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

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

P

p - Variable in class elki.clustering.hierarchical.AbstractHDBSCAN.HDBSCANAdapter: Iterators for accessing the data objects.
p - Variable in class elki.distance.minkowski.LPIntegerNormDistance.Par: The value of p.
p - Variable in class elki.distance.minkowski.LPNormDistance: p parameter and its inverse.
p - Variable in class elki.distance.minkowski.LPNormDistance.Par: The value of p.
p - Variable in class elki.distance.minkowski.SparseLPNormDistance: Parameter and its inverse.
p - Variable in class elki.distance.minkowski.SparseLPNormDistance.Par: Value for p
p - Variable in class elki.distance.subspace.SubspaceLPNormDistance: Value of p
p - Variable in class elki.distance.subspace.SubspaceLPNormDistance.Par: Value of p.
p - Variable in class elki.evaluation.clustering.internal.DaviesBouldinIndex: Exponent p for computing the power mean.
p - Variable in class elki.evaluation.clustering.internal.DaviesBouldinIndex.Par: Exponent p for computing the power mean.
p - Variable in class elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppTreeSettings: Parameter p.
p - Variable in class elki.index.vafile.PartialVAFile.PartialVAFileKNNQuery: Lp-Norm p.
p - Variable in class elki.index.vafile.PartialVAFile.PartialVAFileRangeQuery: Lp-Norm p.
p - Variable in class elki.index.vafile.VAFile.VAFileKNNQuery: LP Norm p parameter.
p - Variable in class elki.index.vafile.VAFile.VAFileRangeQuery: LP Norm p parameter.
p - Variable in class elki.math.statistics.distribution.PoissonDistribution: Success probability
p - Variable in class elki.math.statistics.distribution.PoissonDistribution.Par: Success probability.
p - Variable in class elki.math.statistics.PolynomialRegression: The order of the polynom.
p - Variable in class elki.outlier.distance.DBOutlierDetection: Density threshold percentage p.
p - Variable in class elki.outlier.distance.DBOutlierDetection.Par: Density threshold p.
p - Variable in class elki.outlier.spatial.TrimmedMeanApproach: the parameter p.
p - Variable in class elki.svm.EpsilonSVR
p - Variable in class elki.svm.solver.Solver
p - Variable in class elki.utilities.ELKIBuilder: Parameter list.
p - Variable in class elki.utilities.random.XorShift1024NonThreadsafeRandom: For rotating amongst states
p - Variable in class elki.visualization.projections.AbstractProjection: Projector used
p - Variable in class elki.visualization.projections.SimpleParallel: Projector
p - Variable in class elki.visualization.visualizers.scatterplot.index.TreeSphereVisualization.Instance
P_HIGH - Static variable in class elki.math.statistics.distribution.NormalDistribution: Treshold for switching nethods for erfinv approximation
P_ID - Static variable in class elki.distance.minkowski.LPNormDistance.Par: OptionID for the "p" parameter
P_ID - Static variable in class elki.outlier.distance.DBOutlierDetection.Par: Parameter to specify the minimum fraction of objects that must be outside the D- neighborhood of an outlier
P_LOW - Static variable in class elki.math.statistics.distribution.NormalDistribution: Treshold for switching nethods for erfinv approximation
P3C - Class in elki.clustering.subspace: P3C: A Robust Projected Clustering Algorithm.
P3C(double, double, int, double, int) - Constructor for class elki.clustering.subspace.P3C: Constructor.
P3C.ClusterCandidate - Class in elki.clustering.subspace: This class is used to represent potential clusters.
P3C.Par - Class in elki.clustering.subspace: Parameterization class.
P3C.Signature - Class in elki.clustering.subspace: P3C Cluster signature.
PACKAGE - Static variable in class elki.gui.icons.StockIcon
PackageNode(String, String) - Constructor for class elki.gui.util.ClassTree.PackageNode: Current class name.
pad(String, int) - Static method in class elki.utilities.io.FormatUtil: Pad a string to a given length by adding whitespace to the right.
padRightAligned(String, int) - Static method in class elki.utilities.io.FormatUtil: Pad a string to a given length by adding whitespace to the left.
Page - Interface in elki.persistent: Defines the requirements for objects that can be stored in a cache and can be persistently saved.
PAGE - Static variable in interface elki.visualization.style.StyleLibrary: Page
pageclass - Variable in class elki.persistent.PersistentPageFile: The type of pages we use.
PagedIndexFactory<O> - Class in elki.index: Abstract base class for tree-based indexes.
PagedIndexFactory(PageFileFactory<?>) - Constructor for class elki.index.PagedIndexFactory: Constructor.
PagedIndexFactory.Par<O> - Class in elki.index: Parameterization class.
PageFile - Interface in elki.persistent: Page file interface.
PAGEFILE_ID - Static variable in class elki.index.PagedIndexFactory.Par: Optional parameter that specifies the factory type of pagefile to use for the index.
PAGEFILE_ID - Static variable in class elki.persistent.LRUCachePageFileFactory.Par: Parameter to specify the inner pagefile.
pageFileFactory - Variable in class elki.index.PagedIndexFactory: Page file factory.
pageFileFactory - Variable in class elki.index.PagedIndexFactory.Par: Page file factory.
pageFileFactory - Variable in class elki.persistent.LRUCachePageFileFactory: Inner page file factory.
pageFileFactory - Variable in class elki.persistent.LRUCachePageFileFactory.Par: Inner page file factory.
PageFileFactory - Interface in elki.persistent: Factory interface for generating page files.
PageHeader - Interface in elki.persistent: Defines the requirements for a header of a persistent page file.
pagesize - Variable in class elki.index.vafile.PartialVAFile.Factory: Page size.
pagesize - Variable in class elki.index.vafile.PartialVAFile.Factory.Par: Page size.
pagesize - Variable in class elki.index.vafile.VAFile.Factory: Page size.
pagesize - Variable in class elki.index.vafile.VAFile.Factory.Par: Page size.
pageSize - Variable in class elki.index.vafile.PartialVAFile: Page size.
pageSize - Variable in class elki.index.vafile.VAFile: Page size, for estimating the VA file size.
pageSize - Variable in class elki.persistent.AbstractPageFileFactory: Holds the value of AbstractPageFileFactory.Par.PAGE_SIZE_ID.
pageSize - Variable in class elki.persistent.AbstractStoringPageFile: The size of a page in Bytes.
pageSize - Variable in class elki.persistent.DefaultPageHeader: The size of a page in bytes.
pageToByteArray(P) - Method in class elki.persistent.OnDiskArrayPageFile: Serializes an object into a byte array.
pageToByteArray(P) - Method in class elki.persistent.PersistentPageFile: Serializes an object into a byte array.
Pair<F,S> - Class in elki.utilities.pairs: Simple class wrapping two objects.
Pair(F, S) - Constructor for class elki.utilities.pairs.Pair: Initialize pair
paircount - Variable in class elki.evaluation.clustering.ClusterContingencyTable: Pair counting measures
PairCounting - Class in elki.evaluation.clustering: Pair-counting measures, with support for "noise" clusters and self-pairing support.
PairCounting(ClusterContingencyTable) - Constructor for class elki.evaluation.clustering.PairCounting: Constructor.
PairSetsIndex - Class in elki.evaluation.clustering: The Pair Sets Index calculates an index based on the maximum matching of relative cluster sizes by the Hungarian algorithm.
PairSetsIndex(ClusterContingencyTable) - Constructor for class elki.evaluation.clustering.PairSetsIndex: Constructor.
pairsize - Variable in class elki.evaluation.clustering.pairsegments.Segment: Size of cluster, in pairs.
palpha - Variable in class elki.math.linearalgebra.pca.filter.ProgressiveEigenPairFilter: The threshold for strong eigenvectors: the strong eigenvectors explain a portion of at least alpha of the total variance.
palpha - Variable in class elki.math.linearalgebra.pca.filter.ProgressiveEigenPairFilter.Par: The threshold for strong eigenvectors: the strong eigenvectors explain a portion of at least alpha of the total variance.
PAM<O> - Class in elki.clustering.kmedoids: The original Partitioning Around Medoids (PAM) algorithm or k-medoids clustering, as proposed by Kaufman and Rousseeuw; a largely equivalent method was also proposed by Whitaker in the operations research domain, and is well known by the name "fast interchange" there.
PAM(Distance<? super O>, int, int, KMedoidsInitialization<O>) - Constructor for class elki.clustering.kmedoids.PAM: Constructor.
PAM.Instance - Class in elki.clustering.kmedoids: Instance for a single dataset.
PAM.Par<O> - Class in elki.clustering.kmedoids: Parameterization class.
PAMMEDSIL<O> - Class in elki.clustering.silhouette: Clustering to optimize the Medoid Silhouette coefficient with a PAM-based swap heuristic.
PAMMEDSIL(Distance<? super O>, int, int, KMedoidsInitialization<O>) - Constructor for class elki.clustering.silhouette.PAMMEDSIL: Constructor.
PAMMEDSIL.Instance - Class in elki.clustering.silhouette: Instance for a single dataset.
PAMMEDSIL.Par<O> - Class in elki.clustering.silhouette: Parameterization class.
PAMSIL<O> - Class in elki.clustering.silhouette: Clustering to optimize the Silhouette coefficient with a PAM-based swap heuristic.
PAMSIL(Distance<? super O>, int, int, KMedoidsInitialization<O>) - Constructor for class elki.clustering.silhouette.PAMSIL: Constructor.
PAMSIL.Instance - Class in elki.clustering.silhouette: Instance for a single dataset.
PAMSIL.Par<O> - Class in elki.clustering.silhouette: Parameterization class.
panel - Variable in class elki.gui.configurator.ClassListParameterConfigurator: We need a panel to put our components on.
panel - Variable in class elki.gui.configurator.ClassParameterConfigurator: We need a panel to put our components on.
panel - Variable in class elki.gui.configurator.FileParameterConfigurator: The panel to store the components
panel - Variable in class elki.gui.minigui.MiniGUI: The main panel.
panel - Variable in class elki.gui.util.ParameterTable.ClassListEditor: We need a panel to put our components on.
panel - Variable in class elki.gui.util.ParameterTable.DropdownEditor: We need a panel to ensure focusing.
panel - Variable in class elki.gui.util.ParameterTable.FileNameEditor: We need a panel to put our components on.
panelUpdated(ParameterTabPanel) - Method in class elki.gui.multistep.panels.AlgorithmTabPanel
panelUpdated(ParameterTabPanel) - Method in class elki.gui.multistep.panels.EvaluationTabPanel
panelUpdated(ParameterTabPanel) - Method in class elki.gui.multistep.panels.OutputTabPanel
panelUpdated(ParameterTabPanel) - Method in class elki.gui.multistep.panels.ParameterTabPanel: Called when an observed panel changes.
Par() - Constructor for class elki.algorithm.DependencyDerivator.Par
Par() - Constructor for class elki.algorithm.KNNDistancesSampler.Par
Par() - Constructor for class elki.algorithm.KNNJoin.Par
Par() - Constructor for class elki.algorithm.statistics.AddSingleScale.Par
Par() - Constructor for class elki.algorithm.statistics.DistanceQuantileSampler.Par
Par() - Constructor for class elki.algorithm.statistics.HopkinsStatisticClusteringTendency.Par
Par() - Constructor for class elki.application.AbstractApplication.Par
Par() - Constructor for class elki.application.cache.CacheDoubleDistanceInOnDiskMatrix.Par
Par() - Constructor for class elki.application.cache.CacheDoubleDistanceKNNLists.Par
Par() - Constructor for class elki.application.cache.CacheDoubleDistanceRangeQueries.Par
Par() - Constructor for class elki.application.cache.CacheFloatDistanceInOnDiskMatrix.Par
Par() - Constructor for class elki.application.cache.PrecomputeDistancesAsciiApplication.Par
Par() - Constructor for class elki.application.ClassifierHoldoutEvaluationTask.Par
Par() - Constructor for class elki.application.ConvertToBundleApplication.Par
Par() - Constructor for class elki.application.experiments.EvaluateIntrinsicDimensionalityEstimators.Par
Par() - Constructor for class elki.application.experiments.ORLibBenchmark.Par
Par() - Constructor for class elki.application.experiments.VisualizeGeodesicDistances.Par
Par() - Constructor for class elki.application.GeneratorXMLSpec.Par
Par() - Constructor for class elki.application.greedyensemble.ComputeKNNOutlierScores.Par
Par() - Constructor for class elki.application.greedyensemble.EvaluatePrecomputedOutlierScores.Par
Par() - Constructor for class elki.application.greedyensemble.GreedyEnsembleExperiment.Par
Par() - Constructor for class elki.application.greedyensemble.VisualizePairwiseGainMatrix.Par
Par() - Constructor for class elki.application.KDDCLIApplication.Par
Par() - Constructor for class elki.clustering.AbstractProjectedClustering.Par
Par() - Constructor for class elki.clustering.BetulaLeafPreClustering.Par
Par() - Constructor for class elki.clustering.CFSFDP.Par
Par() - Constructor for class elki.clustering.correlation.CASH.Par
Par() - Constructor for class elki.clustering.correlation.COPAC.Par
Par() - Constructor for class elki.clustering.correlation.ERiC.Par
Par() - Constructor for class elki.clustering.correlation.FourC.Par
Par() - Constructor for class elki.clustering.correlation.FourC.Settings.Par
Par() - Constructor for class elki.clustering.correlation.HiCO.Par
Par() - Constructor for class elki.clustering.correlation.LMCLUS.Par
Par() - Constructor for class elki.clustering.correlation.ORCLUS.Par
Par() - Constructor for class elki.clustering.dbscan.DBSCAN.Par
Par() - Constructor for class elki.clustering.dbscan.GeneralizedDBSCAN.Par
Par() - Constructor for class elki.clustering.dbscan.LSDBC.Par
Par() - Constructor for class elki.clustering.dbscan.parallel.ParallelGeneralizedDBSCAN.Par
Par() - Constructor for class elki.clustering.dbscan.predicates.COPACNeighborPredicate.Par
Par() - Constructor for class elki.clustering.dbscan.predicates.ERiCNeighborPredicate.Par
Par() - Constructor for class elki.clustering.dbscan.predicates.FourCCorePredicate.Par
Par() - Constructor for class elki.clustering.dbscan.predicates.FourCNeighborPredicate.Par
Par() - Constructor for class elki.clustering.dbscan.predicates.MinPtsCorePredicate.Par
Par() - Constructor for class elki.clustering.dbscan.predicates.PreDeConCorePredicate.Par
Par() - Constructor for class elki.clustering.dbscan.predicates.PreDeConNeighborPredicate.Par
Par() - Constructor for class elki.clustering.em.BetulaGMM.Par
Par() - Constructor for class elki.clustering.em.BetulaGMMWeighted.Par
Par() - Constructor for class elki.clustering.em.EM.Par
Par() - Constructor for class elki.clustering.em.KDTreeEM.Par
Par() - Constructor for class elki.clustering.em.models.BetulaDiagonalGaussianModelFactory.Par
Par() - Constructor for class elki.clustering.em.models.BetulaMultivariateGaussianModelFactory.Par
Par() - Constructor for class elki.clustering.em.models.BetulaSphericalGaussianModelFactory.Par
Par() - Constructor for class elki.clustering.hierarchical.birch.AverageInterclusterDistance.Par
Par() - Constructor for class elki.clustering.hierarchical.birch.AverageIntraclusterDistance.Par
Par() - Constructor for class elki.clustering.hierarchical.birch.BIRCHKMeansPlusPlus.Par
Par() - Constructor for class elki.clustering.hierarchical.birch.BIRCHLeafClustering.Par
Par() - Constructor for class elki.clustering.hierarchical.birch.BIRCHLloydKMeans.Par
Par() - Constructor for class elki.clustering.hierarchical.birch.CentroidEuclideanDistance.Par
Par() - Constructor for class elki.clustering.hierarchical.birch.CentroidManhattanDistance.Par
Par() - Constructor for class elki.clustering.hierarchical.birch.CFTree.Factory.Par
Par() - Constructor for class elki.clustering.hierarchical.birch.DiameterCriterion.Par
Par() - Constructor for class elki.clustering.hierarchical.birch.RadiusCriterion.Par
Par() - Constructor for class elki.clustering.hierarchical.birch.VarianceIncreaseDistance.Par
Par() - Constructor for class elki.clustering.hierarchical.CLINK.Par
Par() - Constructor for class elki.clustering.hierarchical.extraction.AbstractCutDendrogram.Par
Par() - Constructor for class elki.clustering.hierarchical.extraction.ClustersWithNoiseExtraction.Par
Par() - Constructor for class elki.clustering.hierarchical.extraction.CutDendrogramByHeight.Par
Par() - Constructor for class elki.clustering.hierarchical.extraction.CutDendrogramByNumberOfClusters.Par
Par() - Constructor for class elki.clustering.hierarchical.extraction.HDBSCANHierarchyExtraction.Par
Par() - Constructor for class elki.clustering.hierarchical.extraction.SimplifiedHierarchyExtraction.Par
Par() - Constructor for class elki.clustering.hierarchical.linkage.CentroidLinkage.Par
Par() - Constructor for class elki.clustering.hierarchical.linkage.CompleteLinkage.Par
Par() - Constructor for class elki.clustering.hierarchical.linkage.FlexibleBetaLinkage.Par
Par() - Constructor for class elki.clustering.hierarchical.linkage.GroupAverageLinkage.Par
Par() - Constructor for class elki.clustering.hierarchical.linkage.MedianLinkage.Par
Par() - Constructor for class elki.clustering.hierarchical.linkage.MinimumVarianceLinkage.Par
Par() - Constructor for class elki.clustering.hierarchical.linkage.SingleLinkage.Par
Par() - Constructor for class elki.clustering.hierarchical.linkage.WardLinkage.Par
Par() - Constructor for class elki.clustering.hierarchical.linkage.WeightedAverageLinkage.Par
Par() - Constructor for class elki.clustering.hierarchical.OPTICSToHierarchical.Par
Par() - Constructor for class elki.clustering.hierarchical.SLINK.Par
Par() - Constructor for class elki.clustering.kcenter.GreedyKCenter.Par
Par() - Constructor for class elki.clustering.kmeans.AbstractKMeans.Par
Par() - Constructor for class elki.clustering.kmeans.AnnulusKMeans.Par
Par() - Constructor for class elki.clustering.kmeans.BetulaLloydKMeans.Par
Par() - Constructor for class elki.clustering.kmeans.CompareMeans.Par
Par() - Constructor for class elki.clustering.kmeans.ElkanKMeans.Par
Par() - Constructor for class elki.clustering.kmeans.ExponionKMeans.Par
Par() - Constructor for class elki.clustering.kmeans.FuzzyCMeans.Par
Par() - Constructor for class elki.clustering.kmeans.GMeans.Par
Par() - Constructor for class elki.clustering.kmeans.HamerlyKMeans.Par
Par() - Constructor for class elki.clustering.kmeans.initialization.AbstractKMeansInitialization.Par
Par() - Constructor for class elki.clustering.kmeans.initialization.AFKMC2.Par
Par() - Constructor for class elki.clustering.kmeans.initialization.betula.AbstractCFKMeansInitialization.Par
Par() - Constructor for class elki.clustering.kmeans.initialization.betula.CFKPlusPlusLeaves.Par
Par() - Constructor for class elki.clustering.kmeans.initialization.betula.CFKPlusPlusTree.Par
Par() - Constructor for class elki.clustering.kmeans.initialization.betula.CFKPlusPlusTrunk.Par
Par() - Constructor for class elki.clustering.kmeans.initialization.betula.CFRandomlyChosen.Par
Par() - Constructor for class elki.clustering.kmeans.initialization.betula.CFWeightedRandomlyChosen.Par
Par() - Constructor for class elki.clustering.kmeans.initialization.FarthestPoints.Par
Par() - Constructor for class elki.clustering.kmeans.initialization.FarthestSumPoints.Par
Par() - Constructor for class elki.clustering.kmeans.initialization.FirstK.Par
Par() - Constructor for class elki.clustering.kmeans.initialization.KMC2.Par
Par() - Constructor for class elki.clustering.kmeans.initialization.KMeansPlusPlus.Par
Par() - Constructor for class elki.clustering.kmeans.initialization.Ostrovsky.Par
Par() - Constructor for class elki.clustering.kmeans.initialization.Predefined.Par
Par() - Constructor for class elki.clustering.kmeans.initialization.RandomlyChosen.Par
Par() - Constructor for class elki.clustering.kmeans.initialization.RandomNormalGenerated.Par
Par() - Constructor for class elki.clustering.kmeans.initialization.RandomUniformGenerated.Par
Par() - Constructor for class elki.clustering.kmeans.initialization.SphericalAFKMC2.Par
Par() - Constructor for class elki.clustering.kmeans.initialization.SphericalKMeansPlusPlus.Par
Par() - Constructor for class elki.clustering.kmeans.KDTreeFilteringKMeans.Par
Par() - Constructor for class elki.clustering.kmeans.KDTreePruningKMeans.Par
Par() - Constructor for class elki.clustering.kmeans.KMeansMinusMinus.Par
Par() - Constructor for class elki.clustering.kmeans.KMediansLloyd.Par
Par() - Constructor for class elki.clustering.kmeans.LloydKMeans.Par
Par() - Constructor for class elki.clustering.kmeans.MacQueenKMeans.Par
Par() - Constructor for class elki.clustering.kmeans.ShallotKMeans.Par
Par() - Constructor for class elki.clustering.kmeans.SimplifiedElkanKMeans.Par
Par() - Constructor for class elki.clustering.kmeans.SingleAssignmentKMeans.Par
Par() - Constructor for class elki.clustering.kmeans.SortMeans.Par
Par() - Constructor for class elki.clustering.kmeans.spherical.EuclideanSphericalElkanKMeans.Par
Par() - Constructor for class elki.clustering.kmeans.spherical.EuclideanSphericalHamerlyKMeans.Par
Par() - Constructor for class elki.clustering.kmeans.spherical.EuclideanSphericalSimplifiedElkanKMeans.Par
Par() - Constructor for class elki.clustering.kmeans.spherical.SphericalElkanKMeans.Par
Par() - Constructor for class elki.clustering.kmeans.spherical.SphericalHamerlyKMeans.Par
Par() - Constructor for class elki.clustering.kmeans.spherical.SphericalKMeans.Par
Par() - Constructor for class elki.clustering.kmeans.spherical.SphericalSimplifiedElkanKMeans.Par
Par() - Constructor for class elki.clustering.kmeans.spherical.SphericalSimplifiedHamerlyKMeans.Par
Par() - Constructor for class elki.clustering.kmeans.spherical.SphericalSingleAssignmentKMeans.Par
Par() - Constructor for class elki.clustering.kmeans.YinYangKMeans.Par
Par() - Constructor for class elki.clustering.kmedoids.AlternatingKMedoids.Par
Par() - Constructor for class elki.clustering.kmedoids.CLARA.Par
Par() - Constructor for class elki.clustering.kmedoids.CLARANS.Par
Par() - Constructor for class elki.clustering.kmedoids.EagerPAM.Par
Par() - Constructor for class elki.clustering.kmedoids.FastCLARA.Par
Par() - Constructor for class elki.clustering.kmedoids.FastCLARANS.Par
Par() - Constructor for class elki.clustering.kmedoids.FasterCLARA.Par
Par() - Constructor for class elki.clustering.kmedoids.FasterPAM.Par
Par() - Constructor for class elki.clustering.kmedoids.FastPAM.Par
Par() - Constructor for class elki.clustering.kmedoids.FastPAM1.Par
Par() - Constructor for class elki.clustering.kmedoids.initialization.AlternateRefinement.Par
Par() - Constructor for class elki.clustering.kmedoids.initialization.BUILD.Par
Par() - Constructor for class elki.clustering.kmedoids.initialization.GreedyG.Par
Par() - Constructor for class elki.clustering.kmedoids.initialization.KMedoidsKMedoidsInitialization.Par
Par() - Constructor for class elki.clustering.kmedoids.initialization.LAB.Par
Par() - Constructor for class elki.clustering.kmedoids.initialization.ParkJun.Par
Par() - Constructor for class elki.clustering.kmedoids.PAM.Par
Par() - Constructor for class elki.clustering.kmedoids.ReynoldsPAM.Par
Par() - Constructor for class elki.clustering.kmedoids.SingleAssignmentKMedoids.Par
Par() - Constructor for class elki.clustering.meta.ExternalClustering.Par
Par() - Constructor for class elki.clustering.onedimensional.KNNKernelDensityMinimaClustering.Par
Par() - Constructor for class elki.clustering.optics.DeLiClu.Par
Par() - Constructor for class elki.clustering.optics.OPTICSHeap.Par
Par() - Constructor for class elki.clustering.optics.OPTICSList.Par
Par() - Constructor for class elki.clustering.optics.OPTICSXi.Par
Par() - Constructor for class elki.clustering.silhouette.FasterMSC.Par
Par() - Constructor for class elki.clustering.silhouette.FastMSC.Par
Par() - Constructor for class elki.clustering.silhouette.PAMMEDSIL.Par
Par() - Constructor for class elki.clustering.silhouette.PAMSIL.Par
Par() - Constructor for class elki.clustering.subspace.CLIQUE.Par
Par() - Constructor for class elki.clustering.subspace.DiSH.Par
Par() - Constructor for class elki.clustering.subspace.DOC.Par
Par() - Constructor for class elki.clustering.subspace.FastDOC.Par
Par() - Constructor for class elki.clustering.subspace.HiSC.Par
Par() - Constructor for class elki.clustering.subspace.P3C.Par
Par() - Constructor for class elki.clustering.subspace.PreDeCon.Par
Par() - Constructor for class elki.clustering.subspace.PreDeCon.Settings.Par
Par() - Constructor for class elki.clustering.subspace.PROCLUS.Par
Par() - Constructor for class elki.clustering.subspace.SUBCLU.Par
Par() - Constructor for class elki.clustering.trivial.ByLabelClustering.Par
Par() - Constructor for class elki.clustering.trivial.ByModelClustering.Par
Par() - Constructor for class elki.clustering.uncertain.CenterOfMassMetaClustering.Par
Par() - Constructor for class elki.clustering.uncertain.CKMeans.Par
Par() - Constructor for class elki.clustering.uncertain.FDBSCAN.Par
Par() - Constructor for class elki.clustering.uncertain.FDBSCANNeighborPredicate.Par
Par() - Constructor for class elki.clustering.uncertain.RepresentativeUncertainClustering.Par
Par() - Constructor for class elki.clustering.uncertain.UKMeans.Par
Par() - Constructor for class elki.data.BitVector.Factory.Par
Par() - Constructor for class elki.data.ByteVector.Factory.Par
Par() - Constructor for class elki.data.DoubleVector.Factory.Par
Par() - Constructor for class elki.data.FloatVector.Factory.Par
Par() - Constructor for class elki.data.IntegerVector.Factory.Par
Par() - Constructor for class elki.data.OneDimensionalDoubleVector.Factory.Par
Par() - Constructor for class elki.data.projection.FeatureSelection.Par
Par() - Constructor for class elki.data.projection.NumericalFeatureSelection.Par
Par() - Constructor for class elki.data.projection.random.AbstractRandomProjectionFamily.Par
Par() - Constructor for class elki.data.projection.random.AchlioptasRandomProjectionFamily.Par
Par() - Constructor for class elki.data.projection.random.CauchyRandomProjectionFamily.Par
Par() - Constructor for class elki.data.projection.random.GaussianRandomProjectionFamily.Par
Par() - Constructor for class elki.data.projection.random.RandomSubsetProjectionFamily.Par
Par() - Constructor for class elki.data.projection.random.SimplifiedRandomHyperplaneProjectionFamily.Par
Par() - Constructor for class elki.data.projection.RandomProjection.Par
Par() - Constructor for class elki.data.ShortVector.Factory.Par
Par() - Constructor for class elki.data.SparseByteVector.Factory.Par
Par() - Constructor for class elki.data.SparseDoubleVector.Factory.Par
Par() - Constructor for class elki.data.SparseFloatVector.Factory.Par
Par() - Constructor for class elki.data.SparseIntegerVector.Factory.Par
Par() - Constructor for class elki.data.SparseShortVector.Factory.Par
Par() - Constructor for class elki.data.uncertain.uncertainifier.AbstractDiscreteUncertainifier.Par
Par() - Constructor for class elki.data.uncertain.uncertainifier.SimpleGaussianUncertainifier.Par
Par() - Constructor for class elki.data.uncertain.uncertainifier.UniformUncertainifier.Par
Par() - Constructor for class elki.data.uncertain.uncertainifier.UnweightedDiscreteUncertainifier.Par
Par() - Constructor for class elki.data.uncertain.uncertainifier.WeightedDiscreteUncertainifier.Par
Par() - Constructor for class elki.database.AbstractDatabase.Par
Par() - Constructor for class elki.database.HashmapDatabase.Par
Par() - Constructor for class elki.database.query.DisableQueryOptimizer.Par
Par() - Constructor for class elki.database.StaticArrayDatabase.Par
Par() - Constructor for class elki.datasource.AbstractDatabaseConnection.Par
Par() - Constructor for class elki.datasource.BundleDatabaseConnection.Par
Par() - Constructor for class elki.datasource.ConcatenateFilesDatabaseConnection.Par
Par() - Constructor for class elki.datasource.DBIDRangeDatabaseConnection.Par
Par() - Constructor for class elki.datasource.ExternalIDJoinDatabaseConnection.Par
Par() - Constructor for class elki.datasource.FileBasedDatabaseConnection.Par
Par() - Constructor for class elki.datasource.filter.cleaning.DropNaNFilter.Par
Par() - Constructor for class elki.datasource.filter.cleaning.NoMissingValuesFilter.Par
Par() - Constructor for class elki.datasource.filter.cleaning.ReplaceNaNWithRandomFilter.Par
Par() - Constructor for class elki.datasource.filter.FixedDBIDsFilter.Par
Par() - Constructor for class elki.datasource.filter.normalization.columnwise.AttributeWiseBetaNormalization.Par
Par() - Constructor for class elki.datasource.filter.normalization.columnwise.AttributeWiseCDFNormalization.Par
Par() - Constructor for class elki.datasource.filter.normalization.columnwise.AttributeWiseMinMaxNormalization.Par
Par() - Constructor for class elki.datasource.filter.normalization.columnwise.AttributeWiseVarianceNormalization.Par
Par() - Constructor for class elki.datasource.filter.normalization.instancewise.HellingerHistogramNormalization.Par
Par() - Constructor for class elki.datasource.filter.normalization.instancewise.InstanceLogRankNormalization.Par
Par() - Constructor for class elki.datasource.filter.normalization.instancewise.InstanceMeanVarianceNormalization.Par
