSettingsFile

Add/Replace a saved setting

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

Process a single double value.

put(double[]) - Method in class de.lmu.ifi.dbs.elki.math.DoubleMinMax

Process a whole array of double values.

put(Collection<Double>) - Method in class de.lmu.ifi.dbs.elki.math.DoubleMinMax

Deprecated.

Collection<Double> is expensive. Avoid.

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

Process a MinMax pair.

put(int) - Method in class de.lmu.ifi.dbs.elki.math.IntegerMinMax

Process a single int value.

put(int[]) - Method in class de.lmu.ifi.dbs.elki.math.IntegerMinMax

Process a whole array of int values.

put(Collection<Integer>) - Method in class de.lmu.ifi.dbs.elki.math.IntegerMinMax

Deprecated.

Collection<Integer> is expensive. Avoid.

put(IntegerMinMax) - Method in class de.lmu.ifi.dbs.elki.math.IntegerMinMax

Process a MinMax pair.

put(double[]) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Centroid

Add a single value with weight 1.0.

put(double[], double) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Centroid

Add data with a given weight.

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

Add a single value with weight 1.0.

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

Add data with a given weight.

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

Add a single value with weight 1.0.

put(NumberVector, double) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Centroid

Add data with a given weight.

put(double[]) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.CovarianceMatrix

Add a single value with weight 1.0.

put(double[], double) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.CovarianceMatrix

Add data with a given weight.

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

Add a single value with weight 1.0.

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

Add data with a given weight.

put(NumberVector) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.CovarianceMatrix

Add a single value with weight 1.0.

put(NumberVector, double) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.CovarianceMatrix

Add data with a given weight.

put(double[]) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.ProjectedCentroid

Add a single value with weight 1.0.

put(double[], double) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.ProjectedCentroid

Add data with a given weight.

put(NumberVector) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.ProjectedCentroid

Add a single value with weight 1.0.

put(NumberVector, double) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.ProjectedCentroid

Add data with a given weight.

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

Add a single value with weight 1.0

put(double, double) - Method in class de.lmu.ifi.dbs.elki.math.Mean

Add data with a given weight.

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

Join the data of another MeanVariance instance.

put(double[]) - Method in class de.lmu.ifi.dbs.elki.math.Mean

Add values with weight 1.0

put(double[], double[]) - Method in class de.lmu.ifi.dbs.elki.math.Mean

Add values with weight 1.0

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

Add a single value with weight 1.0

put(double, double) - Method in class de.lmu.ifi.dbs.elki.math.MeanVariance

Add data with a given weight.

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

Join the data of another MeanVariance instance.

put(double[]) - Method in class de.lmu.ifi.dbs.elki.math.MeanVariance

Add values with weight 1.0

put(double[], double[]) - Method in class de.lmu.ifi.dbs.elki.math.MeanVariance

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

put(double, double) - Method in class de.lmu.ifi.dbs.elki.math.MeanVarianceMinMax

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

put(double[]) - Method in class de.lmu.ifi.dbs.elki.math.MeanVarianceMinMax

Add values with weight 1.0

put(double[], double[]) - Method in class de.lmu.ifi.dbs.elki.math.MeanVarianceMinMax

put(double, double, double) - Method in class de.lmu.ifi.dbs.elki.math.PearsonCorrelation

Put a single value into the correlation statistic.

put(double, double) - Method in class de.lmu.ifi.dbs.elki.math.PearsonCorrelation

Put a single value into the correlation statistic.

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

Add a single value with weight 1.0

put(double, double) - Method in class de.lmu.ifi.dbs.elki.math.StatisticalMoments

Add data with a given weight.

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

Join the data of another MeanVariance instance.

put(double, double) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.MeanVarianceStaticHistogram

Update the value of a bin with new data.

put(PlotItem, VisualizationTask, Element, Visualization) - Method in class de.lmu.ifi.dbs.elki.visualization.gui.overview.LayerMap

Put a new combination into the map.

put(PlotItem, VisualizationTask, Pair<Element, Visualization>) - Method in class de.lmu.ifi.dbs.elki.visualization.gui.overview.LayerMap

Put a new item into the visualizations

put(double, double, T) - Method in class de.lmu.ifi.dbs.elki.visualization.gui.overview.RectangleArranger

Add a new recangle.

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

Put fresh data into the histogram (or into the cache)

putData(double, double[]) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.DoubleArrayStaticHistogram

Deprecated.

use the explicit DoubleArrayStaticHistogram.increment(double, double[]) instead.

putData(double, int[]) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.IntArrayStaticHistogram

Deprecated.

use the explicit IntArrayStaticHistogram.increment(double, int[]) instead.

putData(double, long[]) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.LongArrayStaticHistogram

Deprecated.

use the explicit LongArrayStaticHistogram.increment(double, long[]) instead.

putData(double, MeanVariance) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.MeanVarianceStaticHistogram

Aggregate new data into the histogram.

putData(double, T) - Method in interface de.lmu.ifi.dbs.elki.utilities.datastructures.histogram.ObjHistogram

Aggregate new data into the histogram.

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

putDBID(DBIDRef, DBIDRef) - Method in class de.lmu.ifi.dbs.elki.database.datastore.memory.MapIntegerDBIDDBIDStore

putDBID(DBIDRef, DBIDRef) - Method in interface de.lmu.ifi.dbs.elki.database.datastore.WritableDBIDDataStore

Associates the specified value with the specified id in this storage.

putDouble(DBIDRef, double) - Method in class de.lmu.ifi.dbs.elki.database.datastore.memory.ArrayDoubleStore

putDouble(DBIDRef, double) - Method in class de.lmu.ifi.dbs.elki.database.datastore.memory.MapIntegerDBIDDoubleStore

putDouble(DBIDRef, double) - Method in interface de.lmu.ifi.dbs.elki.database.datastore.WritableDoubleDataStore

Associates the specified value with the specified id in this storage.

putIdElement(String, Element) - Method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGPlot

Add an object id.

putInt(DBIDRef, int) - Method in class de.lmu.ifi.dbs.elki.database.datastore.memory.ArrayIntegerStore

putInt(DBIDRef, int) - Method in class de.lmu.ifi.dbs.elki.database.datastore.memory.MapIntegerDBIDIntegerStore

putInt(DBIDRef, int) - Method in interface de.lmu.ifi.dbs.elki.database.datastore.WritableIntegerDataStore

Associates the specified value with the specified id in this storage.

putRec(O, HashMapHierarchy.Rec<O>) - Method in class de.lmu.ifi.dbs.elki.utilities.datastructures.hierarchy.HashMapHierarchy

Put a record.

PWM2Estimator - Class in de.lmu.ifi.dbs.elki.math.statistics.intrinsicdimensionality

Probability weighted moments based estimator, using the second moment.

PWM2Estimator() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.intrinsicdimensionality.PWM2Estimator

PWM2Estimator.Parameterizer - Class in de.lmu.ifi.dbs.elki.math.statistics.intrinsicdimensionality

Parameterization class.

PWMEstimator - Class in de.lmu.ifi.dbs.elki.math.statistics.intrinsicdimensionality

Probability weighted moments based estimator.

PWMEstimator() - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.intrinsicdimensionality.PWMEstimator

PWMEstimator.Parameterizer - Class in de.lmu.ifi.dbs.elki.math.statistics.intrinsicdimensionality

Parameterization class.

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