Par() - Constructor for class elki.datasource.filter.normalization.instancewise.InstanceMinMaxNormalization.Par
Par() - Constructor for class elki.datasource.filter.normalization.instancewise.InstanceRankNormalization.Par
Par() - Constructor for class elki.datasource.filter.normalization.instancewise.LengthNormalization.Par
Par() - Constructor for class elki.datasource.filter.normalization.instancewise.Log1PlusNormalization.Par
Par() - Constructor for class elki.datasource.filter.selection.ByLabelFilter.Par
Par() - Constructor for class elki.datasource.filter.selection.FirstNStreamFilter.Par
Par() - Constructor for class elki.datasource.filter.selection.RandomSamplingStreamFilter.Par
Par() - Constructor for class elki.datasource.filter.selection.ShuffleObjectsFilter.Par
Par() - Constructor for class elki.datasource.filter.transform.FastMultidimensionalScalingTransform.Par
Par() - Constructor for class elki.datasource.filter.transform.GlobalPrincipalComponentAnalysisTransform.Par
Par() - Constructor for class elki.datasource.filter.transform.HistogramJitterFilter.Par
Par() - Constructor for class elki.datasource.filter.transform.LinearDiscriminantAnalysisFilter.Par
Par() - Constructor for class elki.datasource.filter.transform.NumberVectorFeatureSelectionFilter.Par
Par() - Constructor for class elki.datasource.filter.transform.NumberVectorRandomFeatureSelectionFilter.Par
Par() - Constructor for class elki.datasource.filter.transform.PerturbationFilter.Par
Par() - Constructor for class elki.datasource.filter.typeconversions.ClassLabelFilter.Par
Par() - Constructor for class elki.datasource.filter.typeconversions.ClassLabelFromPatternFilter.Par
Par() - Constructor for class elki.datasource.filter.typeconversions.ExternalIDFilter.Par
Par() - Constructor for class elki.datasource.filter.typeconversions.SplitNumberVectorFilter.Par
Par() - Constructor for class elki.datasource.filter.typeconversions.UncertainifyFilter.Par
Par() - Constructor for class elki.datasource.filter.typeconversions.UncertainSplitFilter.Par
Par() - Constructor for class elki.datasource.filter.typeconversions.WeightedUncertainSplitFilter.Par
Par() - Constructor for class elki.datasource.GeneratorXMLDatabaseConnection.Par
Par() - Constructor for class elki.datasource.InputStreamDatabaseConnection.Par
Par() - Constructor for class elki.datasource.LabelJoinDatabaseConnection.Par
Par() - Constructor for class elki.datasource.parser.AbstractStreamingParser.Par
Par() - Constructor for class elki.datasource.parser.ArffParser.Par
Par() - Constructor for class elki.datasource.parser.BitVectorLabelParser.Par
Par() - Constructor for class elki.datasource.parser.CategorialDataAsNumberVectorParser.Par
Par() - Constructor for class elki.datasource.parser.ClusteringVectorParser.Par
Par() - Constructor for class elki.datasource.parser.CSVReaderFormat.Par
Par() - Constructor for class elki.datasource.parser.LibSVMFormatParser.Par
Par() - Constructor for class elki.datasource.parser.NumberVectorLabelParser.Par
Par() - Constructor for class elki.datasource.parser.SimplePolygonParser.Par
Par() - Constructor for class elki.datasource.parser.SimpleTransactionParser.Par
Par() - Constructor for class elki.datasource.parser.SparseNumberVectorLabelParser.Par
Par() - Constructor for class elki.datasource.parser.StringParser.Par
Par() - Constructor for class elki.datasource.parser.TermFrequencyParser.Par
Par() - Constructor for class elki.datasource.PresortedBlindJoinDatabaseConnection.Par
Par() - Constructor for class elki.datasource.RandomDoubleVectorDatabaseConnection.Par
Par() - Constructor for class elki.distance.adapter.AbstractSimilarityAdapter.Par
Par() - Constructor for class elki.distance.adapter.ArccosSimilarityAdapter.Par
Par() - Constructor for class elki.distance.adapter.LinearSimilarityAdapter.Par
Par() - Constructor for class elki.distance.adapter.LnSimilarityAdapter.Par
Par() - Constructor for class elki.distance.ArcCosineDistance.Par
Par() - Constructor for class elki.distance.ArcCosineUnitlengthDistance.Par
Par() - Constructor for class elki.distance.BrayCurtisDistance.Par
Par() - Constructor for class elki.distance.CanberraDistance.Par
Par() - Constructor for class elki.distance.ClarkDistance.Par
Par() - Constructor for class elki.distance.colorhistogram.HistogramIntersectionDistance.Par
Par() - Constructor for class elki.distance.colorhistogram.HSBHistogramQuadraticDistance.Par
Par() - Constructor for class elki.distance.colorhistogram.RGBHistogramQuadraticDistance.Par
Par() - Constructor for class elki.distance.correlation.AbsolutePearsonCorrelationDistance.Par
Par() - Constructor for class elki.distance.correlation.AbsoluteUncenteredCorrelationDistance.Par
Par() - Constructor for class elki.distance.correlation.PearsonCorrelationDistance.Par
Par() - Constructor for class elki.distance.correlation.SquaredPearsonCorrelationDistance.Par
Par() - Constructor for class elki.distance.correlation.SquaredUncenteredCorrelationDistance.Par
Par() - Constructor for class elki.distance.correlation.UncenteredCorrelationDistance.Par
Par() - Constructor for class elki.distance.correlation.WeightedPearsonCorrelationDistance.Par
Par() - Constructor for class elki.distance.correlation.WeightedSquaredPearsonCorrelationDistance.Par
Par() - Constructor for class elki.distance.CosineDistance.Par
Par() - Constructor for class elki.distance.CosineUnitlengthDistance.Par
Par() - Constructor for class elki.distance.external.AsciiDistanceParser.Par
Par() - Constructor for class elki.distance.external.DiskCacheBasedDoubleDistance.Par
Par() - Constructor for class elki.distance.external.DiskCacheBasedFloatDistance.Par
Par() - Constructor for class elki.distance.external.FileBasedSparseDoubleDistance.Par
Par() - Constructor for class elki.distance.external.FileBasedSparseFloatDistance.Par
Par() - Constructor for class elki.distance.geo.DimensionSelectingLatLngDistance.Par
Par() - Constructor for class elki.distance.geo.LatLngDistance.Par
Par() - Constructor for class elki.distance.geo.LngLatDistance.Par
Par() - Constructor for class elki.distance.histogram.HistogramMatchDistance.Par
Par() - Constructor for class elki.distance.histogram.KolmogorovSmirnovDistance.Par
Par() - Constructor for class elki.distance.minkowski.EuclideanDistance.Par
Par() - Constructor for class elki.distance.minkowski.LPIntegerNormDistance.Par
Par() - Constructor for class elki.distance.minkowski.LPNormDistance.Par
Par() - Constructor for class elki.distance.minkowski.ManhattanDistance.Par
Par() - Constructor for class elki.distance.minkowski.MaximumDistance.Par
Par() - Constructor for class elki.distance.minkowski.MinimumDistance.Par
Par() - Constructor for class elki.distance.minkowski.SparseEuclideanDistance.Par
Par() - Constructor for class elki.distance.minkowski.SparseLPNormDistance.Par
Par() - Constructor for class elki.distance.minkowski.SparseManhattanDistance.Par
Par() - Constructor for class elki.distance.minkowski.SparseMaximumDistance.Par
Par() - Constructor for class elki.distance.minkowski.SparseSquaredEuclideanDistance.Par
Par() - Constructor for class elki.distance.minkowski.SquaredEuclideanDistance.Par
Par() - Constructor for class elki.distance.minkowski.WeightedEuclideanDistance.Par
Par() - Constructor for class elki.distance.minkowski.WeightedLPNormDistance.Par
Par() - Constructor for class elki.distance.minkowski.WeightedManhattanDistance.Par
Par() - Constructor for class elki.distance.minkowski.WeightedMaximumDistance.Par
Par() - Constructor for class elki.distance.minkowski.WeightedSquaredEuclideanDistance.Par
Par() - Constructor for class elki.distance.probabilistic.ChiDistance.Par
Par() - Constructor for class elki.distance.probabilistic.ChiSquaredDistance.Par
Par() - Constructor for class elki.distance.probabilistic.FisherRaoDistance.Par
Par() - Constructor for class elki.distance.probabilistic.HellingerDistance.Par
Par() - Constructor for class elki.distance.probabilistic.JeffreyDivergenceDistance.Par
Par() - Constructor for class elki.distance.probabilistic.JensenShannonDivergenceDistance.Par
Par() - Constructor for class elki.distance.probabilistic.KullbackLeiblerDivergenceAsymmetricDistance.Par
Par() - Constructor for class elki.distance.probabilistic.KullbackLeiblerDivergenceReverseAsymmetricDistance.Par
Par() - Constructor for class elki.distance.probabilistic.SqrtJensenShannonDivergenceDistance.Par
Par() - Constructor for class elki.distance.probabilistic.TriangularDiscriminationDistance.Par
Par() - Constructor for class elki.distance.probabilistic.TriangularDistance.Par
Par() - Constructor for class elki.distance.RandomStableDistance.Par
Par() - Constructor for class elki.distance.set.HammingDistance.Par
Par() - Constructor for class elki.distance.SharedNearestNeighborJaccardDistance.Par
Par() - Constructor for class elki.distance.SqrtCosineDistance.Par
Par() - Constructor for class elki.distance.SqrtCosineUnitlengthDistance.Par
Par() - Constructor for class elki.distance.strings.LevenshteinDistance.Par
Par() - Constructor for class elki.distance.strings.NormalizedLevenshteinDistance.Par
Par() - Constructor for class elki.distance.subspace.AbstractDimensionsSelectingDistance.Par
Par() - Constructor for class elki.distance.subspace.OnedimensionalDistance.Par
Par() - Constructor for class elki.distance.subspace.SubspaceEuclideanDistance.Par
Par() - Constructor for class elki.distance.subspace.SubspaceLPNormDistance.Par
Par() - Constructor for class elki.distance.subspace.SubspaceManhattanDistance.Par
Par() - Constructor for class elki.distance.subspace.SubspaceMaximumDistance.Par
Par() - Constructor for class elki.distance.timeseries.AbstractEditDistance.Par
Par() - Constructor for class elki.distance.timeseries.DTWDistance.Par
Par() - Constructor for class elki.distance.timeseries.EDRDistance.Par
Par() - Constructor for class elki.distance.timeseries.ERPDistance.Par
Par() - Constructor for class elki.distance.timeseries.LCSSDistance.Par
Par() - Constructor for class elki.distance.WeightedCanberraDistance.Par
Par() - Constructor for class elki.evaluation.AutomaticEvaluation.Par
Par() - Constructor for class elki.evaluation.classification.holdout.DisjointCrossValidation.Par
Par() - Constructor for class elki.evaluation.classification.holdout.RandomizedCrossValidation.Par
Par() - Constructor for class elki.evaluation.classification.holdout.RandomizedHoldout.Par
Par() - Constructor for class elki.evaluation.classification.holdout.StratifiedCrossValidation.Par
Par() - Constructor for class elki.evaluation.clustering.EvaluateClustering.Par
Par() - Constructor for class elki.evaluation.clustering.extractor.CutDendrogramByHeightExtractor.Par
Par() - Constructor for class elki.evaluation.clustering.extractor.CutDendrogramByNumberOfClustersExtractor.Par
Par() - Constructor for class elki.evaluation.clustering.extractor.HDBSCANHierarchyExtractionEvaluator.Par
Par() - Constructor for class elki.evaluation.clustering.extractor.SimplifiedHierarchyExtractionEvaluator.Par
Par() - Constructor for class elki.evaluation.clustering.internal.CIndex.Par
Par() - Constructor for class elki.evaluation.clustering.internal.ClusterRadius.Par
Par() - Constructor for class elki.evaluation.clustering.internal.ConcordantPairsGammaTau.Par
Par() - Constructor for class elki.evaluation.clustering.internal.DaviesBouldinIndex.Par
Par() - Constructor for class elki.evaluation.clustering.internal.DBCV.Par
Par() - Constructor for class elki.evaluation.clustering.internal.PBMIndex.Par
Par() - Constructor for class elki.evaluation.clustering.internal.Silhouette.Par
Par() - Constructor for class elki.evaluation.clustering.internal.SimplifiedSilhouette.Par
Par() - Constructor for class elki.evaluation.clustering.internal.SquaredErrors.Par
Par() - Constructor for class elki.evaluation.clustering.internal.VarianceRatioCriterion.Par
Par() - Constructor for class elki.evaluation.NoAutomaticEvaluation.Par
Par() - Constructor for class elki.evaluation.outlier.ComputeOutlierHistogram.Par
Par() - Constructor for class elki.evaluation.outlier.JudgeOutlierScores.Par
Par() - Constructor for class elki.evaluation.outlier.OutlierPrecisionAtKCurve.Par
Par() - Constructor for class elki.evaluation.outlier.OutlierPrecisionRecallCurve.Par
Par() - Constructor for class elki.evaluation.outlier.OutlierPrecisionRecallGainCurve.Par
Par() - Constructor for class elki.evaluation.outlier.OutlierRankingEvaluation.Par
Par() - Constructor for class elki.evaluation.outlier.OutlierROCCurve.Par
Par() - Constructor for class elki.evaluation.outlier.OutlierSmROCCurve.Par
Par() - Constructor for class elki.evaluation.outlier.OutlierThresholdClustering.Par
Par() - Constructor for class elki.evaluation.scores.AUPRCEvaluation.Par
Par() - Constructor for class elki.evaluation.scores.AveragePrecisionEvaluation.Par
Par() - Constructor for class elki.evaluation.scores.DCGEvaluation.Par
Par() - Constructor for class elki.evaluation.scores.MaximumF1Evaluation.Par
Par() - Constructor for class elki.evaluation.scores.NDCGEvaluation.Par
Par() - Constructor for class elki.evaluation.scores.PrecisionAtKEvaluation.Par
Par() - Constructor for class elki.evaluation.scores.PRGCEvaluation.Par
Par() - Constructor for class elki.evaluation.scores.ROCEvaluation.Par
Par() - Constructor for class elki.evaluation.similaritymatrix.ComputeSimilarityMatrixImage.Par
Par() - Constructor for class elki.index.laesa.LAESA.Factory.Par
Par() - Constructor for class elki.index.lsh.hashfamilies.AbstractProjectedHashFunctionFamily.Par
Par() - Constructor for class elki.index.lsh.hashfamilies.CosineHashFunctionFamily.Par
Par() - Constructor for class elki.index.lsh.hashfamilies.EuclideanHashFunctionFamily.Par
Par() - Constructor for class elki.index.lsh.hashfamilies.ManhattanHashFunctionFamily.Par
Par() - Constructor for class elki.index.lsh.InMemoryLSHIndex.Par
Par() - Constructor for class elki.index.PagedIndexFactory.Par
Par() - Constructor for class elki.index.preprocessed.fastoptics.RandomProjectedNeighborsAndDensities.Par
Par() - Constructor for class elki.index.preprocessed.knn.CachedDoubleDistanceKNNPreprocessor.Factory.Par
Par() - Constructor for class elki.index.preprocessed.knn.MaterializeKNNAndRKNNPreprocessor.Factory.Par
Par() - Constructor for class elki.index.preprocessed.knn.MaterializeKNNPreprocessor.Factory.Par
Par() - Constructor for class elki.index.preprocessed.knn.MetricalIndexApproximationMaterializeKNNPreprocessor.Factory.Par
Par() - Constructor for class elki.index.preprocessed.knn.NaiveProjectedKNNPreprocessor.Factory.Par
Par() - Constructor for class elki.index.preprocessed.knn.PartitionApproximationMaterializeKNNPreprocessor.Factory.Par
Par() - Constructor for class elki.index.preprocessed.knn.SpacefillingKNNPreprocessor.Factory.Par
Par() - Constructor for class elki.index.preprocessed.knn.SpatialApproximationMaterializeKNNPreprocessor.Factory.Par
Par() - Constructor for class elki.index.preprocessed.snn.SharedNearestNeighborPreprocessor.Factory.Par
Par() - Constructor for class elki.index.tree.betula.CFTree.Factory.Par
Par() - Constructor for class elki.index.tree.betula.distance.AverageInterclusterDistance.Par
Par() - Constructor for class elki.index.tree.betula.distance.AverageIntraclusterDistance.Par
Par() - Constructor for class elki.index.tree.betula.distance.BIRCHAverageInterclusterDistance.Par
Par() - Constructor for class elki.index.tree.betula.distance.BIRCHAverageIntraclusterDistance.Par
Par() - Constructor for class elki.index.tree.betula.distance.BIRCHRadiusDistance.Par
Par() - Constructor for class elki.index.tree.betula.distance.BIRCHVarianceIncreaseDistance.Par
Par() - Constructor for class elki.index.tree.betula.distance.CentroidEuclideanDistance.Par
Par() - Constructor for class elki.index.tree.betula.distance.CentroidManhattanDistance.Par
Par() - Constructor for class elki.index.tree.betula.distance.RadiusDistance.Par
Par() - Constructor for class elki.index.tree.betula.distance.VarianceIncreaseDistance.Par
Par() - Constructor for class elki.index.tree.betula.features.BIRCHCF.Factory.Par
Par() - Constructor for class elki.index.tree.betula.features.VIIFeature.Factory.Par
Par() - Constructor for class elki.index.tree.betula.features.VVIFeature.Factory.Par
Par() - Constructor for class elki.index.tree.betula.features.VVVFeature.Factory.Par
Par() - Constructor for class elki.index.tree.metrical.covertree.AbstractCoverTree.Factory.Par
Par() - Constructor for class elki.index.tree.metrical.covertree.CoverTree.Factory.Par
Par() - Constructor for class elki.index.tree.metrical.covertree.SimplifiedCoverTree.Factory.Par
Par() - Constructor for class elki.index.tree.metrical.mtreevariants.AbstractMTreeFactory.Par
Par() - Constructor for class elki.index.tree.metrical.mtreevariants.mktrees.AbstractMkTreeUnifiedFactory.Par
Par() - Constructor for class elki.index.tree.metrical.mtreevariants.mktrees.mktab.MkTabTreeFactory.Par
Par() - Constructor for class elki.index.tree.metrical.vptree.GNAT.Factory.Par
Par() - Constructor for class elki.index.tree.metrical.vptree.VPTree.Factory.Par
Par() - Constructor for class elki.index.tree.spatial.kd.MemoryKDTree.Factory.Par
Par() - Constructor for class elki.index.tree.spatial.kd.MinimalisticMemoryKDTree.Factory.Par
Par() - Constructor for class elki.index.tree.spatial.kd.SmallMemoryKDTree.Factory.Par
Par() - Constructor for class elki.index.tree.spatial.kd.split.BoundedMidpointSplit.Par
Par() - Constructor for class elki.index.tree.spatial.kd.split.LeastOneDimSSQSplit.Par
Par() - Constructor for class elki.index.tree.spatial.kd.split.LeastSSQSplit.Par
Par() - Constructor for class elki.index.tree.spatial.kd.split.MeanVarianceSplit.Par
Par() - Constructor for class elki.index.tree.spatial.kd.split.MedianSplit.Par
Par() - Constructor for class elki.index.tree.spatial.kd.split.MedianVarianceSplit.Par
Par() - Constructor for class elki.index.tree.spatial.kd.split.MidpointSplit.Par
Par() - Constructor for class elki.index.tree.spatial.rstarvariants.deliclu.DeLiCluTreeFactory.Par
Par() - Constructor for class elki.index.tree.spatial.rstarvariants.flat.FlatRStarTreeFactory.Par
Par() - Constructor for class elki.index.tree.spatial.rstarvariants.rdknn.RdKNNTreeFactory.Par
Par() - Constructor for class elki.index.tree.spatial.rstarvariants.strategies.bulk.AdaptiveSortTileRecursiveBulkSplit.Par
Par() - Constructor for class elki.index.tree.spatial.rstarvariants.strategies.bulk.FileOrderBulkSplit.Par
Par() - Constructor for class elki.index.tree.spatial.rstarvariants.strategies.bulk.MaxExtensionBulkSplit.Par
Par() - Constructor for class elki.index.tree.spatial.rstarvariants.strategies.bulk.MaxExtensionSortTileRecursiveBulkSplit.Par
Par() - Constructor for class elki.index.tree.spatial.rstarvariants.strategies.bulk.OneDimSortBulkSplit.Par
Par() - Constructor for class elki.index.tree.spatial.rstarvariants.strategies.bulk.SortTileRecursiveBulkSplit.Par
Par() - Constructor for class elki.index.tree.spatial.rstarvariants.strategies.bulk.SpatialSortBulkSplit.Par
Par() - Constructor for class elki.index.tree.spatial.rstarvariants.strategies.insert.ApproximativeLeastOverlapInsertionStrategy.Par
Par() - Constructor for class elki.index.tree.spatial.rstarvariants.strategies.insert.CombinedInsertionStrategy.Par
Par() - Constructor for class elki.index.tree.spatial.rstarvariants.strategies.insert.LeastEnlargementInsertionStrategy.Par
Par() - Constructor for class elki.index.tree.spatial.rstarvariants.strategies.insert.LeastEnlargementWithAreaInsertionStrategy.Par
Par() - Constructor for class elki.index.tree.spatial.rstarvariants.strategies.insert.LeastOverlapInsertionStrategy.Par
Par() - Constructor for class elki.index.tree.spatial.rstarvariants.strategies.overflow.LimitedReinsertOverflowTreatment.Par
Par() - Constructor for class elki.index.tree.spatial.rstarvariants.strategies.overflow.SplitOnlyOverflowTreatment.Par
Par() - Constructor for class elki.index.tree.spatial.rstarvariants.strategies.reinsert.AbstractPartialReinsert.Par
Par() - Constructor for class elki.index.tree.spatial.rstarvariants.strategies.reinsert.CloseReinsert.Par
Par() - Constructor for class elki.index.tree.spatial.rstarvariants.strategies.reinsert.FarReinsert.Par
Par() - Constructor for class elki.index.tree.spatial.rstarvariants.strategies.split.AngTanLinearSplit.Par
Par() - Constructor for class elki.index.tree.spatial.rstarvariants.strategies.split.GreeneSplit.Par
Par() - Constructor for class elki.index.tree.spatial.rstarvariants.strategies.split.RTreeLinearSplit.Par
Par() - Constructor for class elki.index.tree.spatial.rstarvariants.strategies.split.RTreeQuadraticSplit.Par
Par() - Constructor for class elki.index.tree.spatial.rstarvariants.strategies.split.TopologicalSplitter.Par
Par() - Constructor for class elki.index.vafile.PartialVAFile.Factory.Par
Par() - Constructor for class elki.index.vafile.VAFile.Factory.Par
Par() - Constructor for class elki.itemsetmining.AbstractFrequentItemsetAlgorithm.Par
Par() - Constructor for class elki.itemsetmining.APRIORI.Par
Par() - Constructor for class elki.itemsetmining.associationrules.AssociationRuleGeneration.Par
Par() - Constructor for class elki.itemsetmining.Eclat.Par
Par() - Constructor for class elki.itemsetmining.FPGrowth.Par
Par() - Constructor for class elki.KDDTask.Par
Par() - Constructor for class elki.math.geodesy.Clarke1858SpheroidEarthModel.Par
Par() - Constructor for class elki.math.geodesy.Clarke1880SpheroidEarthModel.Par
Par() - Constructor for class elki.math.geodesy.GRS67SpheroidEarthModel.Par
Par() - Constructor for class elki.math.geodesy.GRS80SpheroidEarthModel.Par
Par() - Constructor for class elki.math.geodesy.SphericalCosineEarthModel.Par
Par() - Constructor for class elki.math.geodesy.SphericalHaversineEarthModel.Par
Par() - Constructor for class elki.math.geodesy.SphericalVincentyEarthModel.Par
Par() - Constructor for class elki.math.geodesy.WGS72SpheroidEarthModel.Par
Par() - Constructor for class elki.math.geodesy.WGS84SpheroidEarthModel.Par
Par() - Constructor for class elki.math.linearalgebra.pca.AutotuningPCA.Par
Par() - Constructor for class elki.math.linearalgebra.pca.filter.DropEigenPairFilter.Par
Par() - Constructor for class elki.math.linearalgebra.pca.filter.FirstNEigenPairFilter.Par
Par() - Constructor for class elki.math.linearalgebra.pca.filter.LimitEigenPairFilter.Par
Par() - Constructor for class elki.math.linearalgebra.pca.filter.PercentageEigenPairFilter.Par
Par() - Constructor for class elki.math.linearalgebra.pca.filter.ProgressiveEigenPairFilter.Par
Par() - Constructor for class elki.math.linearalgebra.pca.filter.RelativeEigenPairFilter.Par
Par() - Constructor for class elki.math.linearalgebra.pca.filter.SignificantEigenPairFilter.Par
Par() - Constructor for class elki.math.linearalgebra.pca.filter.WeakEigenPairFilter.Par
Par() - Constructor for class elki.math.linearalgebra.pca.PCARunner.Par
Par() - Constructor for class elki.math.linearalgebra.pca.RANSACCovarianceMatrixBuilder.Par
Par() - Constructor for class elki.math.linearalgebra.pca.WeightedCovarianceMatrixBuilder.Par
Par() - Constructor for class elki.math.spacefillingcurves.BinarySplitSpatialSorter.Par
Par() - Constructor for class elki.math.spacefillingcurves.HilbertSpatialSorter.Par
Par() - Constructor for class elki.math.spacefillingcurves.PeanoSpatialSorter.Par
Par() - Constructor for class elki.math.spacefillingcurves.ZCurveSpatialSorter.Par
Par() - Constructor for class elki.math.statistics.dependence.DCor.Par
Par() - Constructor for class elki.math.statistics.dependence.HiCSDependence.Par
Par() - Constructor for class elki.math.statistics.dependence.HoeffdingsD.Par
Par() - Constructor for class elki.math.statistics.dependence.HoughSpaceMeasure.Par
Par() - Constructor for class elki.math.statistics.dependence.JensenShannonEquiwidthDependence.Par
Par() - Constructor for class elki.math.statistics.dependence.MaximumConditionalEntropy.Par
Par() - Constructor for class elki.math.statistics.dependence.mcde.MWPTest.Par
Par() - Constructor for class elki.math.statistics.dependence.MCDEDependence.Par
Par() - Constructor for class elki.math.statistics.dependence.MutualInformationEquiwidthDependence.Par
Par() - Constructor for class elki.math.statistics.dependence.PearsonCorrelationDependence.Par
Par() - Constructor for class elki.math.statistics.dependence.SlopeDependence.Par
Par() - Constructor for class elki.math.statistics.dependence.SlopeInversionDependence.Par
Par() - Constructor for class elki.math.statistics.dependence.SpearmanCorrelationDependence.Par
Par() - Constructor for class elki.math.statistics.dependence.SURFINGDependence.Par
Par() - Constructor for class elki.math.statistics.distribution.BetaDistribution.Par
Par() - Constructor for class elki.math.statistics.distribution.CauchyDistribution.Par
Par() - Constructor for class elki.math.statistics.distribution.ChiDistribution.Par
Par() - Constructor for class elki.math.statistics.distribution.ChiSquaredDistribution.Par
Par() - Constructor for class elki.math.statistics.distribution.ConstantDistribution.Par
Par() - Constructor for class elki.math.statistics.distribution.estimator.CauchyMADEstimator.Par
Par() - Constructor for class elki.math.statistics.distribution.estimator.EMGOlivierNorbergEstimator.Par
Par() - Constructor for class elki.math.statistics.distribution.estimator.ExpGammaExpMOMEstimator.Par
Par() - Constructor for class elki.math.statistics.distribution.estimator.ExponentialLMMEstimator.Par
Par() - Constructor for class elki.math.statistics.distribution.estimator.ExponentialMADEstimator.Par
Par() - Constructor for class elki.math.statistics.distribution.estimator.ExponentialMedianEstimator.Par
Par() - Constructor for class elki.math.statistics.distribution.estimator.ExponentialMOMEstimator.Par
Par() - Constructor for class elki.math.statistics.distribution.estimator.GammaChoiWetteEstimator.Par
Par() - Constructor for class elki.math.statistics.distribution.estimator.GammaLMMEstimator.Par
Par() - Constructor for class elki.math.statistics.distribution.estimator.GammaMOMEstimator.Par
Par() - Constructor for class elki.math.statistics.distribution.estimator.GeneralizedExtremeValueLMMEstimator.Par
Par() - Constructor for class elki.math.statistics.distribution.estimator.GeneralizedLogisticAlternateLMMEstimator.Par
Par() - Constructor for class elki.math.statistics.distribution.estimator.GeneralizedParetoLMMEstimator.Par
Par() - Constructor for class elki.math.statistics.distribution.estimator.GumbelLMMEstimator.Par
Par() - Constructor for class elki.math.statistics.distribution.estimator.GumbelMADEstimator.Par
Par() - Constructor for class elki.math.statistics.distribution.estimator.InverseGaussianMLEstimator.Par
Par() - Constructor for class elki.math.statistics.distribution.estimator.InverseGaussianMOMEstimator.Par
Par() - Constructor for class elki.math.statistics.distribution.estimator.LaplaceLMMEstimator.Par
Par() - Constructor for class elki.math.statistics.distribution.estimator.LaplaceMADEstimator.Par
Par() - Constructor for class elki.math.statistics.distribution.estimator.LaplaceMLEEstimator.Par
Par() - Constructor for class elki.math.statistics.distribution.estimator.LogGammaLogMOMEstimator.Par
Par() - Constructor for class elki.math.statistics.distribution.estimator.LogisticLMMEstimator.Par
Par() - Constructor for class elki.math.statistics.distribution.estimator.LogisticMADEstimator.Par
Par() - Constructor for class elki.math.statistics.distribution.estimator.LogLogisticMADEstimator.Par
Par() - Constructor for class elki.math.statistics.distribution.estimator.LogNormalBilkovaLMMEstimator.Par
Par() - Constructor for class elki.math.statistics.distribution.estimator.LogNormalLevenbergMarquardtKDEEstimator.Par
Par() - Constructor for class elki.math.statistics.distribution.estimator.LogNormalLMMEstimator.Par
Par() - Constructor for class elki.math.statistics.distribution.estimator.LogNormalLogMADEstimator.Par
Par() - Constructor for class elki.math.statistics.distribution.estimator.LogNormalLogMOMEstimator.Par
Par() - Constructor for class elki.math.statistics.distribution.estimator.meta.BestFitEstimator.Par
Par() - Constructor for class elki.math.statistics.distribution.estimator.NormalLevenbergMarquardtKDEEstimator.Par
Par() - Constructor for class elki.math.statistics.distribution.estimator.NormalLMMEstimator.Par
Par() - Constructor for class elki.math.statistics.distribution.estimator.NormalMADEstimator.Par
Par() - Constructor for class elki.math.statistics.distribution.estimator.NormalMOMEstimator.Par
Par() - Constructor for class elki.math.statistics.distribution.estimator.RayleighLMMEstimator.Par
Par() - Constructor for class elki.math.statistics.distribution.estimator.RayleighMADEstimator.Par
Par() - Constructor for class elki.math.statistics.distribution.estimator.RayleighMLEEstimator.Par
Par() - Constructor for class elki.math.statistics.distribution.estimator.SkewGNormalLMMEstimator.Par
Par() - Constructor for class elki.math.statistics.distribution.estimator.UniformEnhancedMinMaxEstimator.Par
Par() - Constructor for class elki.math.statistics.distribution.estimator.UniformLMMEstimator.Par
Par() - Constructor for class elki.math.statistics.distribution.estimator.UniformMADEstimator.Par
Par() - Constructor for class elki.math.statistics.distribution.estimator.UniformMinMaxEstimator.Par
Par() - Constructor for class elki.math.statistics.distribution.estimator.WeibullLMMEstimator.Par
Par() - Constructor for class elki.math.statistics.distribution.estimator.WeibullLogMADEstimator.Par
Par() - Constructor for class elki.math.statistics.distribution.ExpGammaDistribution.Par
Par() - Constructor for class elki.math.statistics.distribution.ExponentialDistribution.Par
Par() - Constructor for class elki.math.statistics.distribution.ExponentiallyModifiedGaussianDistribution.Par
Par() - Constructor for class elki.math.statistics.distribution.GammaDistribution.Par
Par() - Constructor for class elki.math.statistics.distribution.GeneralizedExtremeValueDistribution.Par
Par() - Constructor for class elki.math.statistics.distribution.GeneralizedLogisticAlternateDistribution.Par
Par() - Constructor for class elki.math.statistics.distribution.GeneralizedLogisticDistribution.Par
Par() - Constructor for class elki.math.statistics.distribution.GeneralizedParetoDistribution.Par
Par() - Constructor for class elki.math.statistics.distribution.GumbelDistribution.Par
Par() - Constructor for class elki.math.statistics.distribution.HaltonUniformDistribution.Par
Par() - Constructor for class elki.math.statistics.distribution.InverseGaussianDistribution.Par
Par() - Constructor for class elki.math.statistics.distribution.KappaDistribution.Par
Par() - Constructor for class elki.math.statistics.distribution.LaplaceDistribution.Par
Par() - Constructor for class elki.math.statistics.distribution.LogGammaDistribution.Par
Par() - Constructor for class elki.math.statistics.distribution.LogisticDistribution.Par
Par() - Constructor for class elki.math.statistics.distribution.LogLogisticDistribution.Par
Par() - Constructor for class elki.math.statistics.distribution.LogNormalDistribution.Par
Par() - Constructor for class elki.math.statistics.distribution.NormalDistribution.Par
Par() - Constructor for class elki.math.statistics.distribution.PoissonDistribution.Par
Par() - Constructor for class elki.math.statistics.distribution.RayleighDistribution.Par
Par() - Constructor for class elki.math.statistics.distribution.SkewGeneralizedNormalDistribution.Par
Par() - Constructor for class elki.math.statistics.distribution.StudentsTDistribution.Par
Par() - Constructor for class elki.math.statistics.distribution.UniformDistribution.Par
Par() - Constructor for class elki.math.statistics.distribution.WeibullDistribution.Par
Par() - Constructor for class elki.math.statistics.intrinsicdimensionality.ABIDEstimator.Par
Par() - Constructor for class elki.math.statistics.intrinsicdimensionality.AggregatedHillEstimator.Par
Par() - Constructor for class elki.math.statistics.intrinsicdimensionality.ALIDEstimator.Par
Par() - Constructor for class elki.math.statistics.intrinsicdimensionality.GEDEstimator.Par
Par() - Constructor for class elki.math.statistics.intrinsicdimensionality.HillEstimator.Par
Par() - Constructor for class elki.math.statistics.intrinsicdimensionality.LMomentsEstimator.Par
Par() - Constructor for class elki.math.statistics.intrinsicdimensionality.LPCAEstimator.Par
Par() - Constructor for class elki.math.statistics.intrinsicdimensionality.MOMEstimator.Par
Par() - Constructor for class elki.math.statistics.intrinsicdimensionality.PWM2Estimator.Par
Par() - Constructor for class elki.math.statistics.intrinsicdimensionality.PWMEstimator.Par
Par() - Constructor for class elki.math.statistics.intrinsicdimensionality.RABIDEstimator.Par
Par() - Constructor for class elki.math.statistics.intrinsicdimensionality.RVEstimator.Par
Par() - Constructor for class elki.math.statistics.intrinsicdimensionality.TightLIDEstimator.Par
Par() - Constructor for class elki.math.statistics.intrinsicdimensionality.ZipfEstimator.Par
Par() - Constructor for class elki.math.statistics.kernelfunctions.BiweightKernelDensityFunction.Par
Par() - Constructor for class elki.math.statistics.kernelfunctions.CosineKernelDensityFunction.Par
Par() - Constructor for class elki.math.statistics.kernelfunctions.EpanechnikovKernelDensityFunction.Par
Par() - Constructor for class elki.math.statistics.kernelfunctions.GaussianKernelDensityFunction.Par
Par() - Constructor for class elki.math.statistics.kernelfunctions.TriangularKernelDensityFunction.Par
Par() - Constructor for class elki.math.statistics.kernelfunctions.TricubeKernelDensityFunction.Par
Par() - Constructor for class elki.math.statistics.kernelfunctions.TriweightKernelDensityFunction.Par
Par() - Constructor for class elki.math.statistics.kernelfunctions.UniformKernelDensityFunction.Par
Par() - Constructor for class elki.math.statistics.tests.KolmogorovSmirnovTest.Par
Par() - Constructor for class elki.math.statistics.tests.WelchTTest.Par
Par() - Constructor for class elki.outlier.anglebased.ABOD.Par
Par() - Constructor for class elki.outlier.anglebased.FastABOD.Par
Par() - Constructor for class elki.outlier.anglebased.LBABOD.Par
Par() - Constructor for class elki.outlier.clustering.DBSCANOutlierDetection.Par
Par() - Constructor for class elki.outlier.clustering.EMOutlier.Par
Par() - Constructor for class elki.outlier.clustering.GLOSH.Par
Par() - Constructor for class elki.outlier.clustering.KMeansMinusMinusOutlierDetection.Par
Par() - Constructor for class elki.outlier.clustering.NoiseAsOutliers.Par
Par() - Constructor for class elki.outlier.COP.Par
Par() - Constructor for class elki.outlier.density.IsolationForest.Par
Par() - Constructor for class elki.outlier.distance.AbstractDBOutlier.Par
Par() - Constructor for class elki.outlier.distance.DBOutlierDetection.Par
Par() - Constructor for class elki.outlier.distance.DBOutlierScore.Par
Par() - Constructor for class elki.outlier.distance.KNNDD.Par
Par() - Constructor for class elki.outlier.distance.KNNOutlier.Par
Par() - Constructor for class elki.outlier.distance.KNNWeightOutlier.Par
Par() - Constructor for class elki.outlier.distance.LocalIsolationCoefficient.Par
Par() - Constructor for class elki.outlier.distance.ReferenceBasedOutlierDetection.Par
Par() - Constructor for class elki.outlier.GaussianModel.Par
Par() - Constructor for class elki.outlier.GaussianUniformMixture.Par
Par() - Constructor for class elki.outlier.intrinsic.IDOS.Par
Par() - Constructor for class elki.outlier.intrinsic.LID.Par
Par() - Constructor for class elki.outlier.lof.ALOCI.Par
Par() - Constructor for class elki.outlier.lof.FlexibleLOF.Par
Par() - Constructor for class elki.outlier.lof.INFLO.Par
Par() - Constructor for class elki.outlier.lof.LDOF.Par
Par() - Constructor for class elki.outlier.lof.OnlineLOF.Par
Par() - Constructor for class elki.outlier.meta.ExternalDoubleOutlierScore.Par
Par() - Constructor for class elki.outlier.meta.FeatureBagging.Par
Par() - Constructor for class elki.outlier.meta.RescaleMetaOutlierAlgorithm.Par
Par() - Constructor for class elki.outlier.meta.SimpleOutlierEnsemble.Par
Par() - Constructor for class elki.outlier.OPTICSOF.Par
Par() - Constructor for class elki.outlier.SimpleCOP.Par
Par() - Constructor for class elki.outlier.spatial.neighborhood.ExtendedNeighborhood.Factory.Par
Par() - Constructor for class elki.outlier.spatial.neighborhood.ExternalNeighborhood.Factory.Par
Par() - Constructor for class elki.outlier.spatial.neighborhood.weighted.LinearWeightedExtendedNeighborhood.Factory.Par
Par() - Constructor for class elki.outlier.subspace.AbstractAggarwalYuOutlier.Par
Par() - Constructor for class elki.outlier.subspace.AggarwalYuEvolutionary.Par
Par() - Constructor for class elki.outlier.subspace.AggarwalYuNaive.Par
Par() - Constructor for class elki.outlier.subspace.OutRankS1.Par
Par() - Constructor for class elki.outlier.subspace.OUTRES.Par
Par() - Constructor for class elki.outlier.subspace.SOD.Par
Par() - Constructor for class elki.outlier.trivial.ByLabelOutlier.Par
Par() - Constructor for class elki.outlier.trivial.TrivialGeneratedOutlier.Par
Par() - Constructor for class elki.persistent.LRUCachePageFileFactory.Par
Par() - Constructor for class elki.persistent.MemoryPageFileFactory.Par
Par() - Constructor for class elki.projection.GaussianAffinityMatrixBuilder.Par
Par() - Constructor for class elki.projection.IntrinsicNearestNeighborAffinityMatrixBuilder.Par
Par() - Constructor for class elki.projection.NearestNeighborAffinityMatrixBuilder.Par
Par() - Constructor for class elki.projection.PerplexityAffinityMatrixBuilder.Par
Par() - Constructor for class elki.result.AutomaticVisualization.Par
Par() - Constructor for class elki.result.ClusteringVectorDumper.Par
Par() - Constructor for class elki.result.ExportVisualizations.Par
Par() - Constructor for class elki.result.KMLOutputHandler.Par
Par() - Constructor for class elki.result.ResultWriter.Par
Par() - Constructor for class elki.similarity.AbstractIndexBasedSimilarity.Par
Par() - Constructor for class elki.similarity.cluster.ClusteringAdjustedRandIndexSimilarity.Par
Par() - Constructor for class elki.similarity.cluster.ClusteringBCubedF1Similarity.Par
Par() - Constructor for class elki.similarity.cluster.ClusteringFowlkesMallowsSimilarity.Par
Par() - Constructor for class elki.similarity.cluster.ClusteringRandIndexSimilarity.Par
Par() - Constructor for class elki.similarity.cluster.ClusterIntersectionSimilarity.Par
Par() - Constructor for class elki.similarity.cluster.ClusterJaccardSimilarity.Par
Par() - Constructor for class elki.similarity.kernel.LaplaceKernel.Par
Par() - Constructor for class elki.similarity.kernel.LinearKernel.Par
Par() - Constructor for class elki.similarity.kernel.PolynomialKernel.Par
Par() - Constructor for class elki.similarity.kernel.RadialBasisFunctionKernel.Par
Par() - Constructor for class elki.similarity.kernel.RationalQuadraticKernel.Par
Par() - Constructor for class elki.similarity.kernel.SigmoidKernel.Par
Par() - Constructor for class elki.similarity.Kulczynski1Similarity.Par
Par() - Constructor for class elki.similarity.Kulczynski2Similarity.Par
Par() - Constructor for class elki.timeseries.OfflineChangePointDetectionAlgorithm.Par
Par() - Constructor for class elki.timeseries.SigniTrendChangeDetection.Par
Par() - Constructor for class elki.utilities.ensemble.EnsembleVotingInverseMultiplicative.Par
Par() - Constructor for class elki.utilities.ensemble.EnsembleVotingMedian.Par
Par() - Constructor for class elki.utilities.ensemble.EnsembleVotingMultiplicative.Par
Par() - Constructor for class elki.utilities.referencepoints.AxisBasedReferencePoints.Par
Par() - Constructor for class elki.utilities.referencepoints.GridBasedReferencePoints.Par
Par() - Constructor for class elki.utilities.referencepoints.RandomGeneratedReferencePoints.Par
Par() - Constructor for class elki.utilities.referencepoints.RandomSampleReferencePoints.Par
Par() - Constructor for class elki.utilities.referencepoints.StarBasedReferencePoints.Par
Par() - Constructor for class elki.utilities.scaling.ClipScaling.Par
Par() - Constructor for class elki.utilities.scaling.GammaScaling.Par
Par() - Constructor for class elki.utilities.scaling.outlier.COPOutlierScaling.Par
Par() - Constructor for class elki.utilities.scaling.outlier.MinusLogGammaScaling.Par
Par() - Constructor for class elki.utilities.scaling.outlier.MinusLogStandardDeviationScaling.Par
Par() - Constructor for class elki.utilities.scaling.outlier.OutlierGammaScaling.Par
Par() - Constructor for class elki.utilities.scaling.outlier.OutlierLinearScaling.Par
Par() - Constructor for class elki.utilities.scaling.outlier.OutlierSqrtScaling.Par
Par() - Constructor for class elki.utilities.scaling.outlier.SqrtStandardDeviationScaling.Par
Par() - Constructor for class elki.utilities.scaling.outlier.StandardDeviationScaling.Par
Par() - Constructor for class elki.utilities.scaling.outlier.TopKOutlierScaling.Par
Par() - Constructor for class elki.visualization.parallel3d.layout.AbstractLayout3DPC.Par
Par() - Constructor for class elki.visualization.parallel3d.layout.CompactCircularMSTLayout3DPC.Par
Par() - Constructor for class elki.visualization.parallel3d.layout.MultidimensionalScalingMSTLayout3DPC.Par
Par() - Constructor for class elki.visualization.parallel3d.layout.SimpleCircularMSTLayout3DPC.Par
Par() - Constructor for class elki.visualization.projector.HistogramFactory.Par
Par() - Constructor for class elki.visualization.projector.ScatterPlotFactory.Par
Par() - Constructor for class elki.visualization.VisualizerParameterizer.Par
Par() - Constructor for class elki.visualization.visualizers.histogram.ColoredHistogramVisualizer.Par
Par() - Constructor for class elki.visualization.visualizers.parallel.cluster.ClusterOutlineVisualization.Par
Par() - Constructor for class elki.visualization.visualizers.parallel.index.RTreeParallelVisualization.Par
Par() - Constructor for class elki.visualization.visualizers.scatterplot.cluster.ClusterAlphaHullVisualization.Par
Par() - Constructor for class elki.visualization.visualizers.scatterplot.cluster.ClusterConvexHullVisualization.Par
Par() - Constructor for class elki.visualization.visualizers.scatterplot.cluster.VoronoiVisualization.Par
Par() - Constructor for class elki.visualization.visualizers.scatterplot.index.TreeMBRVisualization.Par
Par() - Constructor for class elki.visualization.visualizers.scatterplot.index.TreeSphereVisualization.Par
Par() - Constructor for class elki.visualization.visualizers.scatterplot.outlier.BubbleVisualization.Par
Par() - Constructor for class elki.visualization.visualizers.scatterplot.selection.SelectionCubeVisualization.Par
Par() - Constructor for class elki.visualization.visualizers.scatterplot.TooltipScoreVisualization.Par
Par() - Constructor for class elki.visualization.visualizers.visunproj.DendrogramVisualization.Par
Par() - Constructor for class elki.workflow.AlgorithmStep.Par
Par() - Constructor for class elki.workflow.EvaluationStep.Par
Par() - Constructor for class elki.workflow.InputStep.Par
Par() - Constructor for class elki.workflow.LoggingStep.Par
Par() - Constructor for class elki.workflow.OutputStep.Par
Par() - Constructor for class tutorial.clustering.CFSFDP.Par
Par() - Constructor for class tutorial.clustering.SameSizeKMeans.Par
Par() - Constructor for class tutorial.distancefunction.MultiLPNorm.Par
Parallel3DRenderer<O extends NumberVector> - Class in elki.visualization.parallel3d: Renderer for 3D parallel plots.
Parallel3DRenderer(OpenGL3DParallelCoordinates.Instance.Shared<O>) - Constructor for class elki.visualization.parallel3d.Parallel3DRenderer: Constructor.
ParallelAxisVisualization - Class in elki.visualization.visualizers.parallel: Generates a SVG-Element containing axes, including labeling.
ParallelAxisVisualization() - Constructor for class elki.visualization.visualizers.parallel.ParallelAxisVisualization: Constructor.
ParallelAxisVisualization.Instance - Class in elki.visualization.visualizers.parallel: Instance.
ParallelCore - Class in elki.parallel: Core for parallel processing in ELKI, based on ThreadPoolExecutor.
ParallelCore(int) - Constructor for class elki.parallel.ParallelCore: Constructor.
ParallelExecutor - Class in elki.parallel: Class to run processors in parallel, on all available cores.
ParallelExecutor() - Constructor for class elki.parallel.ParallelExecutor: Private constructor.
ParallelExecutor.BlockArrayRunner - Class in elki.parallel: Run for an array part, without step size.
ParallelGeneralizedDBSCAN - Class in elki.clustering.dbscan.parallel: Parallel version of DBSCAN clustering.
ParallelGeneralizedDBSCAN(NeighborPredicate<?>, CorePredicate<?>, boolean) - Constructor for class elki.clustering.dbscan.parallel.ParallelGeneralizedDBSCAN: Constructor for parameterized algorithm.
ParallelGeneralizedDBSCAN.Instance<T> - Class in elki.clustering.dbscan.parallel: Instance for a particular data set.
ParallelGeneralizedDBSCAN.Instance.Mapper - Class in elki.clustering.dbscan.parallel: Instance to process part of the data set, for a single iteration.
ParallelGeneralizedDBSCAN.Par - Class in elki.clustering.dbscan.parallel: Parameterization class
ParallelKNNOutlier<O> - Class in elki.outlier.distance.parallel: Parallel implementation of KNN Outlier detection.
ParallelKNNOutlier(Distance<? super O>, int) - Constructor for class elki.outlier.distance.parallel.ParallelKNNOutlier: Constructor.
ParallelKNNWeightOutlier<O> - Class in elki.outlier.distance.parallel: Parallel implementation of KNN Weight Outlier detection.
ParallelKNNWeightOutlier(Distance<? super O>, int) - Constructor for class elki.outlier.distance.parallel.ParallelKNNWeightOutlier: Constructor.
ParallelLloydKMeans<V extends NumberVector> - Class in elki.clustering.kmeans.parallel: Parallel implementation of k-Means clustering.
ParallelLloydKMeans(NumberVectorDistance<? super V>, int, int, KMeansInitialization) - Constructor for class elki.clustering.kmeans.parallel.ParallelLloydKMeans: Constructor.
ParallelLOF<O> - Class in elki.outlier.lof.parallel: Parallel implementation of Local Outlier Factor using processors.
ParallelLOF(Distance<? super O>, int) - Constructor for class elki.outlier.lof.parallel.ParallelLOF: Constructor.
ParallelPlotFactory - Class in elki.visualization.projector: Produce parallel axes projections.
ParallelPlotFactory() - Constructor for class elki.visualization.projector.ParallelPlotFactory: Constructor.
ParallelPlotProjector<V extends SpatialComparable> - Class in elki.visualization.projector: ParallelPlotProjector is responsible for producing a parallel axes visualization.
ParallelPlotProjector(Relation<V>) - Constructor for class elki.visualization.projector.ParallelPlotProjector: Constructor.
ParallelSimplifiedLOF<O> - Class in elki.outlier.lof.parallel: Parallel implementation of Simplified-LOF Outlier detection using processors.
ParallelSimplifiedLOF(Distance<? super O>, int) - Constructor for class elki.outlier.lof.parallel.ParallelSimplifiedLOF: Constructor.
param - Variable in class elki.gui.configurator.AbstractParameterConfigurator: The parameter to configure
param - Variable in class elki.gui.util.DynamicParameters.Node
parameter - Variable in class elki.utilities.optionhandling.parameterization.TrackedParameter: Parameter value
parameter - Variable in exception elki.utilities.optionhandling.UnspecifiedParameterException: Parameter that was missing.
Parameter<T> - Interface in elki.utilities.optionhandling.parameters: Interface for the parameter of a class.
ParameterConfigurator - Interface in elki.gui.configurator: Interface for different configuration assistants for the multistep GUI.
ParameterConstraint<T> - Interface in elki.utilities.optionhandling.constraints: Interface for specifying parameter constraints.
ParameterException - Exception in elki.utilities.optionhandling: Abstract super class for all exceptions thrown during parameterization.
ParameterException(Parameter<?>, String) - Constructor for exception elki.utilities.optionhandling.ParameterException: Constructor.
ParameterException(Parameter<?>, String, Throwable) - Constructor for exception elki.utilities.optionhandling.ParameterException: Constructor.
ParameterException(String) - Constructor for exception elki.utilities.optionhandling.ParameterException: Constructor.
ParameterException(String, Throwable) - Constructor for exception elki.utilities.optionhandling.ParameterException: Constructor.
Parameterization - Interface in elki.utilities.optionhandling.parameterization: Interface for object parameterizations.
ParameterizationFunction - Class in elki.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 elki.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 elki.clustering.correlation.cash: Available types for the global extremum.
parameterizeOrAbort(Class<?>, Parameterization) - Static method in class elki.utilities.ClassGenericsUtil: Force parameterization method.
Parameterizer - Interface in elki.utilities.optionhandling: Generic interface for a parameterizable factory.
Parameterizer() - Constructor for class elki.clustering.kmeans.HartiganWongKMeans.Parameterizer
ParameterPair(Object, Object) - Constructor for class elki.utilities.optionhandling.parameterization.ListParameterization.ParameterPair: Constructor.
parameters - Variable in class elki.gui.minigui.MiniGUI: Parameter storage.
parameters - Variable in class elki.gui.util.DynamicParameters: Parameter storage
parameters - Variable in class elki.gui.util.ParametersModel: Parameter storage
parameters - Variable in class elki.gui.util.ParameterTable: The parameters we edit.
parameters - Variable in class elki.utilities.optionhandling.parameterization.ListParameterization: The actual parameters, for storage
parameters - Variable in class elki.utilities.optionhandling.parameterization.SerializedParameterization: Parameter storage
ParametersModel - Class in elki.gui.util: A Swing TableModel that uses a DynamicParameters object as storage.
ParametersModel(DynamicParameters) - Constructor for class elki.gui.util.ParametersModel: Constructor
parameterTable - Variable in class elki.gui.minigui.MiniGUI: The parameter table.
parameterTable - Variable in class elki.gui.multistep.panels.ParameterTabPanel: The parameter table
ParameterTable - Class in elki.gui.util: Class showing a table of ELKI parameters.
ParameterTable(Frame, ParametersModel, DynamicParameters) - Constructor for class elki.gui.util.ParameterTable: Constructor
ParameterTable.AdjustingEditor - Class in 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 elki.gui.util: Editor for choosing classes.
ParameterTable.ColorfulRenderer - Class in elki.gui.util: Renderer for the table that colors the entries according to their bitmask.
ParameterTable.DispatchingPanel - Class in elki.gui.util: This is a panel that will dispatch keystrokes to a particular component.
ParameterTable.DropdownEditor - Class in elki.gui.util: Editor using a Dropdown box to offer known values to choose from.
ParameterTable.FileNameEditor - Class in elki.gui.util: Editor for selecting input and output file and folders names
ParameterTable.Handler - Class in elki.gui.util: Internal key listener.
ParameterTabPanel - Class in elki.gui.multistep.panels: Abstract panel, showing particular options.
ParameterTabPanel() - Constructor for class elki.gui.multistep.panels.ParameterTabPanel: Input pane
ParameterTabPanel.Status - Enum in elki.gui.multistep.panels: Status code enumeration
params - Variable in class elki.math.linearalgebra.fitting.LevenbergMarquardtMethod: Parameters to use in fitting
paramstry - Variable in class elki.math.linearalgebra.fitting.LevenbergMarquardtMethod: More working buffers
parent - Variable in class elki.clustering.hierarchical.ClusterMergeHistoryBuilder: Parent for union-find, may be uninitialized.
parent - Variable in class elki.distance.AbstractDatabaseDistance.Instance: Parent distance
parent - Variable in class elki.distance.AbstractIndexBasedDistance.Instance: Our parent distance function
parent - Variable in class elki.gui.configurator.AbstractParameterConfigurator: The parent container
parent - Variable in class elki.itemsetmining.FPGrowth.FPNode: Parent node and next in sequence.
parent - Variable in class elki.outlier.lof.ALOCI.Node: Parent node
parent - Variable in class elki.utilities.datastructures.unionfind.WeightedQuickUnionInteger: Parent element
parent - Variable in class elki.utilities.datastructures.unionfind.WeightedQuickUnionRangeDBIDs: Parent element
parent - Variable in class elki.utilities.datastructures.unionfind.WeightedQuickUnionStaticDBIDs: Parent element
parent - Variable in class elki.visualization.batikutil.NodeAppendChild: Parent node to append to.
parentDist - Variable in class elki.index.tree.metrical.covertree.CoverTree.Node: Distance to parent.
parentDistance - Variable in class 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 elki.index.tree.metrical.mtreevariants.MTreeLeafEntry: The distance from the underlying data object to its parent's routing object.
parentiter - Variable in class elki.result.Metadata.Hierarchy.ItrAnc: Iterator over children
parentiter - Variable in class elki.utilities.datastructures.hierarchy.HashMapHierarchy.ItrAnc: Iterator over children
parentPath - Variable in class elki.index.tree.IndexTreePath: Path representing the parent, null if lastPathComponent represents the root.
parents - Variable in class elki.result.Metadata.Hierarchy: Parents.
parents - Variable in class elki.utilities.optionhandling.parameterization.TrackParameters: Tree information: parent links
ParkJun<O> - Class in elki.clustering.kmedoids.initialization: Initialization method proposed by Park and Jun.
ParkJun() - Constructor for class elki.clustering.kmedoids.initialization.ParkJun: Constructor.
ParkJun.Par<V> - Class in elki.clustering.kmedoids.initialization: Parameterization class.
parse(InputStream) - Method in class elki.datasource.parser.AbstractStreamingParser
parse(InputStream) - Method in class elki.datasource.parser.ArffParser
parse(InputStream) - Method in interface elki.datasource.parser.Parser: Returns a list of the objects parsed from the specified input stream.
parse(InputStream) - Method in class elki.datasource.parser.StringParser
parse(InputStream, DistanceParser.DistanceCacheWriter) - Method in class elki.distance.external.AsciiDistanceParser
parse(InputStream, DistanceParser.DistanceCacheWriter) - Method in interface elki.distance.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 elki.logging.Logging.Level: Parse a logging level.
parseAttributeStatements(BufferedReader, ArrayList<String>, ArrayList<String>) - Method in class elki.datasource.parser.ArffParser: Parse the "@attribute" section of the ARFF file.
parseDebugParameter(Parameterization) - Static method in class elki.application.AbstractApplication.Par: Parse the standard -debug parameter.
parseDouble(byte[], int, int) - Static method in class elki.utilities.io.ParseUtil: Parse a double from a character sequence.
parseDouble(CharSequence) - Static method in class elki.utilities.io.ParseUtil: Parse a double from a character sequence.
parseDouble(CharSequence, int, int) - Static method in class elki.utilities.io.ParseUtil: Parse a double from a character sequence.
parseIntBase10(CharSequence) - Static method in class elki.utilities.io.ParseUtil: Parse an integer from a character sequence.
parseIntBase10(CharSequence, int, int) - Static method in class elki.utilities.io.ParseUtil: Parse an integer from a character sequence.
parseIntRanges(String) - Static method in class elki.utilities.datastructures.range.ParseIntRanges: Parse integer ranges, in different syntaxes.
ParseIntRanges - Class in elki.utilities.datastructures.range: Parse integer range syntaxes.
ParseIntRanges() - Constructor for class elki.utilities.datastructures.range.ParseIntRanges: Utility class, do not instantiate.
parseLine() - Method in class elki.datasource.parser.SimplePolygonParser: Parse a single line.
parseLine(Class<?>, char[], int, int) - Static method in class elki.utilities.ELKIServiceLoader: Parse a single line from a service registry file.
parseLineInternal() - Method in class elki.datasource.parser.BitVectorLabelParser
parseLineInternal() - Method in class elki.datasource.parser.CategorialDataAsNumberVectorParser
parseLineInternal() - Method in class elki.datasource.parser.LibSVMFormatParser
parseLineInternal() - Method in class elki.datasource.parser.NumberVectorLabelParser: Internal method for parsing a single line.
parseLineInternal() - Method in class elki.datasource.parser.SparseNumberVectorLabelParser
parseLineInternal() - Method in class elki.datasource.parser.TermFrequencyParser
parseLongBase10(CharSequence) - Static method in class elki.utilities.io.ParseUtil: Parse a long integer from a character sequence.
parseLongBase10(CharSequence, int, int) - Static method in class elki.utilities.io.ParseUtil: Parse a long integer from a character sequence.
parser - Variable in class elki.application.greedyensemble.EvaluatePrecomputedOutlierScores.Par: Parser to read input data.
parser - Variable in class elki.application.greedyensemble.EvaluatePrecomputedOutlierScores: Parser to read input data.
parser - Variable in class elki.datasource.AbstractDatabaseConnection.Par: Parser to use
parser - Variable in class elki.datasource.ConcatenateFilesDatabaseConnection: The parser.
parser - Variable in class elki.datasource.InputStreamDatabaseConnection: Holds the instance of the parser.
parser - Variable in class elki.distance.external.FileBasedSparseDoubleDistance.Par: Parser for input file.
parser - Variable in class elki.distance.external.FileBasedSparseDoubleDistance: Distance parser
parser - Variable in class elki.distance.external.FileBasedSparseFloatDistance.Par: Parser for input file.
parser - Variable in class elki.distance.external.FileBasedSparseFloatDistance: Distance parser
Parser - Interface in elki.datasource.parser: A Parser shall provide a ParsingResult by parsing an InputStream.
PARSER_ID - Static variable in class elki.application.greedyensemble.EvaluatePrecomputedOutlierScores.Par: Input parser.
PARSER_ID - Static variable in class elki.datasource.AbstractDatabaseConnection.Par: Parameter to specify the parser to provide a database.
PARSER_ID - Static variable in class elki.distance.external.FileBasedSparseDoubleDistance.Par: Optional parameter to specify the parsers to provide a database, must extend DistanceParser.
PARSER_ID - Static variable in class elki.distance.external.FileBasedSparseFloatDistance.Par: Optional parameter to specify the parsers to provide a database, must extend DistanceParser.
parseURL(String) - Method in class elki.visualization.batikutil.ThumbnailRegistryEntry
parseURL(ParsedURL, String) - Method in class elki.visualization.batikutil.ThumbnailRegistryEntry
ParseUtil - Class in elki.utilities.io: Helper functionality for parsing.
ParseUtil() - Constructor for class elki.utilities.io.ParseUtil: Private constructor.
ParseUtil.PreallocatedException - Exception in elki.utilities.io: Preallocated exception.
parseValue(Object) - Method in class elki.utilities.optionhandling.parameters.AbstractParameter: Parse a given value into the destination type.
parseValue(Object) - Method in class elki.utilities.optionhandling.parameters.ClassListParameter
parseValue(Object) - Method in class elki.utilities.optionhandling.parameters.ClassParameter
parseValue(Object) - Method in class elki.utilities.optionhandling.parameters.DoubleArrayListParameter
parseValue(Object) - Method in class elki.utilities.optionhandling.parameters.DoubleListParameter
parseValue(Object) - Method in class elki.utilities.optionhandling.parameters.DoubleParameter
parseValue(Object) - Method in class elki.utilities.optionhandling.parameters.EnumParameter
parseValue(Object) - Method in class elki.utilities.optionhandling.parameters.FileListParameter
parseValue(Object) - Method in class elki.utilities.optionhandling.parameters.FileParameter
parseValue(Object) - Method in class elki.utilities.optionhandling.parameters.Flag
parseValue(Object) - Method in class elki.utilities.optionhandling.parameters.IntGeneratorParameter
parseValue(Object) - Method in class elki.utilities.optionhandling.parameters.IntListParameter
parseValue(Object) - Method in class elki.utilities.optionhandling.parameters.IntParameter
parseValue(Object) - Method in class elki.utilities.optionhandling.parameters.LongParameter
parseValue(Object) - Method in class elki.utilities.optionhandling.parameters.ObjectListParameter
parseValue(Object) - Method in class elki.utilities.optionhandling.parameters.ObjectParameter
parseValue(Object) - Method in class elki.utilities.optionhandling.parameters.PatternParameter
parseValue(Object) - Method in class elki.utilities.optionhandling.parameters.RandomParameter
parseValue(Object) - Method in class elki.utilities.optionhandling.parameters.StringParameter
parseVector(String) - Method in class elki.datasource.GeneratorXMLDatabaseConnection: Parse a string into a vector.
parseVerbose(Parameterization) - Static method in class elki.application.AbstractApplication.Par: Parse the standard -verbose options.
PartialDistance<O> - Interface in elki.index.tree.spatial.kd: Interface to maintain partial distance bounds.
PartialEuclideanDistance - Class in elki.index.tree.spatial.kd: Partial distance computations for Euclidean distance.
PartialEuclideanDistance() - Constructor for class elki.index.tree.spatial.kd.PartialEuclideanDistance: Deprecated.
PartialItemset(int[]) - Constructor for class elki.itemsetmining.associationrules.AssociationRuleGeneration.PartialItemset: Constructor.
PartialLPNormDistance - Class in elki.index.tree.spatial.kd: Partial distance computations for Euclidean distance.
PartialLPNormDistance(LPNormDistance) - Constructor for class elki.index.tree.spatial.kd.PartialLPNormDistance: Constructor.
PartialManhattanDistance - Class in elki.index.tree.spatial.kd: Partial distance computations for Euclidean distance.
PartialManhattanDistance() - Constructor for class elki.index.tree.spatial.kd.PartialManhattanDistance: Deprecated.
partialSort(int) - Method in class elki.index.distancematrix.PrecomputedDistanceMatrix.PrecomputedDistancePrioritySearcher: Partially sort the data.
PartialSquaredEuclideanDistance - Class in elki.index.tree.spatial.kd: Partial distance computations for squared Euclidean distance.
PartialSquaredEuclideanDistance() - Constructor for class elki.index.tree.spatial.kd.PartialSquaredEuclideanDistance: Deprecated.
PartialVACandidate(VectorApproximation) - Constructor for class elki.index.vafile.PartialVAFile.PartialVACandidate: Constructor.
PartialVAFile<V extends NumberVector> - Class in elki.index.vafile: PartialVAFile.
PartialVAFile(int, Relation<V>, int) - Constructor for class elki.index.vafile.PartialVAFile: Constructor.
PartialVAFile.Factory<V extends NumberVector> - Class in elki.index.vafile: Index factory class.
PartialVAFile.Factory.Par - Class in elki.index.vafile: Parameterization class.
PartialVAFile.PartialVACandidate - Class in elki.index.vafile: Object in a VA approximation.
PartialVAFile.PartialVAFileKNNQuery - Class in elki.index.vafile: KNN query for this index.
PartialVAFile.PartialVAFileRangeQuery - Class in elki.index.vafile: Range query for this index.
PartialVAFile.Statistics - Class in elki.index.vafile: Class for tracking Partial VA file statistics.
PartialVAFile.WorstCaseDistComparator - Class in elki.index.vafile: Compare DAfiles by their worst case distance.
PartialVAFileKNNQuery(DistanceQuery<V>, double, long[]) - Constructor for class elki.index.vafile.PartialVAFile.PartialVAFileKNNQuery: Constructor.
PartialVAFileRangeQuery(DistanceQuery<V>, double, long[]) - Constructor for class elki.index.vafile.PartialVAFile.PartialVAFileRangeQuery: Constructor.
partition(List<? extends O>) - Method in class elki.datasource.filter.transform.AbstractSupervisedProjectionVectorFilter: Partition the bundle based on the class label.
partition(List<N>, int, int) - Method in class 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 elki.index.tree.spatial.rstarvariants.strategies.bulk.AdaptiveSortTileRecursiveBulkSplit
partition(List<T>, int, int) - Method in interface elki.index.tree.spatial.rstarvariants.strategies.bulk.BulkSplit: Partitions the specified feature vectors
partition(List<T>, int, int) - Method in class elki.index.tree.spatial.rstarvariants.strategies.bulk.FileOrderBulkSplit
partition(List<T>, int, int) - Method in class elki.index.tree.spatial.rstarvariants.strategies.bulk.MaxExtensionSortTileRecursiveBulkSplit
partition(List<T>, int, int) - Method in class elki.index.tree.spatial.rstarvariants.strategies.bulk.OneDimSortBulkSplit
partition(List<T>, int, int) - Method in class elki.index.tree.spatial.rstarvariants.strategies.bulk.SortTileRecursiveBulkSplit
partition(List<T>, int, int) - Method in class elki.index.tree.spatial.rstarvariants.strategies.bulk.SpatialSortBulkSplit
PartitionApproximationMaterializeKNNPreprocessor<O> - Class in elki.index.preprocessed.knn: A preprocessor for annotation of the k nearest neighbors (and their distances) to each database object.
PartitionApproximationMaterializeKNNPreprocessor(Relation<O>, Distance<? super O>, int, int, RandomFactory) - Constructor for class elki.index.preprocessed.knn.PartitionApproximationMaterializeKNNPreprocessor: Constructor
PartitionApproximationMaterializeKNNPreprocessor.Factory<O> - Class in elki.index.preprocessed.knn: The parameterizable factory.
PartitionApproximationMaterializeKNNPreprocessor.Factory.Par<O> - Class in elki.index.preprocessed.knn: Parameterization class.
partitionData(Relation<? extends NumberVector>, int) - Method in class elki.clustering.subspace.P3C: Partition the data set into bins bins in each dimension independently.
partitions - Variable in class elki.index.preprocessed.knn.PartitionApproximationMaterializeKNNPreprocessor.Factory.Par: Number of partitions
partitions - Variable in class elki.index.preprocessed.knn.PartitionApproximationMaterializeKNNPreprocessor.Factory: The number of partitions to use
partitions - Variable in class elki.index.preprocessed.knn.PartitionApproximationMaterializeKNNPreprocessor: Number of partitions to use.
partitions - Variable in class elki.index.vafile.PartialVAFile: Number of partitions.
partitions - Variable in class elki.index.vafile.VAFile: Number of partitions.
PARTITIONS_ID - Static variable in class elki.index.preprocessed.knn.PartitionApproximationMaterializeKNNPreprocessor.Factory.Par: Parameter to specify the number of partitions to use for materializing the kNN.
PARTITIONS_ID - Static variable in class elki.index.vafile.PartialVAFile.Factory: Number of partitions to use in each dimension.
PARTITIONS_ID - Static variable in class elki.index.vafile.VAFile.Factory.Par: Number of partitions to use in each dimension.
partitionsFromIntegerLabels(DBIDs, IntegerDataStore, int) - Static method in class elki.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 - Static variable in class elki.visualization.svg.SVGPath: Absolute path arc command.
PATH_ARC_RELATIVE - Static variable in class elki.visualization.svg.SVGPath: Relative path arc command.
PATH_CLOSE - Static variable in class elki.visualization.svg.SVGPath: Close path command.
PATH_CUBIC_TO - Static variable in class elki.visualization.svg.SVGPath: Absolute cubic line to command.
PATH_CUBIC_TO_RELATIVE - Static variable in class elki.visualization.svg.SVGPath: Relative cubic line to command.
PATH_HORIZONTAL_LINE_TO - Static variable in class elki.visualization.svg.SVGPath: Absolute horizontal line to command.
PATH_HORIZONTAL_LINE_TO_RELATIVE - Static variable in class elki.visualization.svg.SVGPath: Relative horizontal line to command.
PATH_LINE_TO - Static variable in class elki.visualization.svg.SVGPath: Absolute line to command.
PATH_LINE_TO_RELATIVE - Static variable in class elki.visualization.svg.SVGPath: Relative line to command.
PATH_MOVE - Static variable in class elki.visualization.svg.SVGPath: Absolute move command.
PATH_MOVE_RELATIVE - Static variable in class elki.visualization.svg.SVGPath: Relative move command.
PATH_QUAD_TO - Static variable in class elki.visualization.svg.SVGPath: Absolute quadratic interpolation to command.
PATH_QUAD_TO_RELATIVE - Static variable in class elki.visualization.svg.SVGPath: Relative quadratic interpolation to command.
PATH_SMOOTH_CUBIC_TO - Static variable in class elki.visualization.svg.SVGPath: Absolute "smooth cubic to" SVG path command.
PATH_SMOOTH_CUBIC_TO_RELATIVE - Static variable in class elki.visualization.svg.SVGPath: Relative smooth cubic to command.
PATH_SMOOTH_QUAD_TO - Static variable in class elki.visualization.svg.SVGPath: Absolute smooth quadratic interpolation to command.
PATH_SMOOTH_QUAD_TO_RELATIVE - Static variable in class elki.visualization.svg.SVGPath: Relative smooth quadratic interpolation to command.
PATH_VERTICAL_LINE_TO - Static variable in class elki.visualization.svg.SVGPath: Absolute vertical line to command.
PATH_VERTICAL_LINE_TO_RELATIVE - Static variable in class elki.visualization.svg.SVGPath: Relative vertical line to command.
pattern - Variable in class elki.application.benchmark.ValidateApproximativeKNNIndex: Filter pattern
pattern - Variable in class elki.datasource.filter.selection.ByLabelFilter.Par: The pattern configured.
pattern - Variable in class elki.datasource.filter.typeconversions.ClassLabelFromPatternFilter.Par: Matching pattern.
pattern - Variable in class elki.datasource.filter.typeconversions.ClassLabelFromPatternFilter: Matching pattern.
pattern - Variable in class elki.outlier.trivial.ByLabelOutlier.Par: Stores the "outlier" class.
pattern - Variable in class elki.outlier.trivial.ByLabelOutlier: The pattern we match with.
PATTERN_ID - Static variable in class elki.datasource.filter.typeconversions.ClassLabelFromPatternFilter.Par: Pattern for recognizing positive objects.
PatternParameter - Class in elki.utilities.optionhandling.parameters: Parameter class for a parameter specifying a pattern.
PatternParameter(OptionID) - Constructor for class elki.utilities.optionhandling.parameters.PatternParameter: Constructs a pattern parameter with the given optionID.
PatternParameter(OptionID, String) - Constructor for class elki.utilities.optionhandling.parameters.PatternParameter: Constructs a pattern parameter with the given optionID, and default value.
PatternParameter(OptionID, Pattern) - Constructor for class elki.utilities.optionhandling.parameters.PatternParameter: Constructs a pattern parameter with the given optionID, and default value.
pbarmap - Variable in class elki.gui.util.LogPanel: Current progress bars
PBMIndex - Class in elki.evaluation.clustering.internal: Compute the PBM index of a clustering
PBMIndex(NumberVectorDistance<?>, NoiseHandling) - Constructor for class elki.evaluation.clustering.internal.PBMIndex: Constructor.
PBMIndex.Par - Class in elki.evaluation.clustering.internal: Parameterization class.
pca - Variable in class elki.algorithm.DependencyDerivator.Par: Class to compute PCA with
pca - Variable in class elki.algorithm.DependencyDerivator: Holds the object performing the pca.
pca - Variable in class elki.clustering.correlation.COPAC.Settings: Class to compute PCA.
pca - Variable in class elki.clustering.correlation.ERiC.Settings: Class to compute PCA.
pca - Variable in class elki.clustering.correlation.HiCO.Par: PCA utility object.
pca - Variable in class elki.clustering.correlation.HiCO: PCA utility object.
pca - Variable in class elki.clustering.correlation.ORCLUS.Par: PCA procedure
pca - Variable in class elki.clustering.correlation.ORCLUS: The PCA utility object.
pca - Variable in class elki.clustering.dbscan.predicates.FourCNeighborPredicate: The Filtered PCA Runner
pca - Variable in class elki.outlier.COP.Par: Holds the object performing the dependency derivation.
pca - Variable in class elki.outlier.COP: Holds the PCA runner.
pca - Variable in class elki.outlier.SimpleCOP.Par: Holds the object performing the dependency derivation
PCA_COVARIANCE_MATRIX - Static variable in class elki.math.linearalgebra.pca.PCARunner.Par: Parameter to specify the class to compute the covariance matrix, must be a subclass of CovarianceMatrixBuilder.
PCA_EIGENPAIR_FILTER - Static variable in class elki.math.linearalgebra.pca.AutotuningPCA.Par: Parameter for filtering eigenvectors.
PCA_EIGENPAIR_FILTER - Static variable in interface elki.math.linearalgebra.pca.filter.EigenPairFilter: Parameter to specify the filter for determination of the strong and weak eigenvectors, must be a subclass of EigenPairFilter.
PCAFilteredResult - Class in elki.math.linearalgebra.pca: Result class for a filtered PCA.
PCAFilteredResult(EigenPair[], int, double, double) - Constructor for class elki.math.linearalgebra.pca.PCAFilteredResult: Construct a result object for the filtered PCA result.
pcaresult - Variable in class elki.data.model.CorrelationModel: The computed PCA result of this cluster.
PCAResult - Class in elki.math.linearalgebra.pca: Result class for Principal Component Analysis with some convenience methods
PCAResult(EigenvalueDecomposition) - Constructor for class elki.math.linearalgebra.pca.PCAResult: Constructor from an eigenvalue decomposition.
PCAResult(EigenPair[]) - Constructor for class elki.math.linearalgebra.pca.PCAResult: Build a PCA result from an existing set of EigenPairs.
pcaRunner - Variable in class elki.math.statistics.intrinsicdimensionality.LPCAEstimator: Class to perform PCA
PCARunner - Class in elki.math.linearalgebra.pca: Class to run PCA on given data.
PCARunner(CovarianceMatrixBuilder) - Constructor for class elki.math.linearalgebra.pca.PCARunner: Constructor.
PCARUNNER_ID - Static variable in class elki.math.linearalgebra.pca.PCARunner.Par: Parameter for the PCA variant to use.
PCARUNNER_ID - Static variable in class elki.outlier.COP.Par: Class to compute the PCA with.
PCARUNNER_ID - Static variable in class elki.outlier.SimpleCOP.Par: Parameter for the PCA runner class.
PCARunner.Par - Class in elki.math.linearalgebra.pca: Parameterization class.
pDelta - Variable in class elki.distance.timeseries.LCSSDistance.Par: Keeps the currently set pDelta.
pDelta - Variable in class elki.distance.timeseries.LCSSDistance: Keeps the currently set pDelta.
PDELTA_ID - Static variable in class elki.distance.timeseries.LCSSDistance.Par: PDELTA parameter
pdf(double) - Method in class elki.math.statistics.distribution.BetaDistribution
pdf(double) - Method in class elki.math.statistics.distribution.CauchyDistribution
pdf(double) - Method in class elki.math.statistics.distribution.ChiDistribution
pdf(double) - Method in class elki.math.statistics.distribution.ConstantDistribution
pdf(double) - Method in interface elki.math.statistics.distribution.Distribution: Return the density of an existing value
pdf(double) - Method in class elki.math.statistics.distribution.ExpGammaDistribution
pdf(double) - Method in class elki.math.statistics.distribution.ExponentialDistribution
pdf(double) - Method in class elki.math.statistics.distribution.ExponentiallyModifiedGaussianDistribution
pdf(double) - Method in class elki.math.statistics.distribution.GammaDistribution
pdf(double) - Method in class elki.math.statistics.distribution.GeneralizedExtremeValueDistribution
pdf(double) - Method in class elki.math.statistics.distribution.GeneralizedLogisticAlternateDistribution
pdf(double) - Method in class elki.math.statistics.distribution.GeneralizedLogisticDistribution
pdf(double) - Method in class elki.math.statistics.distribution.GeneralizedParetoDistribution
pdf(double) - Method in class elki.math.statistics.distribution.GumbelDistribution
pdf(double) - Method in class elki.math.statistics.distribution.HaltonUniformDistribution
pdf(double) - Method in class elki.math.statistics.distribution.InverseGaussianDistribution
pdf(double) - Method in class elki.math.statistics.distribution.KappaDistribution
pdf(double) - Method in class elki.math.statistics.distribution.LaplaceDistribution
pdf(double) - Method in class elki.math.statistics.distribution.LogGammaDistribution
pdf(double) - Method in class elki.math.statistics.distribution.LogisticDistribution
pdf(double) - Method in class elki.math.statistics.distribution.LogLogisticDistribution
pdf(double) - Method in class elki.math.statistics.distribution.LogNormalDistribution
pdf(double) - Method in class elki.math.statistics.distribution.NormalDistribution
pdf(double) - Method in class elki.math.statistics.distribution.PoissonDistribution
pdf(double) - Method in class elki.math.statistics.distribution.RayleighDistribution
pdf(double) - Method in class elki.math.statistics.distribution.SkewGeneralizedNormalDistribution
pdf(double) - Method in class elki.math.statistics.distribution.StudentsTDistribution
pdf(double) - Method in class elki.math.statistics.distribution.UniformDistribution
pdf(double) - Method in class elki.math.statistics.distribution.WeibullDistribution
pdf(double, double) - Static method in class elki.math.statistics.distribution.ChiDistribution: PDF function
pdf(double, double) - Static method in class elki.math.statistics.distribution.ChiSquaredDistribution: Chi-Squared distribution PDF (with 0.0 for x < 0)
pdf(double, double) - Static method in class elki.math.statistics.distribution.ExponentialDistribution: PDF, static version
pdf(double, double) - Static method in class elki.math.statistics.distribution.LaplaceDistribution: PDF, static version
pdf(double, double) - Static method in class elki.math.statistics.distribution.RayleighDistribution: PDF of Rayleigh distribution
pdf(double, double, double) - Static method in class elki.math.statistics.distribution.BetaDistribution: Static version of the PDF of the beta distribution
pdf(double, double, double) - Static method in class elki.math.statistics.distribution.CauchyDistribution: PDF function, static version.
pdf(double, double, double) - Static method in class elki.math.statistics.distribution.GammaDistribution: Gamma distribution PDF (with 0.0 for x < 0)
pdf(double, double, double) - Static method in class elki.math.statistics.distribution.GumbelDistribution: PDF of Gumbel distribution
pdf(double, double, double) - Static method in class elki.math.statistics.distribution.InverseGaussianDistribution: Probability density function of the Wald distribution.
pdf(double, double, double) - Static method in class elki.math.statistics.distribution.LogisticDistribution: Probability density function.
pdf(double, double, double) - Static method in class elki.math.statistics.distribution.LogNormalDistribution: Probability density function of the normal distribution.
pdf(double, double, double) - Static method in class elki.math.statistics.distribution.NormalDistribution: Probability density function of the normal distribution.
pdf(double, double, double, double) - Static method in class elki.math.statistics.distribution.ExpGammaDistribution: ExpGamma distribution PDF (with 0.0 for x < 0)
pdf(double, double, double, double) - Static method in class elki.math.statistics.distribution.ExponentiallyModifiedGaussianDistribution: Probability density function of the ExGaussian distribution.
pdf(double, double, double, double) - Static method in class elki.math.statistics.distribution.GeneralizedExtremeValueDistribution: PDF of GEV distribution
pdf(double, double, double, double) - Static method in class elki.math.statistics.distribution.GeneralizedLogisticAlternateDistribution: Probability density function.
pdf(double, double, double, double) - Static method in class elki.math.statistics.distribution.GeneralizedLogisticDistribution: Probability density function.
pdf(double, double, double, double) - Static method in class elki.math.statistics.distribution.GeneralizedParetoDistribution: PDF of GPD distribution
pdf(double, double, double, double) - Static method in class elki.math.statistics.distribution.LogGammaDistribution: LogGamma distribution PDF (with 0.0 for x < 0)
pdf(double, double, double, double) - Static method in class elki.math.statistics.distribution.LogLogisticDistribution: Probability density function.
pdf(double, double, double, double) - Static method in class elki.math.statistics.distribution.SkewGeneralizedNormalDistribution: Probability density function of the skewed normal distribution.
pdf(double, double, double, double) - Static method in class elki.math.statistics.distribution.WeibullDistribution: PDF of Weibull distribution
pdf(double, double, double, double, double) - Static method in class elki.math.statistics.distribution.KappaDistribution: Probability density function.
pdf(double, int) - Static method in class elki.math.statistics.distribution.StudentsTDistribution: Static version of the t distribution's PDF.
PDF - elki.result.ExportVisualizations.Format
pdim - Variable in class elki.clustering.dbscan.predicates.PreDeConNeighborPredicate.PreDeConModel: Preference dimensionality.
peanoSort(List<? extends SpatialComparable>, int, int, double[], int[], int, long[], boolean) - Method in class elki.math.spacefillingcurves.PeanoSpatialSorter: Sort by Peano curve.
PeanoSpatialSorter - Class in elki.math.spacefillingcurves: Bulk-load an R-tree index by presorting the objects with their position on the Peano curve.
PeanoSpatialSorter() - Constructor for class elki.math.spacefillingcurves.PeanoSpatialSorter: Constructor, use PeanoSpatialSorter.STATIC instead.
PeanoSpatialSorter.Par - Class in elki.math.spacefillingcurves: Parameterization class.
PEARSON - elki.application.greedyensemble.GreedyEnsembleExperiment.Distance
PearsonCorrelation - Class in elki.math: Class to compute the Pearson correlation coefficient (PCC) also known as Pearson product-moment correlation coefficient (PPMCC).
PearsonCorrelation() - Constructor for class elki.math.PearsonCorrelation: Constructor.
PearsonCorrelationDependence - Class in elki.math.statistics.dependence: Pearson product-moment correlation coefficient.
PearsonCorrelationDependence() - Constructor for class elki.math.statistics.dependence.PearsonCorrelationDependence: Constructor - use PearsonCorrelationDependence.STATIC instance.
PearsonCorrelationDependence.Par - Class in elki.math.statistics.dependence: Parameterization class
PearsonCorrelationDistance - Class in elki.distance.correlation: Pearson correlation distance function for feature vectors.
PearsonCorrelationDistance() - Constructor for class elki.distance.correlation.PearsonCorrelationDistance: Deprecated.
Use static instance!
PearsonCorrelationDistance.Par - Class in elki.distance.correlation: Parameterization class.
peek() - Method in class elki.utilities.datastructures.heap.ComparableMaxHeap
peek() - Method in class elki.utilities.datastructures.heap.ComparableMinHeap
peek() - Method in class elki.utilities.datastructures.heap.ComparatorMaxHeap
peek() - Method in class elki.utilities.datastructures.heap.ComparatorMinHeap
peek() - Method in interface elki.utilities.datastructures.heap.DoubleHeap: Get the current top key
peek() - Method in class elki.utilities.datastructures.heap.DoubleMaxHeap
peek() - Method in class elki.utilities.datastructures.heap.DoubleMinHeap
peek() - Method in class elki.utilities.datastructures.heap.Heap: Peek at the top element.
peek() - Method in interface elki.utilities.datastructures.heap.IntegerHeap: Get the current top key
peek() - Method in class elki.utilities.datastructures.heap.IntegerMaxHeap
peek() - Method in class elki.utilities.datastructures.heap.IntegerMinHeap
peek() - Method in interface elki.utilities.datastructures.heap.ObjectHeap: Get the current top key
peekKey() - Method in interface elki.database.ids.DoubleDBIDHeap: Get the topmost value (the heap is a DBIDRef, referencing the top element).
peekKey() - Method in class elki.database.ids.integer.DoubleIntegerDBIDHeap
peekKey() - Method in class elki.database.ids.integer.DoubleIntegerDBIDKNNHeap
peekKey() - Method in interface elki.utilities.datastructures.heap.DoubleIntegerHeap: Get the current top key.
peekKey() - Method in class elki.utilities.datastructures.heap.DoubleIntegerMaxHeap
peekKey() - Method in class elki.utilities.datastructures.heap.DoubleIntegerMinHeap
peekKey() - Method in interface elki.utilities.datastructures.heap.DoubleLongHeap: Get the current top key.
peekKey() - Method in class elki.utilities.datastructures.heap.DoubleLongMaxHeap
peekKey() - Method in class elki.utilities.datastructures.heap.DoubleLongMinHeap
peekKey() - Method in interface elki.utilities.datastructures.heap.DoubleObjectHeap: Get the current top key.
peekKey() - Method in class elki.utilities.datastructures.heap.DoubleObjectMaxHeap
peekKey() - Method in class elki.utilities.datastructures.heap.DoubleObjectMinHeap
peekKey() - Method in interface elki.utilities.datastructures.heap.IntegerObjectHeap: Get the current top key.
peekKey() - Method in class elki.utilities.datastructures.heap.IntegerObjectMaxHeap
peekKey() - Method in class elki.utilities.datastructures.heap.IntegerObjectMinHeap
peekValue() - Method in interface elki.utilities.datastructures.heap.DoubleIntegerHeap: Get the current top value.
peekValue() - Method in class elki.utilities.datastructures.heap.DoubleIntegerMaxHeap
peekValue() - Method in class elki.utilities.datastructures.heap.DoubleIntegerMinHeap
peekValue() - Method in interface elki.utilities.datastructures.heap.DoubleLongHeap: Get the current top value.
peekValue() - Method in class elki.utilities.datastructures.heap.DoubleLongMaxHeap
peekValue() - Method in class elki.utilities.datastructures.heap.DoubleLongMinHeap
peekValue() - Method in interface elki.utilities.datastructures.heap.DoubleObjectHeap: Get the current top value.
peekValue() - Method in class elki.utilities.datastructures.heap.DoubleObjectMaxHeap
peekValue() - Method in class elki.utilities.datastructures.heap.DoubleObjectMinHeap
peekValue() - Method in interface elki.utilities.datastructures.heap.IntegerObjectHeap: Get the current top value.
peekValue() - Method in class elki.utilities.datastructures.heap.IntegerObjectMaxHeap
peekValue() - Method in class elki.utilities.datastructures.heap.IntegerObjectMinHeap
penalize - Variable in class elki.evaluation.clustering.internal.Silhouette.Par: Penalize noise, if NoiseHandling.IGNORE_NOISE is set.
penalize - Variable in class elki.evaluation.clustering.internal.Silhouette: Penalize noise, if NoiseHandling.IGNORE_NOISE is set.
penalize - Variable in class elki.evaluation.clustering.internal.SimplifiedSilhouette.Par: Penalize noise, if NoiseHandling.IGNORE_NOISE is set.
penalize - Variable in class elki.evaluation.clustering.internal.SimplifiedSilhouette: Penalize noise, if NoiseHandling.IGNORE_NOISE is set.
penalize - Variable in class elki.evaluation.clustering.internal.VarianceRatioCriterion.Par: Penalize noise, if NoiseHandling.IGNORE_NOISE is set.
penalize - Variable in class elki.evaluation.clustering.internal.VarianceRatioCriterion: Penalize noise, if NoiseHandling.IGNORE_NOISE is set.
pending - Variable in class elki.visualization.batikutil.JSVGUpdateSynchronizer: The current Runnable scheduled, prevents repeated invocations.
pendingRedraw - Variable in class elki.visualization.gui.VisualizationPlot: Pending redraw request in Batik.
pendingRefresh - Variable in class elki.visualization.gui.detail.DetailView: Pending refresh, for lazy refreshing
pendingRefresh - Variable in class elki.visualization.gui.overview.OverviewPlot: Pending refresh, for lazy refreshing
pendingThumbnail - Variable in class elki.visualization.visualizers.thumbs.ThumbnailVisualization: Pending redraw
pEpsilon - Variable in class elki.distance.timeseries.LCSSDistance.Par: Keeps the currently set pEpsilon.
pEpsilon - Variable in class elki.distance.timeseries.LCSSDistance: Keeps the currently set pEpsilon.
PEPSILON_ID - Static variable in class elki.distance.timeseries.LCSSDistance.Par: PEPSILON parameter
percentage - Variable in class elki.algorithm.KNNDistancesSampler.Par: Sampling percentage.
percentage - Variable in class elki.datasource.filter.transform.PerturbationFilter.Par: 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 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 elki.datasource.filter.transform.PerturbationFilter.Par: 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 elki.math.linearalgebra.pca.filter: 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 elki.math.linearalgebra.pca.filter.PercentageEigenPairFilter: Constructor.
PercentageEigenPairFilter.Par - Class in elki.math.linearalgebra.pca.filter: Parameterization class.
performLastSwap(DBIDRef) - Method in class elki.clustering.kmedoids.FastCLARANS.Assignment: Compute the reassignment cost, for one swap.
perimeter(SpatialComparable) - Static method in class elki.data.spatial.SpatialUtil: Computes the perimeter of this SpatialComparable.
permutePivot(int, int, int, int) - Method in class elki.math.linearalgebra.LinearEquationSystem: permutes two matrix rows and two matrix columns
perplexity - Variable in class elki.outlier.distance.SOS: Perplexity
perplexity - Variable in class elki.projection.PerplexityAffinityMatrixBuilder.Par: Perplexity.
perplexity - Variable in class elki.projection.PerplexityAffinityMatrixBuilder: Perplexity.
PERPLEXITY_ERROR - Static variable in class elki.outlier.distance.SOS: Threshold for optimizing perplexity.
PERPLEXITY_ERROR - Static variable in class elki.projection.BarnesHutTSNE: Threshold for optimizing perplexity.
PERPLEXITY_ERROR - Static variable in class elki.projection.PerplexityAffinityMatrixBuilder: Threshold for optimizing perplexity.
PERPLEXITY_ID - Static variable in class elki.projection.PerplexityAffinityMatrixBuilder.Par: Perplexity parameter, the number of neighbors to preserve.
PERPLEXITY_MAXITER - Static variable in class elki.outlier.distance.SOS: Maximum number of iterations when optimizing perplexity.
PERPLEXITY_MAXITER - Static variable in class elki.projection.BarnesHutTSNE: Maximum number of iterations when optimizing perplexity.
PERPLEXITY_MAXITER - Static variable in class elki.projection.PerplexityAffinityMatrixBuilder: Maximum number of iterations when optimizing perplexity.
PerplexityAffinityMatrixBuilder<O> - Class in elki.projection: Compute the affinity matrix for SNE and tSNE.
PerplexityAffinityMatrixBuilder(Distance<? super O>, double) - Constructor for class elki.projection.PerplexityAffinityMatrixBuilder: Constructor.
PerplexityAffinityMatrixBuilder.Par<O> - Class in elki.projection: Parameterization class.
PersistentPageFile - Class in elki.persistent: A PersistentPageFile stores objects persistently that implement the Page interface.
PersistentPageFile(int, Path, Class) - Constructor for class elki.persistent.PersistentPageFile: Creates a new PersistentPageFile from an existing file.
PersistentPageFileFactory - Class in elki.persistent: Page file factory for disk-based page files.
PersistentPageFileFactory(int, Path) - Constructor for class elki.persistent.PersistentPageFileFactory: Constructor.
PerturbationFilter<V extends NumberVector> - Class in 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 elki.datasource.filter.transform.PerturbationFilter: Constructor.
PerturbationFilter.NoiseDistribution - Enum in elki.datasource.filter.transform: Nature of the noise distribution.
PerturbationFilter.Par<V extends NumberVector> - Class in elki.datasource.filter.transform: Parameterization class.
PerturbationFilter.ScalingReference - Enum in elki.datasource.filter.transform: Scaling reference options.
pf - Variable in class elki.outlier.distance.HilOut.HilbertFeatures: Hilbert representation ("point features")
phi - Variable in class elki.outlier.distance.KNNSOS: Expected outlier rate.
phi - Variable in class elki.outlier.intrinsic.ISOS: Expected outlier rate.
phi - Variable in class elki.outlier.subspace.AbstractAggarwalYuOutlier.Par: Phi parameter.
phi - Variable in class elki.outlier.subspace.AbstractAggarwalYuOutlier: The number of partitions for each dimension.
phi - Variable in class elki.utilities.scaling.outlier.COPOutlierScaling.Par: Phi value.
phi - Variable in class elki.utilities.scaling.outlier.COPOutlierScaling: Phi parameter.
PHI_ID - Static variable in class elki.outlier.subspace.AbstractAggarwalYuOutlier.Par: OptionID for the grid size.
PHI_ID - Static variable in class elki.utilities.scaling.outlier.COPOutlierScaling.Par: Phi parameter.
PhiCorrelationCoefficient - Class in elki.itemsetmining.associationrules.interest: Phi Correlation Coefficient interestingness measure.
PhiCorrelationCoefficient() - Constructor for class elki.itemsetmining.associationrules.interest.PhiCorrelationCoefficient: Constructor.
PHIINV075 - Static variable in class elki.math.statistics.distribution.NormalDistribution: CDFINV(0.75)
pij - Variable in class elki.projection.DenseAffinityMatrix: Dense storage.
pij - Variable in class elki.projection.SparseAffinityMatrix: Non-zero entries
PINN<O extends NumberVector> - Class in 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 elki.index.projected.PINN: Constructor.
pinv - Variable in class tutorial.distancefunction.MultiLPNorm: Normalization factor (count(ps)/sum(ps))
PISQUARE - Static variable in class elki.math.MathUtil: Pi squared
piv - Variable in class elki.math.linearalgebra.LUDecomposition: Internal storage of pivot vector.
pivot() - Method in class elki.utilities.datastructures.KuhnMunkres: Pivot columns mark to row marks.
pivot() - Method in class elki.utilities.datastructures.KuhnMunkresWong: Pivot columns mark to row marks.
pivot(Relation<? extends NumberVector>, ArrayModifiableDBIDs, DBIDArrayMIter, int, int, int, double) - Static method in class elki.index.tree.spatial.kd.split.SplitStrategy.Util: Pivot an interval.
pivotizeList1D(List<? extends SpatialComparable>, int, int, int, double, boolean) - Static method in class elki.math.spacefillingcurves.ZCurveSpatialSorter: "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 elki.math.linearalgebra.LinearEquationSystem: performs a pivot operation
pivsign - Variable in class elki.math.linearalgebra.LUDecomposition: Row and column dimensions, and pivot sign.
PixmapResult - Interface in elki.result: Result encapsulating a single image.
PixmapVisualizer - Class in elki.visualization.visualizers.visunproj: Visualize an arbitrary pixmap result.
PixmapVisualizer() - Constructor for class elki.visualization.visualizers.visunproj.PixmapVisualizer: Constructor.
PixmapVisualizer.Instance - Class in elki.visualization.visualizers.visunproj: Instance.
pkgname - Variable in class elki.gui.util.ClassTree.PackageNode: Class name.
plaintextEditor - Variable in class elki.gui.util.ParameterTable.AdjustingEditor: The plain text cell editor
plambda - Variable in class elki.utilities.scaling.outlier.SqrtStandardDeviationScaling: Predefined lambda scaling factor.
plot - Variable in class elki.visualization.batikutil.JSVGSynchronizedCanvas: Current SVG plot.
plot - Variable in class elki.visualization.batikutil.NodeAppendChild: The plot (for ID updates).
plot - Variable in class elki.visualization.batikutil.NodeReplaceByID: Plot to work in.
plot - Variable in class elki.visualization.gui.overview.OverviewPlot: The SVG plot object.
plot - Variable in class elki.visualization.opticsplot.OPTICSPlot: The Optics plot.
plot - Variable in class elki.visualization.projector.OPTICSProjector: OPTICS plot image
plot - Variable in class elki.visualization.projector.SilhouettePlotProjector: Silhouette plot image
plot - Variable in class elki.visualization.silhouette.SilhouettePlot: The Silhouette plot.
plot - Variable in class elki.visualization.visualizers.thumbs.ThumbnailVisualization: Plot the thumbnail is in.
PLOT - Static variable in interface elki.visualization.style.StyleLibrary: Plot
plotForClusterOrder(ClusterOrder, VisualizerContext) - Static method in class elki.visualization.opticsplot.OPTICSPlot: Static method to find an optics plot for a result, or to create a new one using the given context.
plotForSilhouetteValues(DoubleDBIDList[], VisualizerContext) - Static method in class elki.visualization.silhouette.SilhouettePlot: Static method to find a silhouette plot for a result, or to create a new one using the given context.
PLOTGRAY - Static variable in interface elki.visualization.style.StyleLibrary: Grayed out objects
plotheight - Variable in class elki.visualization.visualizers.optics.AbstractOPTICSVisualization: Height of plot (in display units)
plotheight - Variable in class elki.visualization.visualizers.silhouette.AbstractSilhouetteVisualization: Height of plot (in display units)
PlotItem - Class in elki.visualization.gui.overview: Item to collect visualization tasks on a specific position on the plot map.
PlotItem(double, double, double, double, Projection) - Constructor for class elki.visualization.gui.overview.PlotItem: Constructor.
PlotItem(double, double, Projection) - Constructor for class elki.visualization.gui.overview.PlotItem: Constructor.
PlotItem(PlotItem) - Constructor for class elki.visualization.gui.overview.PlotItem: Clone constructor.
PlotItem.ItmItr - Class in elki.visualization.gui.overview: Recursive iterator
plotlayer - Variable in class elki.visualization.gui.overview.OverviewPlot: Layer for plot thumbnail
plotmap - Variable in class elki.visualization.gui.overview.OverviewPlot: Map of coordinates to plots.
plotMarker(SVGPlot, double, double, int, double, double) - Method in class elki.visualization.style.marker.PrettyMarkers: Draw an marker used in scatter plots.
plotnum - Variable in class elki.visualization.opticsplot.OPTICSPlot: The plot number for Batik
plotnum - Variable in class elki.visualization.silhouette.SilhouettePlot: The plot number for Batik
plotSimple(SVGPlot, double, double, double, String) - Method in class elki.visualization.style.marker.PrettyMarkers: Plot a replacement marker when no color is set; usually black
plotSize - Variable in class elki.visualization.visualizers.silhouette.SilhouettePlotSelectionToolVisualization.Instance: Nmber of points pllus spaces in the plot
plotSize - Variable in class elki.visualization.visualizers.silhouette.SilhouettePlotSelectionVisualization.Instance: Nmber of points pllus spaces in the plot
plotwidth - Variable in class elki.visualization.visualizers.optics.AbstractOPTICSVisualization: Width of plot (in display units)
plotwidth - Variable in class elki.visualization.visualizers.silhouette.AbstractSilhouetteVisualization: Width of plot (in display units)
plus(double[][], double[][]) - Static method in class elki.math.linearalgebra.VMath: Component-wise matrix sum: m3 = m1 + m2.
plus(double[], double) - Static method in class elki.math.linearalgebra.VMath: Computes component-wise v1 + s1.
plus(double[], double[]) - Static method in class elki.math.linearalgebra.VMath: Computes component-wise v1 + v2 for vectors.
plusEquals(double[][], double[][]) - Static method in class elki.math.linearalgebra.VMath: Component-wise matrix operation: m1 = m1 + m2, overwriting the existing matrix m1.
plusEquals(double[], double) - Static method in class elki.math.linearalgebra.VMath: Computes component-wise v1 = v1 + s1, overwriting the vector v1.
plusEquals(double[], double[]) - Static method in class elki.math.linearalgebra.VMath: Computes component-wise v1 = v1 + v2, overwriting the vector v1.
plusEquals(double[], NumberVector) - Static method in class elki.clustering.kmeans.AbstractKMeans: Similar to VMath.plusEquals, but accepts a number vector.
plusMinusEquals(double[], double[], NumberVector) - Static method in class elki.clustering.kmeans.AbstractKMeans: Add to one, remove from another.
plusTimes(double[][], double[][], double) - Static method in class elki.math.linearalgebra.VMath: Component-wise matrix operation: m3 = m1 + m2 * s2.
plusTimes(double[], double[], double) - Static method in class elki.math.linearalgebra.VMath: Computes component-wise v1 + v2 * s2.
plusTimesEquals(double[][], double[][], double) - Static method in class elki.math.linearalgebra.VMath: Component-wise matrix operation: m1 = m1 + m2 * s2, overwriting the existing matrix m1.
plusTimesEquals(double[], double[], double) - Static method in class elki.math.linearalgebra.VMath: Computes component-wise v1 = v1 + v2 * s2, overwriting the vector v1.
pmax - Variable in class elki.utilities.scaling.outlier.OutlierSqrtScaling: Predefined minimum and maximum values.
pmean - Variable in class elki.utilities.scaling.outlier.SqrtStandardDeviationScaling: Pre-fixed minimum and mean.
pmf(double) - Method in class elki.math.statistics.distribution.ConstantDistribution: Probability mass function.
pmf(double, int, double) - Static method in class elki.math.statistics.distribution.PoissonDistribution: Poisson probability mass function (PMF) for integer values.
pmf(int) - Method in class elki.math.statistics.distribution.PoissonDistribution: Poisson probability mass function (PMF) for integer values.
pmin - Variable in class elki.utilities.scaling.outlier.OutlierSqrtScaling: Predefined minimum and maximum values.
pmin - Variable in class elki.utilities.scaling.outlier.SqrtStandardDeviationScaling: Pre-fixed minimum and mean.
PNG - elki.result.ExportVisualizations.Format
points - Variable in class elki.data.spatial.Polygon: The actual points
points - Variable in class elki.data.synthetic.bymodel.GeneratorStatic: Cluster points
points - Variable in class elki.index.preprocessed.fastoptics.RandomProjectedNeighborsAndDensities: entire point set
points - Variable in class elki.math.geometry.AlphaShape: Points
points - Variable in class elki.math.geometry.FilteredConvexHull2D: The current set of candidate points.
points - Variable in class elki.math.geometry.GrahamScanConvexHull2D: The current set of points
points - Variable in class elki.math.geometry.SweepHullDelaunay2D: The current set of points.
points - Variable in class elki.projection.BarnesHutTSNE.QuadTree: Points stored in this node.
POISSON_THRESHOLD_ID - Static variable in class elki.clustering.subspace.P3C.Par: Parameter for the poisson test threshold.
PoissonDistribution - Class in elki.math.statistics.distribution: INCOMPLETE implementation of the poisson distribution.
PoissonDistribution(int, double) - Constructor for class elki.math.statistics.distribution.PoissonDistribution: Constructor.
PoissonDistribution.Par - Class in elki.math.statistics.distribution: Parameterization class
poissonPDFm1(double, double) - Static method in class elki.math.statistics.distribution.PoissonDistribution: Compute the poisson distribution PDF with an offset of + 1
poissonThreshold - Variable in class elki.clustering.subspace.P3C.Par: Parameter for the poisson test threshold.
poissonThreshold - Variable in class elki.clustering.subspace.P3C: Parameter for the Poisson test threshold.
policy - Variable in class elki.visualization.visualizers.pairsegments.CircleSegmentsVisualizer.Instance: Styling policy
poll() - Method in interface elki.database.ids.DoubleDBIDHeap: Remove the topmost element.
poll() - Method in class elki.database.ids.integer.DoubleIntegerDBIDHeap
poll() - Method in class elki.database.ids.integer.DoubleIntegerDBIDKNNHeap
poll() - Method in class elki.utilities.datastructures.heap.ComparableMaxHeap
poll() - Method in class elki.utilities.datastructures.heap.ComparableMinHeap
poll() - Method in class elki.utilities.datastructures.heap.ComparatorMaxHeap
poll() - Method in class elki.utilities.datastructures.heap.ComparatorMinHeap
poll() - Method in interface elki.utilities.datastructures.heap.DoubleHeap: Remove the first element
poll() - Method in interface elki.utilities.datastructures.heap.DoubleIntegerHeap: Remove the first element.
poll() - Method in class elki.utilities.datastructures.heap.DoubleIntegerMaxHeap
poll() - Method in class elki.utilities.datastructures.heap.DoubleIntegerMinHeap
poll() - Method in interface elki.utilities.datastructures.heap.DoubleLongHeap: Remove the first element.
poll() - Method in class elki.utilities.datastructures.heap.DoubleLongMaxHeap
poll() - Method in class elki.utilities.datastructures.heap.DoubleLongMinHeap
poll() - Method in class elki.utilities.datastructures.heap.DoubleMaxHeap
poll() - Method in class elki.utilities.datastructures.heap.DoubleMinHeap
poll() - Method in interface elki.utilities.datastructures.heap.DoubleObjectHeap: Remove the first element.
poll() - Method in class elki.utilities.datastructures.heap.DoubleObjectMaxHeap
poll() - Method in class elki.utilities.datastructures.heap.DoubleObjectMinHeap
poll() - Method in class elki.utilities.datastructures.heap.Heap: Remove the top element.
poll() - Method in interface elki.utilities.datastructures.heap.IntegerHeap: Remove the first element
poll() - Method in class elki.utilities.datastructures.heap.IntegerMaxHeap
poll() - Method in class elki.utilities.datastructures.heap.IntegerMinHeap
poll() - Method in interface elki.utilities.datastructures.heap.IntegerObjectHeap: Remove the first element.
poll() - Method in class elki.utilities.datastructures.heap.IntegerObjectMaxHeap
poll() - Method in class elki.utilities.datastructures.heap.IntegerObjectMinHeap
poll() - Method in interface elki.utilities.datastructures.heap.ObjectHeap: Remove the first element
poll() - Method in class elki.utilities.datastructures.heap.UpdatableHeap
poly - Variable in class elki.math.geometry.FilteredConvexHull2D: Computed polygon.
Polygon - Class in elki.data.spatial: Class representing a simple polygon.
Polygon(List<double[]>) - Constructor for class elki.data.spatial.Polygon: Constructor.
Polygon(List<double[]>, double, double, double, double) - Constructor for class elki.data.spatial.Polygon: Constructor.
POLYGON_SEPARATOR - Static variable in class elki.datasource.parser.SimplePolygonParser: Polygon separator
POLYGON_TYPE - Static variable in class elki.data.type.TypeUtil: Type for polygons.
polygons - Variable in class elki.data.spatial.PolygonsObject: The polygons
POLYGONS - Static variable in interface elki.visualization.style.StyleLibrary: Polygons style
PolygonsObject - Class in elki.data.spatial: Object representation consisting of (multiple) polygons.
PolygonsObject(Collection<Polygon>) - Constructor for class elki.data.spatial.PolygonsObject: Constructor.
PolygonVisualization - Class in elki.visualization.visualizers.scatterplot: Renders PolygonsObject in the data set.
PolygonVisualization() - Constructor for class elki.visualization.visualizers.scatterplot.PolygonVisualization: Constructor
PolygonVisualization.Instance - Class in elki.visualization.visualizers.scatterplot: Instance
PolynomialApproximation - Class in 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 elki.index.tree.metrical.mtreevariants.mktrees.mkapp.PolynomialApproximation: Empty constructor for serialization purposes.
PolynomialApproximation(double[]) - Constructor for class 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.
PolynomialKernel - Class in elki.similarity.kernel: Polynomial Kernel function that computes a similarity between the two feature vectors x and y defined by \((x^T\cdot y+b)^{\text{degree}}\).
PolynomialKernel(int) - Constructor for class elki.similarity.kernel.PolynomialKernel: Constructor.
PolynomialKernel(int, double) - Constructor for class elki.similarity.kernel.PolynomialKernel: Constructor.
PolynomialKernel.Par - Class in elki.similarity.kernel: Parameterization class.
PolynomialRegression - Class in elki.math.statistics: A polynomial fit is a specific type of multiple regression.
PolynomialRegression(double[], double[], int) - Constructor for class elki.math.statistics.PolynomialRegression: Constructor.
polys - Variable in class elki.datasource.parser.SimplePolygonParser: (Reused) storage of polygons.
POLYS - Static variable in class elki.visualization.visualizers.scatterplot.PolygonVisualization.Instance: Generic tag to indicate the type of element.
pop(DBIDVar) - Method in class elki.database.ids.integer.ArrayModifiableIntegerDBIDs
pop(DBIDVar) - Method in class elki.database.ids.integer.FastutilIntOpenHashSetModifiableDBIDs
pop(DBIDVar) - Method in interface elki.database.ids.ModifiableDBIDs: Pop (get and remove) one DBID from the set, into a variable.
popInt() - Method in class elki.database.ids.integer.FastutilIntOpenHashSetModifiableDBIDs.IntOpenHashSet: Pop a single value from the hash table.
popup - Variable in class elki.gui.configurator.ClassListParameterConfigurator: The popup we use.
popup - Variable in class elki.gui.configurator.ClassParameterConfigurator: The popup we use.
popup - Variable in class elki.gui.util.ParameterTable.ClassListEditor: The popup menu.
pos - Variable in class elki.database.ids.integer.ArrayModifiableIntegerDBIDs.Itr: Iterator position.
pos - Variable in class elki.database.ids.integer.ArrayModifiableIntegerDBIDs.Slice.SliceItr: Iterator position.
pos - Variable in class elki.database.ids.integer.ArrayStaticIntegerDBIDs.Itr: Position within array.
pos - Variable in class elki.database.ids.integer.ArrayStaticIntegerDBIDs.Slice.SliceItr: Iterator position.
pos - Variable in class elki.database.ids.integer.DoubleIntegerDBIDArrayList.Itr: Current offset.
pos - Variable in class elki.database.ids.integer.IntegerDBID.Itr: Iterator position: We use an integer so we can support retract().
pos - Variable in class elki.database.ids.integer.IntegerDBIDPair.Itr: State
pos - Variable in class elki.database.ids.integer.IntegerDBIDPair.Slice.SliceItr: Iterator position.
pos - Variable in class elki.database.ids.integer.IntegerDBIDRange.Itr: Current position.
pos - Variable in class elki.database.ids.integer.IntegerDBIDVar.Itr: Iterator position: We use an integer so we can support retract().
pos - Variable in class elki.evaluation.classification.holdout.LeaveOneOut: Size of the data set.
pos - Variable in class elki.evaluation.scores.adapter.AbstractVectorIter: Current position.
pos - Variable in class elki.index.tree.spatial.kd.MemoryKDTree.KDTreePrioritySearcher: Position within leaf.
pos - Variable in class elki.index.tree.spatial.kd.MinimalisticMemoryKDTree.KDTreePrioritySearcher: Position within leaf.
pos - Variable in class elki.index.tree.spatial.kd.SmallMemoryKDTree.KDTreePrioritySearcher: Position within leaf.
pos - Variable in class elki.index.tree.spatial.kd.split.SplitStrategy.Info: Split position in array
pos - Variable in class elki.math.geometry.XYCurve.Itr: Iterator position
pos - Variable in class elki.math.geometry.XYPlot.Curve.Itr: Iterator position
pos - Variable in class elki.result.Metadata.Hierarchy.ItrChildren: Next position.
pos - Variable in class elki.result.Metadata.Hierarchy.ItrChildrenReverse: Current position.
pos - Variable in class elki.result.Metadata.Hierarchy.ItrParents: Next position.
pos - Variable in class elki.result.Metadata.Hierarchy.ItrParentsReverse: Current position.
pos - Variable in class elki.utilities.datastructures.heap.ComparableMaxHeap.UnsortedIter: Iterator position.
pos - Variable in class elki.utilities.datastructures.heap.ComparableMinHeap.UnsortedIter: Iterator position.
pos - Variable in class elki.utilities.datastructures.heap.ComparatorMaxHeap.UnsortedIter: Iterator position.
pos - Variable in class elki.utilities.datastructures.heap.ComparatorMinHeap.UnsortedIter: Iterator position.
pos - Variable in class elki.utilities.datastructures.heap.DoubleIntegerMaxHeap.UnsortedIter: Iterator position.
pos - Variable in class elki.utilities.datastructures.heap.DoubleIntegerMinHeap.UnsortedIter: Iterator position.
pos - Variable in class elki.utilities.datastructures.heap.DoubleLongMaxHeap.UnsortedIter: Iterator position.
pos - Variable in class elki.utilities.datastructures.heap.DoubleLongMinHeap.UnsortedIter: Iterator position.
pos - Variable in class elki.utilities.datastructures.heap.DoubleMaxHeap.UnsortedIter: Iterator position.
pos - Variable in class elki.utilities.datastructures.heap.DoubleMinHeap.UnsortedIter: Iterator position.
pos - Variable in class elki.utilities.datastructures.heap.DoubleObjectMaxHeap.UnsortedIter: Iterator position.
pos - Variable in class elki.utilities.datastructures.heap.DoubleObjectMinHeap.UnsortedIter: Iterator position.
pos - Variable in class elki.utilities.datastructures.heap.Heap.UnorderedIter: Current iterator position.
pos - Variable in class elki.utilities.datastructures.heap.IntegerMaxHeap.UnsortedIter: Iterator position.
pos - Variable in class elki.utilities.datastructures.heap.IntegerMinHeap.UnsortedIter: Iterator position.
pos - Variable in class elki.utilities.datastructures.heap.IntegerObjectMaxHeap.UnsortedIter: Iterator position.
pos - Variable in class elki.utilities.datastructures.heap.IntegerObjectMinHeap.UnsortedIter: Iterator position.
pos - Variable in class elki.utilities.datastructures.hierarchy.HashMapHierarchy.ItrAll
pos - Variable in class elki.utilities.datastructures.hierarchy.HashMapHierarchy.Rec.ItrChildren
pos - Variable in class elki.utilities.datastructures.hierarchy.HashMapHierarchy.Rec.ItrChildrenReverse
pos - Variable in class elki.utilities.datastructures.hierarchy.HashMapHierarchy.Rec.ItrParents
pos - Variable in class elki.utilities.datastructures.hierarchy.HashMapHierarchy.Rec.ItrParentsReverse
pos - Variable in class elki.utilities.datastructures.iterator.ArrayListIter: Current position.
pos - Variable in class elki.utilities.io.LineReader: Current position, and length of buffer
positions - Variable in class elki.clustering.hierarchical.ClusterMergeHistory: Positions for layouting.
positions - Variable in class elki.index.preprocessed.knn.NaiveProjectedKNNPreprocessor: Curve position storage
positions - Variable in class elki.index.preprocessed.knn.SpacefillingKNNPreprocessor: Curve position storage
PositionStyle() - Constructor for enum elki.visualization.visualizers.visunproj.DendrogramVisualization.PositionStyle
positive - Variable in class elki.application.greedyensemble.EvaluatePrecomputedOutlierScores: Vector of positive values.
positive - Variable in class elki.datasource.filter.typeconversions.ClassLabelFromPatternFilter.Par: Names for positive and negative classes.
positive - Variable in class elki.datasource.filter.typeconversions.ClassLabelFromPatternFilter: Label to return for positive matches.
positive - Variable in class elki.evaluation.scores.adapter.AbstractVectorIter: Vector of positive examples.
POSITIVE_CLASS_NAME_ID - Static variable in class elki.evaluation.outlier.ComputeOutlierHistogram.Par: The object pattern to identify positive classes
POSITIVE_CLASS_NAME_ID - Static variable in class elki.evaluation.outlier.JudgeOutlierScores.Par: The distance function to determine the reachability distance between database objects.
POSITIVE_CLASS_NAME_ID - Static variable in class elki.evaluation.outlier.OutlierPrecisionAtKCurve.Par: The pattern to identify positive classes.
POSITIVE_CLASS_NAME_ID - Static variable in class elki.evaluation.outlier.OutlierPrecisionRecallCurve.Par: The pattern to identify positive classes.
POSITIVE_CLASS_NAME_ID - Static variable in class elki.evaluation.outlier.OutlierPrecisionRecallGainCurve.Par: The pattern to identify positive classes.
POSITIVE_CLASS_NAME_ID - Static variable in class elki.evaluation.outlier.OutlierRankingEvaluation.Par: The pattern to identify positive classes.
POSITIVE_CLASS_NAME_ID - Static variable in class elki.evaluation.outlier.OutlierROCCurve.Par: The pattern to identify positive classes.
POSITIVE_ID - Static variable in class elki.datasource.filter.typeconversions.ClassLabelFromPatternFilter.Par: Class label to assign to positive instances.
positiveClassName - Variable in class elki.evaluation.outlier.ComputeOutlierHistogram.Par: Stores the "positive" class.
positiveClassName - Variable in class elki.evaluation.outlier.ComputeOutlierHistogram: Stores the "positive" class.
positiveClassName - Variable in class elki.evaluation.outlier.JudgeOutlierScores.Par: Stores the "positive" class.
positiveClassName - Variable in class elki.evaluation.outlier.JudgeOutlierScores: Stores the "positive" class.
positiveClassName - Variable in class elki.evaluation.outlier.OutlierPrecisionAtKCurve.Par: Stores the "positive" class.
positiveClassName - Variable in class elki.evaluation.outlier.OutlierPrecisionAtKCurve: Stores the "positive" class.
positiveClassName - Variable in class elki.evaluation.outlier.OutlierPrecisionRecallCurve.Par: Matcher for the "positive" class.
positiveClassName - Variable in class elki.evaluation.outlier.OutlierPrecisionRecallCurve: Matcher for the "positive" class.
positiveClassName - Variable in class elki.evaluation.outlier.OutlierPrecisionRecallGainCurve.Par: Matcher for the "positive" class.
positiveClassName - Variable in class elki.evaluation.outlier.OutlierPrecisionRecallGainCurve: Pattern for the positive class.
positiveClassName - Variable in class elki.evaluation.outlier.OutlierRankingEvaluation.Par: Pattern for positive class.
positiveClassName - Variable in class elki.evaluation.outlier.OutlierRankingEvaluation: Stores the "positive" class.
positiveClassName - Variable in class elki.evaluation.outlier.OutlierROCCurve.Par: Pattern for positive class.
positiveClassName - Variable in class elki.evaluation.outlier.OutlierROCCurve: Stores the "positive" class.
positiveClassName - Variable in class elki.evaluation.outlier.OutlierSmROCCurve.Par: Pattern for positive class.
positiveClassName - Variable in class elki.evaluation.outlier.OutlierSmROCCurve: Stores the "positive" class.
positivePredictedValue() - Method in class elki.evaluation.classification.ConfusionMatrix: Provides the positive predicted value.
positivePredictedValue(int) - Method in class elki.evaluation.classification.ConfusionMatrix: Provides the positive predicted value for the specified class.
postDelete(E) - Method in class elki.index.tree.IndexTree: Performs necessary operations after deleting the specified entry.
postDelete(RdKNNEntry) - Method in class elki.index.tree.spatial.rstarvariants.rdknn.RdKNNTree: Performs necessary operations after deleting the specified object.
postfixLen(String, String, int) - Static method in class elki.distance.strings.LevenshteinDistance: Compute the postfix length.
POW5_INT - Static variable in class elki.utilities.datastructures.BitsUtil: Precomputed powers of 5 for pow5, pow10 on the bit representation.
POWER_ID - Static variable in class elki.evaluation.clustering.internal.DaviesBouldinIndex.Par: Power exponent p.
powi(double, int) - Static method in class elki.math.MathUtil: Delegate to FastMath.powFast
pq - Variable in class elki.index.tree.metrical.covertree.CoverTree.CoverTreeKNNSearcher: Priority queue of candidates.
pq - Variable in class elki.index.tree.metrical.covertree.CoverTree.CoverTreePrioritySearcher: Priority queue
pq - Variable in class elki.index.tree.metrical.covertree.SimplifiedCoverTree.CoverTreeKNNSearcher: Priority queue of candidates.
pq - Variable in class elki.index.tree.metrical.covertree.SimplifiedCoverTree.CoverTreePrioritySearcher: Priority queue
pq - Variable in class elki.index.tree.spatial.rstarvariants.query.EuclideanRStarTreeDistancePrioritySearcher: Priority queue
pq - Variable in class elki.index.tree.spatial.rstarvariants.query.RStarTreeDistancePrioritySearcher: Priority queue
PRAUC_LABEL - Static variable in class elki.evaluation.outlier.OutlierPrecisionRecallCurve: AUC value for PR curve
PRCurve() - Constructor for class elki.evaluation.scores.AUPRCEvaluation.PRCurve: Constructor.
PreallocatedException(String) - Constructor for exception elki.utilities.io.ParseUtil.PreallocatedException: Constructor.
precision() - Method in class elki.evaluation.clustering.BCubed: Get the BCubed Precision (first clustering) (normalized, 0 = unequal)
precision() - Method in class elki.evaluation.clustering.PairCounting: Computes the pair-counting precision.
PRECISION - Static variable in class elki.math.geodesy.AbstractEarthModel: Maximum desired precision.
PRECISION - Static variable in class elki.math.geodesy.SphereUtil: Maximum desired precision.
PRECISION - Static variable in class elki.math.statistics.dependence.SlopeDependence: Full precision.
PRECISION_OVERFLOW - Static variable in class elki.utilities.io.ParseUtil: Preallocated exceptions.
PrecisionAtKCurve(int) - Constructor for class elki.evaluation.outlier.OutlierPrecisionAtKCurve.PrecisionAtKCurve: Constructor.
PrecisionAtKEvaluation - Class in elki.evaluation.scores: Evaluate using Precision@k, or R-precision (when k=0).
PrecisionAtKEvaluation(int) - Constructor for class elki.evaluation.scores.PrecisionAtKEvaluation: Constructor.
PrecisionAtKEvaluation.Par - Class in elki.evaluation.scores: Parameterization class.
precomputed() - Method in class elki.database.query.QueryBuilder: Indicate that the almost all pairwise distances / each objects knn will be used multiple times, and results should be precomputed and cached.
PrecomputedDistanceMatrix<O> - Class in elki.index.distancematrix: Distance matrix, for precomputing similarity for a small data set.
PrecomputedDistanceMatrix(Relation<O>, DBIDRange, Distance<? super O>) - Constructor for class elki.index.distancematrix.PrecomputedDistanceMatrix: Constructor.
PrecomputedDistanceMatrix.Factory<O> - Class in elki.index.distancematrix: Factory for the index.
PrecomputedDistanceMatrix.PrecomputedDistancePrioritySearcher - Class in elki.index.distancematrix: Range query using the distance matrix.
PrecomputedDistanceMatrix.PrecomputedDistanceQuery - Class in elki.index.distancematrix: Distance query using the precomputed matrix.
PrecomputedDistanceMatrix.PrecomputedKNNQuery - Class in elki.index.distancematrix: kNN query using the distance matrix.
PrecomputedDistanceMatrix.PrecomputedRangeQuery - Class in elki.index.distancematrix: Range query using the distance matrix.
PrecomputedDistancePrioritySearcher() - Constructor for class elki.index.distancematrix.PrecomputedDistanceMatrix.PrecomputedDistancePrioritySearcher
PrecomputedDistanceQuery() - Constructor for class elki.index.distancematrix.PrecomputedDistanceMatrix.PrecomputedDistanceQuery
PrecomputeDistancesAsciiApplication<O> - Class in elki.application.cache: Application to precompute pairwise distances into an ascii file.
PrecomputeDistancesAsciiApplication(Database, Distance<? super O>, Path) - Constructor for class elki.application.cache.PrecomputeDistancesAsciiApplication: Constructor.
PrecomputeDistancesAsciiApplication.Par<O> - Class in elki.application.cache: Parameterization class.
PrecomputedKNearestNeighborNeighborhood - Class in elki.outlier.spatial.neighborhood: Neighborhoods based on k nearest neighbors.
PrecomputedKNearestNeighborNeighborhood(DataStore<DBIDs>) - Constructor for class elki.outlier.spatial.neighborhood.PrecomputedKNearestNeighborNeighborhood: Constructor.
PrecomputedKNearestNeighborNeighborhood.Factory<O> - Class in elki.outlier.spatial.neighborhood: Factory class to instantiate for a particular relation.
PrecomputedKNNQuery() - Constructor for class elki.index.distancematrix.PrecomputedDistanceMatrix.PrecomputedKNNQuery
PrecomputedRangeQuery() - Constructor for class elki.index.distancematrix.PrecomputedDistanceMatrix.PrecomputedRangeQuery
PrecomputedSimilarityMatrix<O> - Class in elki.index.distancematrix: Precomputed similarity matrix, for a small data set.
PrecomputedSimilarityMatrix(Relation<O>, Similarity<? super O>) - Constructor for class elki.index.distancematrix.PrecomputedSimilarityMatrix: Constructor.
PrecomputedSimilarityMatrix.Factory<O> - Class in elki.index.distancematrix: Factory for the index.
PrecomputedSimilarityMatrix.PrecomputedSimilarityQuery - Class in elki.index.distancematrix: Similarity query using the precomputed matrix.
PrecomputedSimilarityMatrix.PrecomputedSimilarityRangeQuery - Class in elki.index.distancematrix: Range query using the distance matrix.
PrecomputedSimilarityQuery() - Constructor for class elki.index.distancematrix.PrecomputedSimilarityMatrix.PrecomputedSimilarityQuery
PrecomputedSimilarityRangeQuery() - Constructor for class elki.index.distancematrix.PrecomputedSimilarityMatrix.PrecomputedSimilarityRangeQuery
precomputeInterestingRadii(DBIDs, RangeSearcher<DBIDRef>, WritableDataStore<LOCI.DoubleIntArrayList>) - Method in class elki.outlier.lof.LOCI: Preprocessing step: determine the radii of interest for each point.
precomputeLogs(int) - Method in class elki.math.statistics.intrinsicdimensionality.GEDEstimator: Grow the log[i] cache.
predecessor - Variable in class elki.clustering.optics.ClusterOrder: Predecessor storage.
predecessor - Variable in class elki.clustering.optics.GeneralizedOPTICS.Instance: Predecessor storage.
predecessor - Variable in class elki.clustering.optics.OPTICSList.Instance: Predecessor storage.
predecessorFilter(ClusterOrder, int, int, DBIDArrayIter) - Static method in class elki.clustering.optics.OPTICSXi: Filtering step to remove bad tailing points from the clusters.
predecessorID - Variable in class elki.clustering.optics.OPTICSHeapEntry: The id of the entry's predecessor.
PreDeCon - Class in elki.clustering.subspace: PreDeCon computes clusters of subspace preference weighted connected points.
PreDeCon(PreDeCon.Settings) - Constructor for class elki.clustering.subspace.PreDeCon: Constructor.
PreDeCon.Par - Class in elki.clustering.subspace: Parameterization class.
PreDeCon.Settings - Class in elki.clustering.subspace: Class containing all the PreDeCon settings.
PreDeCon.Settings.Par - Class in elki.clustering.subspace: Parameterization class.
PreDeConCorePredicate - Class in elki.clustering.dbscan.predicates: The PreDeCon core point predicate -- having at least minpts. neighbors, and a maximum preference dimensionality of lambda.
PreDeConCorePredicate(PreDeCon.Settings) - Constructor for class elki.clustering.dbscan.predicates.PreDeConCorePredicate: Default constructor.
PreDeConCorePredicate.Instance - Class in elki.clustering.dbscan.predicates: Instance for a particular data set.
PreDeConCorePredicate.Par - Class in elki.clustering.dbscan.predicates: Parameterization class
PreDeConModel(int, SetDBIDs) - Constructor for class elki.clustering.dbscan.predicates.PreDeConNeighborPredicate.PreDeConModel: PreDeCon model.
PreDeConNeighborPredicate - Class in elki.clustering.dbscan.predicates: Neighborhood predicate used by PreDeCon.
PreDeConNeighborPredicate(PreDeCon.Settings) - Constructor for class elki.clustering.dbscan.predicates.PreDeConNeighborPredicate: Constructor.
PreDeConNeighborPredicate.Instance - Class in elki.clustering.dbscan.predicates: Instance for a particular data set.
PreDeConNeighborPredicate.Par - Class in elki.clustering.dbscan.predicates: Parameterization class.
PreDeConNeighborPredicate.PreDeConModel - Class in elki.clustering.dbscan.predicates: Model used by PreDeCon for core point property.
Predefined - Class in elki.clustering.kmeans.initialization: Run k-means with prespecified initial means.
Predefined(double[][]) - Constructor for class elki.clustering.kmeans.initialization.Predefined: Constructor.
Predefined.Par - Class in elki.clustering.kmeans.initialization: Parameterization class.
predicate - Variable in class elki.clustering.dbscan.parallel.ParallelGeneralizedDBSCAN.Instance.Mapper: Neighbor predicate.
predict(DataSet, int) - Method in class elki.svm.model.ClassificationModel
predict(DataSet, int) - Method in class elki.svm.model.RegressionModel
predict(DataSet, int, double[]) - Method in class elki.svm.model.ClassificationModel
predict(DataSet, int, double[]) - Method in class elki.svm.model.RegressionModel
predict_prob(DataSet, int, double[]) - Method in class elki.svm.model.ProbabilisticClassificationModel
prediction - Variable in class elki.classification.PriorProbabilityClassifier: Index of the most abundant class.
preDistance(double[], double[], int, int) - Method in class elki.distance.minkowski.SquaredEuclideanDistance
preDistance(NumberVector, NumberVector, int, int) - Method in class elki.distance.minkowski.EuclideanDistance
preDistance(NumberVector, NumberVector, int, int) - Method in class elki.distance.minkowski.LPIntegerNormDistance: Compute unscaled distance in a range of dimensions.
preDistance(NumberVector, NumberVector, int, int) - Method in class elki.distance.minkowski.LPNormDistance: Compute unscaled distance in a range of dimensions.
preDistance(NumberVector, NumberVector, int, int) - Method in class elki.distance.minkowski.ManhattanDistance
preDistance(NumberVector, NumberVector, int, int) - Method in class elki.distance.minkowski.MaximumDistance
preDistance(NumberVector, NumberVector, int, int) - Method in class elki.distance.minkowski.SquaredEuclideanDistance
preDistance(NumberVector, NumberVector, int, int) - Method in class elki.distance.minkowski.WeightedEuclideanDistance
preDistance(NumberVector, NumberVector, int, int) - Method in class elki.distance.minkowski.WeightedLPNormDistance
preDistance(NumberVector, NumberVector, int, int) - Method in class elki.distance.minkowski.WeightedManhattanDistance
preDistance(NumberVector, NumberVector, int, int) - Method in class elki.distance.minkowski.WeightedMaximumDistance
preDistanceMBR(SpatialComparable, SpatialComparable, int, int) - Method in class elki.distance.minkowski.EuclideanDistance
preDistanceMBR(SpatialComparable, SpatialComparable, int, int) - Method in class elki.distance.minkowski.LPIntegerNormDistance: Compute unscaled distance in a range of dimensions.
preDistanceMBR(SpatialComparable, SpatialComparable, int, int) - Method in class elki.distance.minkowski.LPNormDistance: Compute unscaled distance in a range of dimensions.
preDistanceMBR(SpatialComparable, SpatialComparable, int, int) - Method in class elki.distance.minkowski.ManhattanDistance
preDistanceMBR(SpatialComparable, SpatialComparable, int, int) - Method in class elki.distance.minkowski.MaximumDistance
preDistanceMBR(SpatialComparable, SpatialComparable, int, int) - Method in class elki.distance.minkowski.SquaredEuclideanDistance
preDistanceMBR(SpatialComparable, SpatialComparable, int, int) - Method in class elki.distance.minkowski.WeightedEuclideanDistance
preDistanceMBR(SpatialComparable, SpatialComparable, int, int) - Method in class elki.distance.minkowski.WeightedLPNormDistance
preDistanceMBR(SpatialComparable, SpatialComparable, int, int) - Method in class elki.distance.minkowski.WeightedManhattanDistance
preDistanceMBR(SpatialComparable, SpatialComparable, int, int) - Method in class elki.distance.minkowski.WeightedMaximumDistance
preDistanceVM(NumberVector, SpatialComparable, int, int) - Method in class elki.distance.minkowski.EuclideanDistance
preDistanceVM(NumberVector, SpatialComparable, int, int) - Method in class elki.distance.minkowski.LPIntegerNormDistance: Compute unscaled distance in a range of dimensions.
preDistanceVM(NumberVector, SpatialComparable, int, int) - Method in class elki.distance.minkowski.LPNormDistance: Compute unscaled distance in a range of dimensions.
preDistanceVM(NumberVector, SpatialComparable, int, int) - Method in class elki.distance.minkowski.ManhattanDistance
preDistanceVM(NumberVector, SpatialComparable, int, int) - Method in class elki.distance.minkowski.MaximumDistance
preDistanceVM(NumberVector, SpatialComparable, int, int) - Method in class elki.distance.minkowski.SquaredEuclideanDistance
preDistanceVM(NumberVector, SpatialComparable, int, int) - Method in class elki.distance.minkowski.WeightedEuclideanDistance
preDistanceVM(NumberVector, SpatialComparable, int, int) - Method in class elki.distance.minkowski.WeightedLPNormDistance
preDistanceVM(NumberVector, SpatialComparable, int, int) - Method in class elki.distance.minkowski.WeightedManhattanDistance
preDistanceVM(NumberVector, SpatialComparable, int, int) - Method in class elki.distance.minkowski.WeightedMaximumDistance
PREFER_GTK - Static variable in class elki.gui.GUIUtil: Whether to prefer the GTK look and feel on Unix.
PreferenceComparator() - Constructor for class tutorial.clustering.SameSizeKMeans.PreferenceComparator
preferenceVectors - Variable in class elki.clustering.subspace.DiSH.Instance: The precomputed preference vectors.
preferenceVectors - Variable in class elki.clustering.subspace.HiSC.Instance: The data store.
prefix - Variable in class elki.index.preprocessed.knn.NNDescent: Log prefix.
prefix - Variable in class elki.utilities.ELKIServiceScanner.DirClassIterator
prefix - Variable in class elki.visualization.style.marker.PrettyMarkers: Prefix for the IDs generated.
prefix() - Method in annotation type elki.utilities.documentation.Reference: Prefix to the reference, e.g., "Generalization of a method proposed in".
PREFIX - Static variable in class elki.algorithm.statistics.DistanceQuantileSampler: Statistics prefix.
PREFIX - Variable in class elki.algorithm.statistics.EvaluateRetrievalPerformance: Prefix for statistics.
PREFIX - Static variable in class elki.evaluation.clustering.LogClusterSizes: Prefix for logged statistics.
PREFIX - Static variable in class elki.index.preprocessed.fastoptics.RandomProjectedNeighborsAndDensities: Statistics logging prefix.
prefixLen(String, String) - Static method in class elki.distance.strings.LevenshteinDistance: Compute the length of the prefix.
prefixParametersToMessage(Parameter<?>, String, Parameter<?>, String) - Static method in exception elki.utilities.optionhandling.ParameterException: Prefix parameters to error message.
prefixParameterToMessage(Parameter<?>, String) - Static method in exception elki.utilities.optionhandling.ParameterException: Prefix parameter information to error message.
prefixTest(SparseItemset) - Method in class elki.itemsetmining.SparseItemset: Perform the prefix test for sparse itemset.
preInsert(E) - Method in class elki.index.tree.IndexTree: Performs necessary operations before inserting the specified entry.
preInsert(MkAppEntry) - Method in class elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppTree
preInsert(MkCoPEntry) - Method in class elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPTree
preInsert(MkMaxEntry) - Method in class 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 elki.index.tree.metrical.mtreevariants.mktrees.mkmax.MkMaxTree: Adapts the knn distances before insertion of entry q.
preInsert(MkTabEntry) - Method in class elki.index.tree.metrical.mtreevariants.mktrees.mktab.MkTabTree
preInsert(MTreeEntry) - Method in class elki.index.tree.metrical.mtreevariants.mtree.MTree: Does nothing because no operations are necessary before inserting an entry.
preInsert(RdKNNEntry) - Method in class elki.index.tree.spatial.rstarvariants.rdknn.RdKNNTree: Performs necessary operations before inserting the specified entry.
preInsert(RdKNNEntry, RdKNNEntry, KNNHeap) - Method in class elki.index.tree.spatial.rstarvariants.rdknn.RdKNNTree: Adapts the knn distances before insertion of entry q.
prenderer - Variable in class elki.visualization.parallel3d.OpenGL3DParallelCoordinates.Instance: 3D parallel coordinates renderer.
preNorm(double[], int, int) - Method in class elki.distance.minkowski.SquaredEuclideanDistance
preNorm(NumberVector, int, int) - Method in class elki.distance.minkowski.EuclideanDistance
preNorm(NumberVector, int, int) - Method in class elki.distance.minkowski.LPIntegerNormDistance: Compute unscaled norm in a range of dimensions.
preNorm(NumberVector, int, int) - Method in class elki.distance.minkowski.LPNormDistance: Compute unscaled norm in a range of dimensions.
preNorm(NumberVector, int, int) - Method in class elki.distance.minkowski.ManhattanDistance
preNorm(NumberVector, int, int) - Method in class elki.distance.minkowski.MaximumDistance
preNorm(NumberVector, int, int) - Method in class elki.distance.minkowski.SquaredEuclideanDistance
preNorm(NumberVector, int, int) - Method in class elki.distance.minkowski.WeightedEuclideanDistance
preNorm(NumberVector, int, int) - Method in class elki.distance.minkowski.WeightedLPNormDistance
preNorm(NumberVector, int, int) - Method in class elki.distance.minkowski.WeightedManhattanDistance
preNorm(NumberVector, int, int) - Method in class elki.distance.minkowski.WeightedMaximumDistance
preNormMBR(SpatialComparable, int, int) - Method in class elki.distance.minkowski.EuclideanDistance
preNormMBR(SpatialComparable, int, int) - Method in class elki.distance.minkowski.LPIntegerNormDistance: Compute unscaled norm in a range of dimensions.
preNormMBR(SpatialComparable, int, int) - Method in class elki.distance.minkowski.LPNormDistance: Compute unscaled norm in a range of dimensions.
preNormMBR(SpatialComparable, int, int) - Method in class elki.distance.minkowski.ManhattanDistance
preNormMBR(SpatialComparable, int, int) - Method in class elki.distance.minkowski.MaximumDistance
preNormMBR(SpatialComparable, int, int) - Method in class elki.distance.minkowski.SquaredEuclideanDistance
preNormMBR(SpatialComparable, int, int) - Method in class elki.distance.minkowski.WeightedEuclideanDistance
preNormMBR(SpatialComparable, int, int) - Method in class elki.distance.minkowski.WeightedLPNormDistance
preNormMBR(SpatialComparable, int, int) - Method in class elki.distance.minkowski.WeightedManhattanDistance
preNormMBR(SpatialComparable, int, int) - Method in class elki.distance.minkowski.WeightedMaximumDistance
PREPARATION - elki.visualization.parallel3d.OpenGL3DParallelCoordinates.Instance.State
prepare(A, NumberArrayAdapter<?, A>) - Method in class elki.utilities.scaling.outlier.COPOutlierScaling
prepare(A, NumberArrayAdapter<?, A>) - Method in class elki.utilities.scaling.outlier.HeDESNormalizationOutlierScaling
prepare(A, NumberArrayAdapter<?, A>) - Method in class elki.utilities.scaling.outlier.LogRankingPseudoOutlierScaling
prepare(A, NumberArrayAdapter<?, A>) - Method in class elki.utilities.scaling.outlier.MixtureModelOutlierScaling
prepare(A, NumberArrayAdapter<?, A>) - Method in class elki.utilities.scaling.outlier.MultiplicativeInverseScaling
prepare(A, NumberArrayAdapter<?, A>) - Method in class elki.utilities.scaling.outlier.OutlierGammaScaling
prepare(A, NumberArrayAdapter<?, A>) - Method in class elki.utilities.scaling.outlier.OutlierLinearScaling
prepare(A, NumberArrayAdapter<?, A>) - Method in class elki.utilities.scaling.outlier.OutlierMinusLogScaling
prepare(A, NumberArrayAdapter<?, A>) - Method in interface elki.utilities.scaling.outlier.OutlierScaling: Prepare is called once for each data set, before getScaled() will be called.
prepare(A, NumberArrayAdapter<?, A>) - Method in class elki.utilities.scaling.outlier.OutlierSqrtScaling
prepare(A, NumberArrayAdapter<?, A>) - Method in class elki.utilities.scaling.outlier.RankingPseudoOutlierScaling
prepare(A, NumberArrayAdapter<?, A>) - Method in class elki.utilities.scaling.outlier.SigmoidOutlierScaling
prepare(A, NumberArrayAdapter<?, A>) - Method in class elki.utilities.scaling.outlier.SqrtStandardDeviationScaling
prepare(A, NumberArrayAdapter<?, A>) - Method in class elki.utilities.scaling.outlier.StandardDeviationScaling
prepare(A, NumberArrayAdapter<?, A>) - Method in class elki.utilities.scaling.outlier.TopKOutlierScaling
prepare(OutlierResult) - Method in class elki.utilities.scaling.outlier.COPOutlierScaling
prepare(OutlierResult) - Method in class elki.utilities.scaling.outlier.HeDESNormalizationOutlierScaling
prepare(OutlierResult) - Method in class elki.utilities.scaling.outlier.LogRankingPseudoOutlierScaling
prepare(OutlierResult) - Method in class elki.utilities.scaling.outlier.MinusLogGammaScaling
prepare(OutlierResult) - Method in class elki.utilities.scaling.outlier.MinusLogStandardDeviationScaling
prepare(OutlierResult) - Method in class elki.utilities.scaling.outlier.MixtureModelOutlierScaling
prepare(OutlierResult) - Method in class elki.utilities.scaling.outlier.MultiplicativeInverseScaling
prepare(OutlierResult) - Method in class elki.utilities.scaling.outlier.OutlierGammaScaling
prepare(OutlierResult) - Method in class elki.utilities.scaling.outlier.OutlierLinearScaling
prepare(OutlierResult) - Method in class elki.utilities.scaling.outlier.OutlierMinusLogScaling
prepare(OutlierResult) - Method in interface elki.utilities.scaling.outlier.OutlierScaling: Prepare is called once for each data set, before getScaled() will be called.
prepare(OutlierResult) - Method in class elki.utilities.scaling.outlier.OutlierSqrtScaling
prepare(OutlierResult) - Method in class elki.utilities.scaling.outlier.RankingPseudoOutlierScaling
prepare(OutlierResult) - Method in class elki.utilities.scaling.outlier.SigmoidOutlierScaling
prepare(OutlierResult) - Method in class elki.utilities.scaling.outlier.SqrtStandardDeviationScaling
prepare(OutlierResult) - Method in class elki.utilities.scaling.outlier.StandardDeviationScaling
prepare(OutlierResult) - Method in class elki.utilities.scaling.outlier.TopKOutlierScaling
prepare(GL2) - Method in class elki.visualization.parallel3d.Parallel3DRenderer
prepareColors(StylingPolicy) - Method in class elki.visualization.parallel3d.Parallel3DRenderer
prepareComplete() - Method in class elki.datasource.filter.AbstractConversionFilter: Complete the initialization phase.
prepareComplete() - Method in class elki.datasource.filter.normalization.columnwise.AttributeWiseMeanNormalization
prepareComplete() - Method in class elki.datasource.filter.normalization.columnwise.AttributeWiseVarianceNormalization
prepareComplete() - Method in class elki.datasource.filter.normalization.columnwise.InverseDocumentFrequencyNormalization
prepareComplete() - Method in class elki.datasource.filter.transform.GlobalPrincipalComponentAnalysisTransform
prepareComplete() - Method in class elki.datasource.filter.transform.PerturbationFilter
prepareProcessInstance(I) - Method in class elki.datasource.filter.AbstractConversionFilter: Process a single object during initialization.
prepareProcessInstance(O) - Method in class elki.datasource.filter.transform.GlobalPrincipalComponentAnalysisTransform
prepareProcessInstance(V) - Method in class elki.datasource.filter.normalization.columnwise.AttributeWiseMeanNormalization
prepareProcessInstance(V) - Method in class elki.datasource.filter.normalization.columnwise.AttributeWiseMinMaxNormalization
prepareProcessInstance(V) - Method in class elki.datasource.filter.normalization.columnwise.AttributeWiseVarianceNormalization
prepareProcessInstance(V) - Method in class elki.datasource.filter.normalization.columnwise.InverseDocumentFrequencyNormalization
prepareProcessInstance(V) - Method in class elki.datasource.filter.transform.PerturbationFilter
prepareProcessInstance(V) - Method in class elki.datasource.filter.typeconversions.SparseVectorFieldFilter
prepareStart(SimpleTypeInformation) - Method in class elki.datasource.filter.AbstractConversionFilter: Return "true" when the normalization needs initialization (two-pass filtering!).
prepareStart(SimpleTypeInformation<O>) - Method in class elki.datasource.filter.transform.GlobalPrincipalComponentAnalysisTransform
prepareStart(SimpleTypeInformation<V>) - Method in class elki.datasource.filter.normalization.columnwise.AttributeWiseMeanNormalization
prepareStart(SimpleTypeInformation<V>) - Method in class elki.datasource.filter.normalization.columnwise.AttributeWiseMinMaxNormalization
prepareStart(SimpleTypeInformation<V>) - Method in class elki.datasource.filter.normalization.columnwise.AttributeWiseVarianceNormalization
prepareStart(SimpleTypeInformation<V>) - Method in class elki.datasource.filter.normalization.columnwise.InverseDocumentFrequencyNormalization
prepareStart(SimpleTypeInformation<V>) - Method in class elki.datasource.filter.transform.PerturbationFilter
prepareStart(SimpleTypeInformation<V>) - Method in class elki.datasource.filter.typeconversions.SparseVectorFieldFilter
preprocess() - Method in class elki.index.preprocessed.knn.AbstractMaterializeKNNPreprocessor: Perform the preprocessing step.
preprocess() - Method in class elki.index.preprocessed.knn.CachedDoubleDistanceKNNPreprocessor
preprocess() - Method in class elki.index.preprocessed.knn.KNNJoinMaterializeKNNPreprocessor
preprocess() - Method in class elki.index.preprocessed.knn.MaterializeKNNAndRKNNPreprocessor
preprocess() - Method in class elki.index.preprocessed.knn.MaterializeKNNPreprocessor: The actual preprocessing step.
preprocess() - Method in class elki.index.preprocessed.knn.MetricalIndexApproximationMaterializeKNNPreprocessor
preprocess() - Method in class elki.index.preprocessed.knn.NaiveProjectedKNNPreprocessor
preprocess() - Method in class elki.index.preprocessed.knn.NNDescent
preprocess() - Method in class elki.index.preprocessed.knn.PartitionApproximationMaterializeKNNPreprocessor
preprocess() - Method in class elki.index.preprocessed.knn.RandomSampleKNNPreprocessor
preprocess() - Method in class elki.index.preprocessed.knn.SpacefillingKNNPreprocessor
preprocess() - Method in class elki.index.preprocessed.knn.SpacefillingMaterializeKNNPreprocessor
preprocess() - Method in class elki.index.preprocessed.knn.SpatialApproximationMaterializeKNNPreprocessor
preprocess(Relation<? extends NumberVector>) - Method in class elki.clustering.correlation.CASH: Preprocess the dataset, precomputing the parameterization functions.
preprocess(Class<? super M>, Relation<? extends O>, RangeSearcher<DBIDRef>) - Method in class elki.clustering.dbscan.predicates.AbstractRangeQueryNeighborPredicate: Perform the preprocessing step.
preprocessor - Variable in class elki.database.query.knn.PreprocessorKNNQuery: The last preprocessor result
preprocessor - Variable in class elki.database.query.rknn.PreprocessorRKNNQuery: The last preprocessor result
PreprocessorKNNQuery - Class in elki.database.query.knn: Use precomputed kNN.
PreprocessorKNNQuery(Relation<?>, AbstractMaterializeKNNPreprocessor<?>) - Constructor for class elki.database.query.knn.PreprocessorKNNQuery: Constructor.
PreprocessorRKNNQuery<O> - Class in elki.database.query.rknn: Instance for a particular database, invoking the preprocessor.
PreprocessorRKNNQuery(Relation<O>, MaterializeKNNAndRKNNPreprocessor.Factory<O>) - Constructor for class elki.database.query.rknn.PreprocessorRKNNQuery: Constructor.
PreprocessorRKNNQuery(Relation<O>, MaterializeKNNAndRKNNPreprocessor<O>) - Constructor for class elki.database.query.rknn.PreprocessorRKNNQuery: Constructor.
PreprocessorSqrtKNNQuery - Class in elki.database.query.knn: Use the square rooted values of precomputed kNN.
PreprocessorSqrtKNNQuery(Relation<?>, AbstractMaterializeKNNPreprocessor<?>) - Constructor for class elki.database.query.knn.PreprocessorSqrtKNNQuery: Constructor.
PreprocessorSquaredKNNQuery - Class in elki.database.query.knn: Use the squared values of precomputed kNN.
PreprocessorSquaredKNNQuery(Relation<?>, AbstractMaterializeKNNPreprocessor<?>) - Constructor for class elki.database.query.knn.PreprocessorSquaredKNNQuery: Constructor.
preScale(double) - Method in class elki.utilities.scaling.outlier.MinusLogGammaScaling
preScale(double) - Method in class elki.utilities.scaling.outlier.OutlierGammaScaling: Normalize data if necessary.
prescaling - Variable in class elki.application.greedyensemble.GreedyEnsembleExperiment.Par: Outlier scaling to apply during preprocessing.
prescaling - Variable in class elki.application.greedyensemble.GreedyEnsembleExperiment: Outlier scaling to apply during preprocessing.
prescaling - Variable in class elki.application.greedyensemble.VisualizePairwiseGainMatrix.Par: Outlier scaling to apply during preprocessing.
prescaling - Variable in class elki.application.greedyensemble.VisualizePairwiseGainMatrix: Outlier scaling to apply during preprocessing.
PRESCALING_ID - Static variable in class elki.application.greedyensemble.GreedyEnsembleExperiment.Par: Scaling to apply to input scores.
PresortedBlindJoinDatabaseConnection - Class in elki.datasource: Joins multiple data sources by their existing order.
PresortedBlindJoinDatabaseConnection(List<? extends ObjectFilter>, List<? extends DatabaseConnection>) - Constructor for class elki.datasource.PresortedBlindJoinDatabaseConnection: Constructor.
PresortedBlindJoinDatabaseConnection.Par - Class in elki.datasource: Parameterization class.
PrettyMarkers - Class in elki.visualization.style.marker: Marker library achieving a larger number of styles by combining different shapes with different colors.
PrettyMarkers(StyleLibrary) - Constructor for class elki.visualization.style.marker.PrettyMarkers: Constructor without prefix argument, will use PrettyMarkers.DEFAULT_PREFIX as prefix.
PrettyMarkers(String, StyleLibrary) - Constructor for class elki.visualization.style.marker.PrettyMarkers: Constructor
prev - Variable in class elki.database.ids.integer.FastutilIntOpenHashSetModifiableDBIDs.Itr: Current value.
prev - Variable in class elki.evaluation.scores.adapter.OutlierScoreAdapter: Previous value.
prev - Variable in class elki.visualization.batikutil.NodeSubstitute: Existing element to replace.
prev(int) - Method in class elki.svm.qmatrix.CachedQMatrix: Get the previous element in the LRU chain.
prevDist - Variable in class elki.evaluation.scores.adapter.DistanceResultAdapter: Distance of previous.
previousClearBit(long[], int) - Static method in class elki.utilities.datastructures.BitsUtil: Find the previous clear bit.
previousClearBit(long, int) - Static method in class elki.utilities.datastructures.BitsUtil: Find the previous clear bit.
previousSetBit(long[], int) - Static method in class elki.utilities.datastructures.BitsUtil: Find the previous set bit.
previousSetBit(long, int) - Static method in class elki.utilities.datastructures.BitsUtil: Find the previous set bit.
prevvartotal - Variable in class elki.clustering.kmeans.KMeansMinusMinus.Instance: Variance of the previous iteration
PRGCEvaluation - Class in elki.evaluation.scores: Compute the area under the precision-recall-gain curve
PRGCEvaluation() - Constructor for class elki.evaluation.scores.PRGCEvaluation
PRGCEvaluation.Par - Class in elki.evaluation.scores: Parameterization class.
PRGCEvaluation.PRGCurve - Class in elki.evaluation.scores: Precision-Recall-Gain curve.
PRGCurve() - Constructor for class elki.evaluation.scores.PRGCEvaluation.PRGCurve: Constructor.
primary - Variable in class tutorial.clustering.SameSizeKMeans.Meta: Indexes: primary assignment (current or best), secondary assignment (second best or worst).
Primes - Class in elki.math: Class for prime number handling.
Primes() - Constructor for class elki.math.Primes: Pseudo constructor.
PrimitiveDistance<O> - Interface in elki.distance: Primitive distance function that is defined on some kind of object.
PrimitiveDistanceQuery<O> - Class in elki.database.query.distance: Run a database query in a database context.
PrimitiveDistanceQuery(Relation<? extends O>, PrimitiveDistance<? super O>) - Constructor for class elki.database.query.distance.PrimitiveDistanceQuery: Constructor.
PrimitiveDistanceSimilarityQuery<O> - Class in elki.database.query.distance: Combination query class, for convenience.
PrimitiveDistanceSimilarityQuery(Relation<? extends O>, PrimitiveDistance<? super O>, PrimitiveSimilarity<? super O>) - Constructor for class elki.database.query.distance.PrimitiveDistanceSimilarityQuery: Constructor.
PrimitiveSimilarity<O> - Interface in elki.similarity: Interface Similarity describes the requirements of any similarity function.
PrimitiveSimilarityQuery<O> - Class in elki.database.query.similarity: Run a database query in a database context.
PrimitiveSimilarityQuery(Relation<? extends O>, PrimitiveSimilarity<? super O>) - Constructor for class elki.database.query.similarity.PrimitiveSimilarityQuery: Constructor.
PrimsMinimumSpanningTree - Class in elki.math.geometry: Prim's algorithm for finding the minimum spanning tree.
PrimsMinimumSpanningTree() - Constructor for class elki.math.geometry.PrimsMinimumSpanningTree
PrimsMinimumSpanningTree.Adapter<T> - Interface in elki.math.geometry: Adapter interface to allow use with different data representations.
PrimsMinimumSpanningTree.Array2DAdapter - Class in elki.math.geometry: Adapter for a simple 2d double matrix.
PrimsMinimumSpanningTree.Collector - Interface in elki.math.geometry: Interface for collecting edges.
printDebug(StringBuilder, ClusteringFeature, int) - Method in class elki.clustering.hierarchical.birch.CFTree: Utility function for debugging.
printDebug(StringBuilder, ClusterFeature, int) - Static method in class elki.index.tree.betula.CFTree: Utility function for debugging.
printDescription(Class<?>) - Static method in class elki.application.AbstractApplication: Print the description for the given parameter
printErrorMessage(Exception) - Static method in class elki.application.AbstractApplication: Print an error message for the given error.
println(StringBuilder, int, String) - Static method in class elki.utilities.optionhandling.OptionUtil: Simple writing helper with no indentation.
printObject(TextWriterStream, Database, DBIDRef, List<Relation<?>>) - Method in class elki.result.textwriter.TextWriter
prior - Variable in class elki.clustering.em.BetulaGMM.Par
prior - Variable in class elki.clustering.em.BetulaGMM: Prior to enable MAP estimation (use 0 for MLE)
prior - Variable in class elki.clustering.em.EM.Par: Prior to enable MAP estimation (use 0 for MLE)
prior - Variable in class elki.clustering.em.EM: Prior to enable MAP estimation (use 0 for MLE)
prior - Variable in class elki.outlier.clustering.EMOutlier.Par: Prior to enable MAP estimation (use 0 for MLE)
prior - Variable in class elki.outlier.clustering.EMOutlier: Prior to enable MAP estimation (use 0 for MLE)
PRIOR_ID - Static variable in class elki.clustering.em.BetulaGMM.Par: Parameter to specify the MAP prior
PRIOR_ID - Static variable in class elki.clustering.em.EM.Par: Parameter to specify the MAP prior
priordiag - Variable in class elki.clustering.em.models.DiagonalGaussianModel: Diagonal prior variances.
priority() - Method in class elki.clustering.correlation.cash.CASHInterval: Returns the priority of this interval (used as key in the heap).
priority() - Method in class tutorial.clustering.SameSizeKMeans.Meta: Priority / badness: difference between best and worst.
Priority - Annotation Type in elki.utilities: This annotation is used for sorting entries in the UIs.
PRIORITY - Static variable in class elki.visualization.batikutil.ThumbnailRegistryEntry: The priority of this entry.
priorityByDBID() - Method in class elki.database.query.QueryBuilder: Build a priority searcher.
priorityByDBID(double) - Method in class elki.database.query.QueryBuilder: Build a priority searcher.
priorityByDBID(DistanceQuery<O>, double, int) - Method in class elki.index.distancematrix.PrecomputedDistanceMatrix
priorityByDBID(DistanceQuery<O>, double, int) - Method in interface elki.index.DistancePriorityIndex: Get a priority search object.
priorityByDBID(DistanceQuery<O>, double, int) - Method in class elki.index.tree.metrical.covertree.CoverTree
priorityByDBID(DistanceQuery<O>, double, int) - Method in class elki.index.tree.metrical.covertree.SimplifiedCoverTree
priorityByDBID(DistanceQuery<O>, double, int) - Method in class elki.index.tree.metrical.vptree.GNAT
priorityByDBID(DistanceQuery<O>, double, int) - Method in class elki.index.tree.metrical.vptree.VPTree
priorityByDBID(Relation<? extends O>, DistanceQuery<O>, double, int) - Method in class elki.database.query.EmpiricalQueryOptimizer
priorityByDBID(Relation<? extends O>, DistanceQuery<O>, double, int) - Method in interface elki.database.query.QueryOptimizer: Optimize a distance priority search for this relation.
priorityByObject() - Method in class elki.database.query.QueryBuilder: Build a priority searcher.
priorityByObject(double) - Method in class elki.database.query.QueryBuilder: Build a priority searcher.
priorityByObject(DistanceQuery<O>, double, int) - Method in class elki.index.distancematrix.PrecomputedDistanceMatrix
priorityByObject(DistanceQuery<O>, double, int) - Method in interface elki.index.DistancePriorityIndex: Get a priority search object.
priorityByObject(DistanceQuery<O>, double, int) - Method in class elki.index.tree.metrical.covertree.CoverTree
priorityByObject(DistanceQuery<O>, double, int) - Method in class elki.index.tree.metrical.covertree.SimplifiedCoverTree
priorityByObject(DistanceQuery<O>, double, int) - Method in class elki.index.tree.metrical.vptree.GNAT
priorityByObject(DistanceQuery<O>, double, int) - Method in class elki.index.tree.metrical.vptree.VPTree
priorityByObject(DistanceQuery<O>, double, int) - Method in class elki.index.tree.spatial.kd.MemoryKDTree
priorityByObject(DistanceQuery<O>, double, int) - Method in class elki.index.tree.spatial.kd.MinimalisticMemoryKDTree
priorityByObject(DistanceQuery<O>, double, int) - Method in class elki.index.tree.spatial.kd.SmallMemoryKDTree
priorityByObject(DistanceQuery<O>, double, int) - Method in class elki.index.tree.spatial.rstarvariants.deliclu.DeLiCluTreeIndex
priorityByObject(DistanceQuery<O>, double, int) - Method in class elki.index.tree.spatial.rstarvariants.flat.FlatRStarTreeIndex
priorityByObject(DistanceQuery<O>, double, int) - Method in class elki.index.tree.spatial.rstarvariants.rdknn.RdKNNTree
priorityByObject(DistanceQuery<O>, double, int) - Method in class elki.index.tree.spatial.rstarvariants.rstar.RStarTreeIndex
priorityByObject(Relation<? extends O>, DistanceQuery<O>, double, int) - Method in class elki.database.query.EmpiricalQueryOptimizer
priorityByObject(Relation<? extends O>, DistanceQuery<O>, double, int) - Method in interface elki.database.query.QueryOptimizer: Optimize a distance priority search for this relation.
PrioritySearchBenchmark<O> - Class in elki.application.benchmark: Benchmarking experiment that computes the k nearest neighbors for each query point.
PrioritySearchBenchmark(InputStep, Distance<? super O>, int, DatabaseConnection, double, RandomFactory) - Constructor for class elki.application.benchmark.PrioritySearchBenchmark: Constructor.
PrioritySearchBranch(double, double[], Object) - Constructor for class elki.index.tree.spatial.kd.MemoryKDTree.PrioritySearchBranch: Constructor.
PrioritySearchBranch(double, int, int, int) - Constructor for class elki.index.tree.spatial.kd.MinimalisticMemoryKDTree.PrioritySearchBranch: Constructor.
PrioritySearchBranch(double, int, int, int) - Constructor for class elki.index.tree.spatial.kd.SmallMemoryKDTree.PrioritySearchBranch: Constructor.
PrioritySearchBranch(double, GNAT.Node, DBID) - Constructor for class elki.index.tree.metrical.vptree.GNAT.PrioritySearchBranch: Constructor.
PrioritySearcher<O> - Interface in elki.database.query: Distance priority-based searcher.
priormatrix - Variable in class elki.clustering.em.models.MultivariateGaussianModel: Matrix for prior conditioning.
priormatrix - Variable in class elki.clustering.em.models.TextbookMultivariateGaussianModel: Matrix for prior conditioning.
priormatrix - Variable in class elki.clustering.em.models.TwoPassMultivariateGaussianModel: Matrix for prior conditioning.
PriorProbabilityClassifier - Class in elki.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 elki.classification.PriorProbabilityClassifier: Constructor.
priorvar - Variable in class elki.clustering.em.models.SphericalGaussianModel: Prior variance.
priorvar - Variable in class elki.clustering.em.models.TextbookSphericalGaussianModel: Prior variance, for MAP estimation.
privateReconfigureLogging(String, String) - Method in class elki.logging.LoggingConfiguration: Reconfigure logging.
prob - Variable in class elki.datasource.filter.selection.RandomSamplingStreamFilter.Par: Probability
prob - Variable in class elki.datasource.filter.selection.RandomSamplingStreamFilter: Probability
PROB_ID - Static variable in class elki.datasource.filter.selection.RandomSamplingStreamFilter.Par: Option ID for sampling probability
PROB_ID - Static variable in class elki.math.statistics.distribution.PoissonDistribution.Par: Success probability.
probA - Variable in class elki.svm.model.ProbabilisticClassificationModel
probA - Variable in class elki.svm.model.ProbabilisticRegressionModel
ProbabilisticClassificationModel - Class in elki.svm.model
ProbabilisticClassificationModel() - Constructor for class elki.svm.model.ProbabilisticClassificationModel
ProbabilisticOutlierScore - Class in 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 elki.result.outlier.ProbabilisticOutlierScore: Default constructor.
ProbabilisticOutlierScore(double) - Constructor for class elki.result.outlier.ProbabilisticOutlierScore: Constructor with baseline only.
ProbabilisticOutlierScore(double, double) - Constructor for class elki.result.outlier.ProbabilisticOutlierScore: Constructor with actual values, and a baseline of 0.0
ProbabilisticOutlierScore(double, double, double) - Constructor for class elki.result.outlier.ProbabilisticOutlierScore: Full constructor.
ProbabilisticRegressionModel - Class in elki.svm.model
ProbabilisticRegressionModel(double[]) - Constructor for class elki.svm.model.ProbabilisticRegressionModel
probability - Variable in class elki.svm.AbstractSVC
probability - Variable in class elki.svm.AbstractSVR
ProbabilityWeightedMoments - Class in elki.math.statistics: Estimate the L-Moments of a sample.
ProbabilityWeightedMoments() - Constructor for class elki.math.statistics.ProbabilityWeightedMoments: Private constructor, use static methods!
probB - Variable in class elki.svm.model.ProbabilisticClassificationModel
probcol - Variable in class elki.datasource.filter.typeconversions.WeightedUncertainSplitFilter.Par: Column in which the probability is stored.
probcol - Variable in class elki.datasource.filter.typeconversions.WeightedUncertainSplitFilter: Column in which the probability is stored.
PROBCOL_ID - Static variable in class elki.datasource.filter.typeconversions.WeightedUncertainSplitFilter.Par: Parameter to specify where the probability is stored.
ProblemData(int) - Constructor for class elki.math.linearalgebra.ConstrainedQuadraticProblemSolver.ProblemData
process(double[], double, double, KernelDensityFunction, int, double) - Method in class elki.math.statistics.KernelDensityEstimator: Process a new array
process(DBIDRef, ArrayDBIDs, DBIDArrayIter, int, WritableDBIDDataStore, WritableDoubleDataStore, WritableDoubleDataStore) - Method in class elki.clustering.hierarchical.CLINK: CLINK main loop, based on the SLINK main loop.
process(DBIDRef, ArrayDBIDs, DBIDArrayIter, int, WritableDBIDDataStore, WritableDoubleDataStore, WritableDoubleDataStore) - Method in class elki.clustering.hierarchical.SLINK: SLINK main loop.
PROCESS_STOP - Static variable in class elki.gui.icons.StockIcon
processCluster(Cluster<?>, List<? extends Cluster<?>>, int, DistanceQuery<O>, DoubleHeap, DoubleHeap, int) - Method in class elki.evaluation.clustering.internal.CIndex
processColumnTypes(ArrayList<String>, ArrayList<String>, int[], TypeInformation[], int[]) - Method in class elki.datasource.parser.ArffParser: Process the column types (and names!)
processCorePoint(DBIDRef, DoubleDBIDList, int, WritableIntegerDataStore, ArrayModifiableDBIDs) - Method in class elki.clustering.dbscan.GriDBSCAN.Instance: Process a single core point.
processCorePoint(DBIDRef, T, int, WritableIntegerDataStore, ArrayModifiableDBIDs) - Method in class elki.clustering.dbscan.GeneralizedDBSCAN.Instance: Process a single core point.
processCovarMatrix(double[][]) - Method in class elki.math.linearalgebra.pca.PCARunner: Process an existing covariance Matrix.
processDataPages(SpatialPrimitiveDistance<?>, List<KNNHeap>, List<KNNHeap>, AbstractRStarTreeNode<?, ?>, AbstractRStarTreeNode<?, ?>) - Method in class elki.algorithm.KNNJoin: Processes the two data pages pr and ps and determines the k-nearest neighbors of pr in ps.
processDecomposition(EigenvalueDecomposition) - Static method in class elki.math.linearalgebra.pca.PCAResult: Convert an eigenvalue decomposition into EigenPair objects.
processDense(double[][]) - Static method in class elki.math.geometry.PrimsMinimumSpanningTree: Process a k x k distance matrix.
processDense(T, PrimsMinimumSpanningTree.Adapter<T>) - Static method in class elki.math.geometry.PrimsMinimumSpanningTree: Run Prim's algorithm on a dense graph.
processDense(T, PrimsMinimumSpanningTree.Adapter<T>, PrimsMinimumSpanningTree.Collector) - Static method in class elki.math.geometry.PrimsMinimumSpanningTree: Run Prim's algorithm on a dense graph.
processed - Variable in class elki.clustering.optics.FastOPTICS: processed points
processed - Variable in class elki.logging.progress.AbstractProgress: The number of items already processed at a time being.
processedIDs - Variable in class elki.clustering.correlation.CASH: Holds a set of processed ids.
processedIDs - Variable in class elki.clustering.dbscan.DBSCAN.Instance: Holds a set of processed ids.
processedIDs - Variable in class elki.clustering.optics.GeneralizedOPTICS.Instance: Holds a set of processed ids.
processedIDs - Variable in class elki.clustering.optics.OPTICSHeap.Instance: Holds a set of processed ids.
processedIDs - Variable in class elki.clustering.optics.OPTICSList.Instance: Holds a set of processed ids.
processedIDs - Variable in class elki.clustering.SNNClustering: Holds a set of processed ids.
processElementClipping(GeneratorSingleCluster, Node) - Method in class elki.datasource.GeneratorXMLDatabaseConnection: Process a 'clipping' Element in the XML stream.
processElementCluster(GeneratorMain, Node) - Method in class elki.datasource.GeneratorXMLDatabaseConnection: Process a 'cluster' Element in the XML stream.
processElementDataset(GeneratorMain, Node) - Method in class elki.datasource.GeneratorXMLDatabaseConnection: Process a 'dataset' Element in the XML stream.
processElementGamma(GeneratorSingleCluster, Node) - Method in class elki.datasource.GeneratorXMLDatabaseConnection: Process a 'gamma' Element in the XML stream.
processElementHalton(GeneratorSingleCluster, Node) - Method in class elki.datasource.GeneratorXMLDatabaseConnection: Process a 'halton' Element in the XML stream.
processElementNormal(GeneratorSingleCluster, Node) - Method in class elki.datasource.GeneratorXMLDatabaseConnection: Process a 'normal' Element in the XML stream.
processElementPoint(List<double[]>, Node) - Method in class elki.datasource.GeneratorXMLDatabaseConnection: Parse a 'point' element (point vector for a static cluster)
processElementRotate(GeneratorSingleCluster, Node) - Method in class elki.datasource.GeneratorXMLDatabaseConnection: Process a 'rotate' Element in the XML stream.
processElementStatic(GeneratorMain, Node) - Method in class elki.datasource.GeneratorXMLDatabaseConnection: Process a 'static' cluster Element in the XML stream.
processElementTranslate(GeneratorSingleCluster, Node) - Method in class elki.datasource.GeneratorXMLDatabaseConnection: Process a 'translate' Element in the XML stream.
processElementUniform(GeneratorSingleCluster, Node) - Method in class elki.datasource.GeneratorXMLDatabaseConnection: Process a 'uniform' Element in the XML stream.
processEVD(EigenvalueDecomposition) - Method in class elki.math.linearalgebra.pca.PCARunner: Process an existing eigenvalue decomposition.
processIds(DBIDs, Relation<? extends NumberVector>) - Method in class elki.math.linearalgebra.pca.AutotuningPCA
processIds(DBIDs, Relation<? extends NumberVector>) - Method in interface elki.math.linearalgebra.pca.CovarianceMatrixBuilder: Compute covariance matrix for a collection of database IDs.
processIds(DBIDs, Relation<? extends NumberVector>) - Method in class elki.math.linearalgebra.pca.PCARunner: Run PCA on a collection of database IDs.
processIds(DBIDs, Relation<? extends NumberVector>) - Method in class elki.math.linearalgebra.pca.RANSACCovarianceMatrixBuilder
processIds(DBIDs, Relation<? extends NumberVector>) - Method in class elki.math.linearalgebra.pca.StandardCovarianceMatrixBuilder: Compute Covariance Matrix for a collection of database IDs.
processIds(DBIDs, Relation<? extends NumberVector>) - Method in class elki.math.linearalgebra.pca.WeightedCovarianceMatrixBuilder: Weighted Covariance Matrix for a set of IDs.
processItem(PlotItem) - Method in class elki.result.ExportVisualizations
processKeyBinding(KeyStroke, KeyEvent, int, boolean) - Method in class elki.gui.util.ParameterTable.DispatchingPanel
processNeighbors(DBIDRef, T) - Method in class elki.clustering.dbscan.parallel.ParallelGeneralizedDBSCAN.Instance: Synchronize function to process the neighbors.
processNeighbors(DoubleDBIDList, ModifiableDBIDs, ArrayModifiableDBIDs) - Method in class elki.clustering.dbscan.DBSCAN.Instance: Process a single core point.
processNewNeighbors(WritableDataStore<HashSetModifiableDBIDs>, HashSetModifiableDBIDs, HashSetModifiableDBIDs, HashSetModifiableDBIDs, HashSetModifiableDBIDs) - Method in class elki.index.preprocessed.knn.NNDescent: Process new neighbors.
processNewResult(VisualizerContext, Object) - Method in class elki.visualization.projector.HistogramFactory
processNewResult(VisualizerContext, Object) - Method in class elki.visualization.projector.OPTICSProjectorFactory
processNewResult(VisualizerContext, Object) - Method in class elki.visualization.projector.ParallelPlotFactory
processNewResult(VisualizerContext, Object) - Method in interface elki.visualization.projector.ProjectorFactory: Add projections for the given result (tree) to the result tree.
processNewResult(VisualizerContext, Object) - Method in class elki.visualization.projector.ScatterPlotFactory
processNewResult(VisualizerContext, Object) - Method in class elki.visualization.projector.SilhouettePlotFactory
processNewResult(VisualizerContext, Object) - Method in interface elki.visualization.VisualizationProcessor: Add visualization items for the given result (tree) to the result tree.
processNewResult(VisualizerContext, Object) - Method in class elki.visualization.visualizers.actions.ClusterStyleAction
processNewResult(VisualizerContext, Object) - Method in class elki.visualization.visualizers.histogram.ColoredHistogramVisualizer
processNewResult(VisualizerContext, Object) - Method in class elki.visualization.visualizers.optics.OPTICSClusterVisualization
processNewResult(VisualizerContext, Object) - Method in class elki.visualization.visualizers.optics.OPTICSPlotCutVisualization
processNewResult(VisualizerContext, Object) - Method in class elki.visualization.visualizers.optics.OPTICSPlotSelectionVisualization
processNewResult(VisualizerContext, Object) - Method in class elki.visualization.visualizers.optics.OPTICSPlotVisualizer
processNewResult(VisualizerContext, Object) - Method in class elki.visualization.visualizers.optics.OPTICSSteepAreaVisualization
processNewResult(VisualizerContext, Object) - Method in class elki.visualization.visualizers.pairsegments.CircleSegmentsVisualizer
processNewResult(VisualizerContext, Object) - Method in class elki.visualization.visualizers.parallel.AxisReorderVisualization
processNewResult(VisualizerContext, Object) - Method in class elki.visualization.visualizers.parallel.AxisVisibilityVisualization
processNewResult(VisualizerContext, Object) - Method in class elki.visualization.visualizers.parallel.BoundingBoxVisualization
processNewResult(VisualizerContext, Object) - Method in class elki.visualization.visualizers.parallel.cluster.ClusterOutlineVisualization
processNewResult(VisualizerContext, Object) - Method in class elki.visualization.visualizers.parallel.cluster.ClusterParallelMeanVisualization
processNewResult(VisualizerContext, Object) - Method in class elki.visualization.visualizers.parallel.index.RTreeParallelVisualization
processNewResult(VisualizerContext, Object) - Method in class elki.visualization.visualizers.parallel.LineVisualization
processNewResult(VisualizerContext, Object) - Method in class elki.visualization.visualizers.parallel.ParallelAxisVisualization
processNewResult(VisualizerContext, Object) - Method in class elki.visualization.visualizers.parallel.selection.SelectionAxisRangeVisualization
processNewResult(VisualizerContext, Object) - Method in class elki.visualization.visualizers.parallel.selection.SelectionLineVisualization
processNewResult(VisualizerContext, Object) - Method in class elki.visualization.visualizers.parallel.selection.SelectionToolAxisRangeVisualization
processNewResult(VisualizerContext, Object) - Method in class elki.visualization.visualizers.parallel.selection.SelectionToolLineVisualization
processNewResult(VisualizerContext, Object) - Method in class elki.visualization.visualizers.scatterplot.AxisVisualization
processNewResult(VisualizerContext, Object) - Method in class elki.visualization.visualizers.scatterplot.cluster.ClusterAlphaHullVisualization
processNewResult(VisualizerContext, Object) - Method in class elki.visualization.visualizers.scatterplot.cluster.ClusterConvexHullVisualization
processNewResult(VisualizerContext, Object) - Method in class elki.visualization.visualizers.scatterplot.cluster.ClusterMeanVisualization
processNewResult(VisualizerContext, Object) - Method in class elki.visualization.visualizers.scatterplot.cluster.ClusterOrderVisualization
processNewResult(VisualizerContext, Object) - Method in class elki.visualization.visualizers.scatterplot.cluster.ClusterStarVisualization
processNewResult(VisualizerContext, Object) - Method in class elki.visualization.visualizers.scatterplot.cluster.EMClusterVisualization
processNewResult(VisualizerContext, Object) - Method in class elki.visualization.visualizers.scatterplot.cluster.VoronoiVisualization
processNewResult(VisualizerContext, Object) - Method in class elki.visualization.visualizers.scatterplot.density.DensityEstimationOverlay
processNewResult(VisualizerContext, Object) - Method in class elki.visualization.visualizers.scatterplot.index.TreeMBRVisualization
processNewResult(VisualizerContext, Object) - Method in class elki.visualization.visualizers.scatterplot.index.TreeSphereVisualization
processNewResult(VisualizerContext, Object) - Method in class elki.visualization.visualizers.scatterplot.MarkerVisualization
processNewResult(VisualizerContext, Object) - Method in class elki.visualization.visualizers.scatterplot.outlier.BubbleVisualization
processNewResult(VisualizerContext, Object) - Method in class elki.visualization.visualizers.scatterplot.outlier.COPVectorVisualization
processNewResult(VisualizerContext, Object) - Method in class elki.visualization.visualizers.scatterplot.PolygonVisualization
processNewResult(VisualizerContext, Object) - Method in class elki.visualization.visualizers.scatterplot.ReferencePointsVisualization
processNewResult(VisualizerContext, Object) - Method in class elki.visualization.visualizers.scatterplot.selection.DistanceFunctionVisualization
processNewResult(VisualizerContext, Object) - Method in class elki.visualization.visualizers.scatterplot.selection.MoveObjectsToolVisualization
processNewResult(VisualizerContext, Object) - Method in class elki.visualization.visualizers.scatterplot.selection.SelectionConvexHullVisualization
processNewResult(VisualizerContext, Object) - Method in class elki.visualization.visualizers.scatterplot.selection.SelectionCubeVisualization
processNewResult(VisualizerContext, Object) - Method in class elki.visualization.visualizers.scatterplot.selection.SelectionDotVisualization
processNewResult(VisualizerContext, Object) - Method in class elki.visualization.visualizers.scatterplot.selection.SelectionToolCubeVisualization
processNewResult(VisualizerContext, Object) - Method in class elki.visualization.visualizers.scatterplot.selection.SelectionToolDotVisualization
processNewResult(VisualizerContext, Object) - Method in class elki.visualization.visualizers.scatterplot.TooltipScoreVisualization
processNewResult(VisualizerContext, Object) - Method in class elki.visualization.visualizers.scatterplot.TooltipStringVisualization
processNewResult(VisualizerContext, Object) - Method in class elki.visualization.visualizers.scatterplot.uncertain.UncertainBoundingBoxVisualization
processNewResult(VisualizerContext, Object) - Method in class elki.visualization.visualizers.scatterplot.uncertain.UncertainInstancesVisualization
processNewResult(VisualizerContext, Object) - Method in class elki.visualization.visualizers.scatterplot.uncertain.UncertainSamplesVisualization
processNewResult(VisualizerContext, Object) - Method in class elki.visualization.visualizers.silhouette.SilhouettePlotSelectionToolVisualization
processNewResult(VisualizerContext, Object) - Method in class elki.visualization.visualizers.silhouette.SilhouettePlotSelectionVisualization
processNewResult(VisualizerContext, Object) - Method in class elki.visualization.visualizers.silhouette.SilhouettePlotVisualizer
processNewResult(VisualizerContext, Object) - Method in interface elki.visualization.visualizers.VisFactory: Add visualizers for the given result (tree) to the context.
processNewResult(VisualizerContext, Object) - Method in class elki.visualization.visualizers.visunproj.DendrogramVisualization
processNewResult(VisualizerContext, Object) - Method in class elki.visualization.visualizers.visunproj.EvaluationVisualization
processNewResult(VisualizerContext, Object) - Method in class elki.visualization.visualizers.visunproj.HistogramVisualization
processNewResult(VisualizerContext, Object) - Method in class elki.visualization.visualizers.visunproj.KeyVisualization
processNewResult(VisualizerContext, Object) - Method in class elki.visualization.visualizers.visunproj.LabelVisualization
processNewResult(VisualizerContext, Object) - Method in class elki.visualization.visualizers.visunproj.PixmapVisualizer
processNewResult(VisualizerContext, Object) - Method in class elki.visualization.visualizers.visunproj.SettingsVisualization
processNewResult(VisualizerContext, Object) - Method in class elki.visualization.visualizers.visunproj.SimilarityMatrixVisualizer
processNewResult(VisualizerContext, Object) - Method in class elki.visualization.visualizers.visunproj.XYCurveVisualization
processNewResult(VisualizerContext, Object) - Method in class elki.visualization.visualizers.visunproj.XYPlotVisualization
processNewResult(Object) - Method in class elki.evaluation.AutomaticEvaluation
processNewResult(Object) - Method in class elki.evaluation.clustering.EvaluateClustering
processNewResult(Object) - Method in class elki.evaluation.clustering.extractor.CutDendrogramByHeightExtractor
processNewResult(Object) - Method in class elki.evaluation.clustering.extractor.CutDendrogramByNumberOfClustersExtractor
processNewResult(Object) - Method in class elki.evaluation.clustering.extractor.HDBSCANHierarchyExtractionEvaluator
processNewResult(Object) - Method in class elki.evaluation.clustering.extractor.SimplifiedHierarchyExtractionEvaluator
processNewResult(Object) - Method in class elki.evaluation.clustering.internal.CIndex
processNewResult(Object) - Method in class elki.evaluation.clustering.internal.ClusterRadius
processNewResult(Object) - Method in class elki.evaluation.clustering.internal.ConcordantPairsGammaTau
processNewResult(Object) - Method in class elki.evaluation.clustering.internal.DaviesBouldinIndex
processNewResult(Object) - Method in class elki.evaluation.clustering.internal.DBCV
processNewResult(Object) - Method in class elki.evaluation.clustering.internal.PBMIndex
processNewResult(Object) - Method in class elki.evaluation.clustering.internal.Silhouette
processNewResult(Object) - Method in class elki.evaluation.clustering.internal.SimplifiedSilhouette
processNewResult(Object) - Method in class elki.evaluation.clustering.internal.SquaredErrors
processNewResult(Object) - Method in class elki.evaluation.clustering.internal.VarianceRatioCriterion
processNewResult(Object) - Method in class elki.evaluation.clustering.LogClusterSizes
processNewResult(Object) - Method in class elki.evaluation.clustering.pairsegments.ClusterPairSegmentAnalysis: Perform clusterings evaluation
processNewResult(Object) - Method in class elki.evaluation.index.IndexPurity
processNewResult(Object) - Method in class elki.evaluation.index.IndexStatistics
processNewResult(Object) - Method in class elki.evaluation.NoAutomaticEvaluation
processNewResult(Object) - Method in class elki.evaluation.outlier.ComputeOutlierHistogram
processNewResult(Object) - Method in class elki.evaluation.outlier.JudgeOutlierScores
processNewResult(Object) - Method in class elki.evaluation.outlier.OutlierPrecisionAtKCurve
processNewResult(Object) - Method in class elki.evaluation.outlier.OutlierPrecisionRecallCurve
processNewResult(Object) - Method in class elki.evaluation.outlier.OutlierPrecisionRecallGainCurve
processNewResult(Object) - Method in class elki.evaluation.outlier.OutlierRankingEvaluation
processNewResult(Object) - Method in class elki.evaluation.outlier.OutlierROCCurve
processNewResult(Object) - Method in class elki.evaluation.outlier.OutlierSmROCCurve
processNewResult(Object) - Method in class elki.evaluation.outlier.OutlierThresholdClustering
processNewResult(Object) - Method in class elki.evaluation.similaritymatrix.ComputeSimilarityMatrixImage
processNewResult(Object) - Method in class elki.result.AutomaticVisualization
processNewResult(Object) - Method in class elki.result.ClusteringVectorDumper
processNewResult(Object) - Method in class elki.result.DiscardResultHandler
processNewResult(Object) - Method in class elki.result.ExportVisualizations
processNewResult(Object) - Method in class elki.result.KMLOutputHandler
processNewResult(Object) - Method in class elki.result.LogResultStructureResultHandler
processNewResult(Object) - Method in interface elki.result.ResultProcessor: Process a result.
processNewResult(Object) - Method in class elki.result.ResultWriter
processNewResult(Object) - Method in class elki.visualization.parallel3d.OpenGL3DParallelCoordinates
processNewResult(Object) - Method in class tutorial.outlier.SimpleScoreDumper
Processor - Interface in elki.parallel.processor: Class to represent a processor factory.
Processor.Instance - Interface in elki.parallel.processor: Instance.
processors - Variable in class elki.parallel.ParallelCore: Maximum number of processors to use.
processPoints(ModifiableDoubleDBIDList, DoubleDBIDListMIter, double, double, DoubleDataStore, int) - Method in class elki.index.laesa.LAESA.LAESAKNNSearcher: Process a set of points
processQueryResult(DoubleDBIDList, Relation<? extends NumberVector>) - Method in class elki.math.linearalgebra.pca.AutotuningPCA
processQueryResult(DoubleDBIDList, Relation<? extends NumberVector>) - Method in class elki.math.linearalgebra.pca.PCARunner: Run PCA on a QueryResult Collection.
processQueryResults(DoubleDBIDList, Relation<? extends NumberVector>) - Method in interface elki.math.linearalgebra.pca.CovarianceMatrixBuilder: Compute covariance matrix for a QueryResult Collection.
processQueryResults(DoubleDBIDList, Relation<? extends NumberVector>, int) - Method in interface elki.math.linearalgebra.pca.CovarianceMatrixBuilder: Compute covariance matrix for a QueryResult collection.
processQueryResults(DoubleDBIDList, Relation<? extends NumberVector>, int) - Method in class elki.math.linearalgebra.pca.WeightedCovarianceMatrixBuilder: Compute Covariance Matrix for a QueryResult Collection.
processRelation(Relation<? extends NumberVector>) - Method in interface elki.math.linearalgebra.pca.CovarianceMatrixBuilder: Compute covariance matrix for a complete relation.
processResult(DoubleDBIDList, MeanVariance) - Method in class elki.application.benchmark.RangeQueryBenchmark: Method to test a result.
processRow(DBIDRef, NumberVector, ChangePoints) - Method in class elki.timeseries.SigniTrendChangeDetection.Instance: Process one row, assuming a constant time interval.
processRow(PrintStream, NumberVector, String) - Method in class elki.application.greedyensemble.EvaluatePrecomputedOutlierScores
processSingleton(Cluster<?>, Relation<? extends O>, DistanceQuery<O>, DoubleHeap, DoubleHeap, int) - Method in class elki.evaluation.clustering.internal.CIndex
processSubsets(Itemset, int, int) - Method in class elki.itemsetmining.associationrules.AssociationRuleGeneration.Instance
PROCLUS - Class in elki.clustering.subspace: The PROCLUS algorithm, an algorithm to find subspace clusters in high dimensional spaces.
PROCLUS(int, int, int, int, RandomFactory) - Constructor for class elki.clustering.subspace.PROCLUS: Java constructor.
PROCLUS.DoubleIntInt - Class in elki.clustering.subspace: Simple triple.
PROCLUS.Par - Class in elki.clustering.subspace: Parameterization class.
PROCLUS.PROCLUSCluster - Class in elki.clustering.subspace: Encapsulates the attributes of a cluster.
PROCLUSCluster(ModifiableDBIDs, long[], double[]) - Constructor for class elki.clustering.subspace.PROCLUS.PROCLUSCluster: Constructor.
procs - Variable in class elki.parallel.ParallelExecutor.BlockArrayRunner: The processor masters that own the instances.
procs - Variable in class elki.parallel.SingleThreadedExecutor.SingleThreadedRunner: The process masters that own the instances.
prog - Variable in class elki.clustering.hierarchical.AbstractHDBSCAN.HeapMSTCollector: Progress, for progress logging.
prog - Variable in class elki.clustering.optics.OPTICSXi.SteepScanPosition: Progress for logging.
progress - Variable in class elki.clustering.dbscan.parallel.ParallelGeneralizedDBSCAN.Instance: Progress logger.
progress - Variable in class elki.clustering.optics.GeneralizedOPTICS.Instance: Progress for logging.
progress - Variable in class elki.clustering.optics.OPTICSHeap.Instance: Progress for logging.
progress - Variable in class elki.clustering.optics.OPTICSList.Instance: Progress for logging.
progress - Variable in class elki.logging.progress.ProgressLogRecord: Progress storage
progress(Progress) - Method in class elki.logging.Logging: Log a Progress object.
Progress - Interface in elki.logging.progress: Generic Progress logging interface.
progresses - Variable in class elki.logging.progress.ProgressTracker: Set of potentially active progresses.
progressiveApproximation - Variable in class elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPLeafEntry: The progressive approximation.
ProgressiveEigenPairFilter - Class in elki.math.linearalgebra.pca.filter: 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 elki.math.linearalgebra.pca.filter.ProgressiveEigenPairFilter: Constructor.
ProgressiveEigenPairFilter.Par - Class in elki.math.linearalgebra.pca.filter: Parameterization class.
progressiveKnnDistanceApproximation(int) - Method in class 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 elki.logging.progress: Log record for progress messages.
ProgressLogRecord(Level, Progress) - Constructor for class elki.logging.progress.ProgressLogRecord: Constructor for progress log messages.
ProgressTracker - Class in elki.logging.progress: Class to keep track of "alive" progresses.
ProgressTracker() - Constructor for class elki.logging.progress.ProgressTracker
proj - Variable in class elki.datasource.filter.transform.GlobalPrincipalComponentAnalysisTransform: Final projection after analysis run.
proj - Variable in class elki.index.lsh.hashfamilies.AbstractProjectedHashFunctionFamily: Projection family to use.
proj - Variable in class elki.index.lsh.hashfamilies.CosineHashFunctionFamily: Projection family to use.
proj - Variable in class elki.index.preprocessed.knn.NaiveProjectedKNNPreprocessor.Factory.Par: Random projection family to use.
proj - Variable in class elki.index.preprocessed.knn.NaiveProjectedKNNPreprocessor.Factory: Random projection family to use.
proj - Variable in class elki.index.preprocessed.knn.NaiveProjectedKNNPreprocessor: Random projection family to use.
proj - Variable in class elki.index.preprocessed.knn.SpacefillingKNNPreprocessor.Factory.Par: Random projection family to use.
proj - Variable in class elki.index.preprocessed.knn.SpacefillingKNNPreprocessor.Factory: Random projection family to use.
proj - Variable in class elki.index.preprocessed.knn.SpacefillingKNNPreprocessor: Random projection family to use.
proj - Variable in class elki.index.projected.ProjectedIndex.Factory: Projection to use.
proj - Variable in class elki.index.projected.ProjectedIndex: Projection.
proj - Variable in class elki.visualization.gui.overview.PlotItem: Projection (may be null!)
proj - Variable in class elki.visualization.parallel3d.OpenGL3DParallelCoordinates.Instance.Shared: Projection
proj - Variable in class elki.visualization.projections.AffineProjection: Affine transformation used in projection
proj - Variable in class elki.visualization.visualizers.histogram.AbstractHistogramVisualization: The current projection
proj - Variable in class elki.visualization.visualizers.parallel.AbstractParallelVisualization: The current projection
proj - Variable in class elki.visualization.visualizers.scatterplot.AbstractScatterplotVisualization: The current projection
proj - Variable in class elki.visualization.visualizers.thumbs.ThumbnailVisualization: Projection.
project - Variable in class elki.data.projection.FeatureSelection: Projection lambda.
project(double[][], ParameterizationFunction) - Method in class elki.clustering.correlation.CASH: Projects the specified parameterization function into the subspace described by the given basis.
project(double, double, double, double[]) - Method in class elki.visualization.parallel3d.util.Simple1DOFCamera: Project a coordinate
project(NumberVector) - Method in class elki.data.projection.random.AbstractRandomProjectionFamily.MatrixProjection
project(NumberVector) - Method in interface elki.data.projection.random.RandomProjectionFamily.Projection: Project a single vector.
project(NumberVector) - Method in class elki.data.projection.random.RandomSubsetProjectionFamily.SubsetProjection
project(NumberVector) - Method in class elki.data.projection.random.SimplifiedRandomHyperplaneProjectionFamily.SignedProjection
project(NumberVector, double[]) - Method in class elki.data.projection.random.AbstractRandomProjectionFamily.MatrixProjection
project(NumberVector, double[]) - Method in interface elki.data.projection.random.RandomProjectionFamily.Projection: Project a single vector, into the given buffer.
project(NumberVector, double[]) - Method in class elki.data.projection.random.RandomSubsetProjectionFamily.SubsetProjection
project(NumberVector, double[]) - Method in class elki.data.projection.random.SimplifiedRandomHyperplaneProjectionFamily.SignedProjection
project(IN) - Method in interface elki.data.projection.Projection: Project a single instance.
project(V) - Method in class elki.data.projection.FeatureSelection
project(V) - Method in class elki.data.projection.LatLngToECEFProjection
project(V) - Method in class elki.data.projection.LngLatToECEFProjection
project(V) - Method in class elki.data.projection.NumericalFeatureSelection
project(V) - Method in class elki.data.projection.RandomProjection
project(V, long[], NumberVector.Factory<V>) - Static method in class elki.data.VectorUtil: Project a number vector to the specified attributes.
projectDataToRenderSpace(double[]) - Method in class elki.visualization.projections.AbstractFullProjection: Project a data vector from data space to rendering space.
projectDataToRenderSpace(double[]) - Method in interface elki.visualization.projections.FullProjection: Project a data vector from data space to rendering space.
projectDataToRenderSpace(NumberVector) - Method in class elki.visualization.projections.AbstractFullProjection: Project a data vector from data space to rendering space.
projectDataToRenderSpace(NumberVector) - Method in interface elki.visualization.projections.FullProjection: Project a data vector from data space to rendering space.
projectDataToScaledSpace(double[]) - Method in class elki.visualization.projections.AbstractFullProjection: Project a data vector from data space to scaled space.
projectDataToScaledSpace(double[]) - Method in interface elki.visualization.projections.FullProjection: Project a data vector from data space to scaled space.
projectDataToScaledSpace(NumberVector) - Method in class elki.visualization.projections.AbstractFullProjection: Project a data vector from data space to scaled space.
projectDataToScaledSpace(NumberVector) - Method in interface elki.visualization.projections.FullProjection: Project a data vector from data space to scaled space.
projectDense(NumberVector, double[]) - Method in class elki.data.projection.random.SimplifiedRandomHyperplaneProjectionFamily.SignedProjection: Slower version, for dense multiplication.
projected - Variable in class elki.index.preprocessed.knn.NaiveProjectedKNNPreprocessor: Projected data.
ProjectedCentroid - Class in elki.math.linearalgebra: Centroid only using a subset of dimensions.
ProjectedCentroid(long[], int) - Constructor for class elki.math.linearalgebra.ProjectedCentroid: Constructor for updating use.
projectedDistances - Variable in class elki.projection.SNE: Number of distance computations performed in projected space.
projectedDistances - Variable in class elki.projection.TSNE: Number of distance computations performed in projected space.
projectedEnergy - Variable in class elki.clustering.correlation.ORCLUS.ProjectedEnergy: Projected energy
projectedEnergy(Relation<? extends NumberVector>, ORCLUS.ORCLUSCluster, ORCLUS.ORCLUSCluster, int, int, int) - Method in class elki.clustering.correlation.ORCLUS: Computes the projected energy of the specified clusters.
ProjectedEnergy(int, int, ORCLUS.ORCLUSCluster, double) - Constructor for class elki.clustering.correlation.ORCLUS.ProjectedEnergy: Constructor.
ProjectedFeatureVectorAdapter() - Constructor for class elki.data.projection.FeatureSelection.ProjectedFeatureVectorAdapter
ProjectedIndex<O,I> - Class in elki.index.projected: Index data in an arbitrary projection.
ProjectedIndex(Relation<? extends O>, Projection<O, I>, Relation, Index, boolean, double) - Constructor for class elki.index.projected.ProjectedIndex: Constructor.
ProjectedIndex.Factory<O,I> - Class in elki.index.projected: Index factory.
ProjectedIndex.ProjectedKNNByDBID - Class in elki.index.projected: Class to proxy kNN queries.
ProjectedIndex.ProjectedKNNByObject - Class in elki.index.projected: Class to proxy kNN queries.
ProjectedIndex.ProjectedRangeByDBID - Class in elki.index.projected: Class to proxy range queries.
ProjectedIndex.ProjectedRangeByObject - Class in elki.index.projected: Class to proxy range queries.
ProjectedIndex.ProjectedRKNNByDBID - Class in elki.index.projected: Class to proxy RkNN queries.
ProjectedIndex.ProjectedRKNNByObject - Class in elki.index.projected: Class to proxy RkNN queries.
ProjectedKNNByDBID(DistanceQuery<O>, KNNSearcher) - Constructor for class elki.index.projected.ProjectedIndex.ProjectedKNNByDBID: Constructor.
ProjectedKNNByObject(DistanceQuery<O>, KNNSearcher) - Constructor for class elki.index.projected.ProjectedIndex.ProjectedKNNByObject: Constructor.
ProjectedNumberFeatureVectorAdapter() - Constructor for class elki.data.projection.FeatureSelection.ProjectedNumberFeatureVectorAdapter
projectedPoints - Variable in class elki.index.preprocessed.fastoptics.RandomProjectedNeighborsAndDensities: all projected points
ProjectedRangeByDBID(DistanceQuery<O>, RangeSearcher) - Constructor for class elki.index.projected.ProjectedIndex.ProjectedRangeByDBID: Constructor.
ProjectedRangeByObject(DistanceQuery<O>, RangeSearcher) - Constructor for class elki.index.projected.ProjectedIndex.ProjectedRangeByObject: Constructor.
ProjectedRKNNByDBID(DistanceQuery<O>, RKNNSearcher) - Constructor for class elki.index.projected.ProjectedIndex.ProjectedRKNNByDBID: Constructor.
ProjectedRKNNByObject(DistanceQuery<O>, RKNNSearcher) - Constructor for class elki.index.projected.ProjectedIndex.ProjectedRKNNByObject: Constructor.
ProjectedView<IN,OUT> - Class in elki.database.relation: Projected relation view (non-materialized)
ProjectedView(Relation<? extends IN>, Projection<IN, OUT>) - Constructor for class elki.database.relation.ProjectedView: Constructor.
projection - Variable in class elki.data.projection.RandomProjection: Projection matrix.
projection - Variable in class elki.database.relation.ProjectedView: The projection we use.
projection - Variable in class elki.datasource.filter.transform.ProjectionFilter: Projection to apply.
projection - Variable in class elki.index.lsh.hashfunctions.CosineLocalitySensitiveHashFunction: Projection function.
projection - Variable in class elki.index.lsh.hashfunctions.MultipleProjectionsLocalitySensitiveHashFunction: Projection matrix.
projection - Variable in class elki.visualization.parallel3d.util.Simple1DOFCamera: GLU projection matrix
Projection<IN,OUT> - Interface in elki.data.projection: Projection interface.
Projection - Interface in elki.visualization.projections: Base interface used for projections in the ELKI visualizers.
PROJECTION_ID - Static variable in class elki.index.preprocessed.knn.NaiveProjectedKNNPreprocessor.Factory.Par: Parameter for choosing the random projections.
PROJECTION_ID - Static variable in class elki.index.preprocessed.knn.SpacefillingKNNPreprocessor.Factory.Par: Parameter for choosing the random projections.
Projection1D - Interface in elki.visualization.projections: Interface for projections that have a specialization to only compute the first component.
Projection2D - Interface in elki.visualization.projections: Projections that have specialized methods to only compute the first two dimensions of the projection.
ProjectionFilter<I,O> - Class in elki.datasource.filter.transform: Apply a projection to the data.
ProjectionFilter(Projection<I, O>) - Constructor for class elki.datasource.filter.transform.ProjectionFilter: Constructor.
ProjectionParallel - Interface in elki.visualization.projections: Projection to parallel coordinates that allows reordering and inversion of axes.
projections - Variable in class elki.index.preprocessed.knn.NaiveProjectedKNNPreprocessor.Factory.Par: Number of projections to use.
projections - Variable in class elki.index.preprocessed.knn.NaiveProjectedKNNPreprocessor.Factory: Number of projections to use.
projections - Variable in class elki.index.preprocessed.knn.NaiveProjectedKNNPreprocessor: Number of projections to use.
PROJECTIONS_ID - Static variable in class elki.index.preprocessed.knn.NaiveProjectedKNNPreprocessor.Factory.Par: Parameter for choosing the number of projections to use.
projector - Variable in class elki.visualization.projections.OPTICSProjection: The projector we were generated from.
projector - Variable in class elki.visualization.projections.SilhouetteProjection: The projector we were generated from.
Projector - Interface in elki.visualization.projector: A projector is responsible for adding projections to the visualization.
ProjectorFactory - Interface in elki.visualization.projector: A projector is responsible for adding projections to the visualization by detecting appropriate relations in the database.
projectRelativeDataToRenderSpace(double[]) - Method in class elki.visualization.projections.AbstractFullProjection: Project a relative data vector from data space to rendering space.
projectRelativeDataToRenderSpace(double[]) - Method in interface elki.visualization.projections.FullProjection: Project a relative data vector from data space to rendering space.
projectRelativeDataToRenderSpace(NumberVector) - Method in class elki.visualization.projections.AbstractFullProjection: Project a relative data vector from data space to rendering space.
projectRelativeDataToRenderSpace(NumberVector) - Method in interface elki.visualization.projections.FullProjection: Project a relative data vector from data space to rendering space.
projectRelativeDataToScaledSpace(double[]) - Method in class elki.visualization.projections.AbstractFullProjection: Project a relative data vector from data space to scaled space.
projectRelativeDataToScaledSpace(double[]) - Method in interface elki.visualization.projections.FullProjection: Project a relative data vector from data space to scaled space.
projectRelativeDataToScaledSpace(NumberVector) - Method in class elki.visualization.projections.AbstractFullProjection: Project a relative data vector from data space to scaled space.
projectRelativeDataToScaledSpace(NumberVector) - Method in interface elki.visualization.projections.FullProjection: Project a relative data vector from data space to scaled space.
projectRelativeRenderToDataSpace(double[], NumberVector.Factory<NV>) - Method in class elki.visualization.projections.AbstractFullProjection: Project a relative vector from rendering space to data space.
projectRelativeRenderToDataSpace(double[], NumberVector.Factory<NV>) - Method in interface elki.visualization.projections.FullProjection: Project a relative vector from rendering space to data space.
projectRelativeRenderToScaled(double[]) - Method in class elki.visualization.projections.AbstractSimpleProjection
projectRelativeRenderToScaled(double[]) - Method in class elki.visualization.projections.AffineProjection: Project a relative vector from rendering space to scaled space.
projectRelativeRenderToScaled(double[]) - Method in interface elki.visualization.projections.FullProjection: Project a relative vector from rendering space to scaled space.
projectRelativeScaledToDataSpace(double[], NumberVector.Factory<NV>) - Method in class elki.visualization.projections.AbstractFullProjection: Project a relative vector from scaled space to data space.
projectRelativeScaledToDataSpace(double[], NumberVector.Factory<NV>) - Method in interface elki.visualization.projections.FullProjection: Project a relative vector from scaled space to data space.
projectRelativeScaledToRender(double[]) - Method in class elki.visualization.projections.AbstractSimpleProjection
projectRelativeScaledToRender(double[]) - Method in class elki.visualization.projections.AffineProjection: Project a relative vector from scaled space to rendering space.
projectRelativeScaledToRender(double[]) - Method in interface elki.visualization.projections.FullProjection: Project a relative vector from scaled space to rendering space.
projectRenderToDataSpace(double[], NumberVector.Factory<NV>) - Method in class elki.visualization.projections.AbstractFullProjection: Project a vector from rendering space to data space.
projectRenderToDataSpace(double[], NumberVector.Factory<NV>) - Method in interface elki.visualization.projections.FullProjection: Project a vector from rendering space to data space.
projectRenderToScaled(double[]) - Method in class elki.visualization.projections.AbstractSimpleProjection
projectRenderToScaled(double[]) - Method in class elki.visualization.projections.AffineProjection: Project a vector from rendering space to scaled space.
projectRenderToScaled(double[]) - Method in interface elki.visualization.projections.FullProjection: Project a vector from rendering space to scaled space.
projectScaledToDataSpace(double[], NumberVector.Factory<NV>) - Method in class elki.visualization.projections.AbstractFullProjection: Project a vector from scaled space to data space.
projectScaledToDataSpace(double[], NumberVector.Factory<NV>) - Method in interface elki.visualization.projections.FullProjection: Project a vector from scaled space to data space.
projectScaledToRender(double[]) - Method in class elki.visualization.projections.AbstractSimpleProjection
projectScaledToRender(double[]) - Method in class elki.visualization.projections.AffineProjection: Project a vector from scaled space to rendering space.
projectScaledToRender(double[]) - Method in interface elki.visualization.projections.FullProjection: Project a vector from scaled space to rendering space.
projectSparse(SparseNumberVector, double[]) - Method in class elki.data.projection.random.AbstractRandomProjectionFamily.MatrixProjection: Project, exploiting sparsity; but the transposed matrix layout would have been better.
PROP_LINES_LIBRARY - Static variable in class elki.visualization.style.PropertiesBasedStyleLibrary: Property string for the line style library
PROP_MARKER_LIBRARY - Static variable in class elki.visualization.style.PropertiesBasedStyleLibrary: Property string for the marker style library
properties - Variable in class elki.visualization.style.PropertiesBasedStyleLibrary: Properties file to use.
PropertiesBasedStyleLibrary - Class in elki.visualization.style: Style library loading the parameters from a properties file.
PropertiesBasedStyleLibrary() - Constructor for class elki.visualization.style.PropertiesBasedStyleLibrary: Constructor without a properties file name.
PropertiesBasedStyleLibrary(String, String) - Constructor for class elki.visualization.style.PropertiesBasedStyleLibrary: Constructor with a given file name.
protiter - Variable in class elki.clustering.hierarchical.MiniMax.Instance: Iterator into prototype cache
prototype - Variable in class elki.data.model.PrototypeDendrogramModel: Prototype of this cluster
prototype - Variable in class elki.data.model.SimplePrototypeModel: Cluster prototype
prototype(int) - Method in class elki.clustering.hierarchical.ClusterPrototypeMergeHistory: Get the prototype of cluster i.
PROTOTYPE - Static variable in class elki.data.spatial.PolygonsObject: Static (empty) prototype
PrototypeDendrogramModel - Class in elki.data.model: Hierarchical cluster, with prototype.
PrototypeDendrogramModel(double, DBID) - Constructor for class elki.data.model.PrototypeDendrogramModel: Constructor.
PrototypeModel<V> - Interface in elki.data.model: Cluster model that stores a prototype for each cluster.
prototypes - Variable in class elki.clustering.hierarchical.ClusterMergeHistoryBuilder: Prototype storage, may be null.
prototypes - Variable in class elki.clustering.hierarchical.ClusterPrototypeMergeHistory: Cluster prototypes
prototypeToString() - Method in class elki.data.model.SimplePrototypeModel: Format the prototype as string.
prots - Variable in class elki.clustering.hierarchical.HACAM.Instance: Iterator into the prototypes
ProxyDatabase - Class in elki.database: A proxy database to use, e.g., for projections and partitions.
ProxyDatabase(DBIDs) - Constructor for class elki.database.ProxyDatabase: Constructor.
ProxyDatabase(DBIDs, Database) - Constructor for class elki.database.ProxyDatabase: Constructor, proxying all relations of an existing database.
ProxyDatabase(DBIDs, Relation<?>...) - Constructor for class elki.database.ProxyDatabase: Constructor.
ProxyDatabase(DBIDs, Iterable<Relation<?>>) - Constructor for class elki.database.ProxyDatabase: Constructor.
ProxyView<O> - Class in elki.database.relation: A virtual partitioning of the database.
ProxyView(DBIDs, Relation<O>) - Constructor for class elki.database.relation.ProxyView: Constructor.
prune - Variable in class elki.clustering.subspace.CLIQUE.Par: Pruning flag.
prune - Variable in class elki.clustering.subspace.CLIQUE: Pruning flag.
prune - Variable in class elki.clustering.subspace.P3C.Signature: Pruning flag.
PRUNE - Static variable in class elki.logging.ErrorFormatter: List of packages to prune from stack traces at the end.
PRUNE_ID - Static variable in class elki.clustering.subspace.CLIQUE.Par: 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>) - Method in class elki.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 elki.clustering.subspace.P3C: Prune redundant cluster cores
pruneTree(int, int[], int) - Static method in class elki.math.geometry.PrimsMinimumSpanningTree: Prune the minimum spanning tree, removing all edges to nodes that have a degree below minDegree.
pruning(KDTreePruningKMeans.KDNode, int) - Method in class elki.clustering.kmeans.KDTreeFilteringKMeans.Instance
pruning(KDTreePruningKMeans.KDNode, int) - Method in class elki.clustering.kmeans.KDTreePruningKMeans.Instance: The pruning algorithm.
ps - Variable in class tutorial.distancefunction.MultiLPNorm.Par: P exponents
ps - Variable in class tutorial.distancefunction.MultiLPNorm: The exponents
PS - elki.result.ExportVisualizations.Format
pseudoRandom(long, int) - Method in class elki.distance.RandomStableDistance: Pseudo random number generator, adaption of the common rand48 generator which can be found in C (man drand48), Java and attributed to Donald Knuth.
psi - Variable in class elki.evaluation.clustering.ClusterContingencyTable: Pair Sets Index Measures
psi - Variable in class elki.evaluation.clustering.PairSetsIndex: (s - e) / (max(size1,size2) - e)
psi() - Method in class elki.evaluation.clustering.PairSetsIndex: Get the PSI measure.
ptrack - Variable in class elki.logging.CLISmartHandler: Tracker for progress messages
publish(String, Level) - Method in class elki.gui.util.LogPane: Print a message as if it were logged, without going through the full logger.
publish(LogRecord) - Method in class elki.gui.util.LogPane.LogPaneHandler
publish(LogRecord) - Method in class elki.gui.util.LogPane: Publish a log record to the logging pane.
publish(LogRecord) - Method in class elki.gui.util.LogPanel.LogPanelHandler
publish(LogRecord) - Method in class elki.gui.util.LogPanel: Publish a logging record.
publish(LogRecord) - Method in class elki.logging.CLISmartHandler: Publish a log record.
publishTextRecord(LogRecord) - Method in class elki.gui.util.LogPanel: Publish a text record to the pane
purity() - Method in class elki.evaluation.clustering.SetMatchingPurity: Get the set matchings purity (first:second clustering) (normalized, 1 = equal)
put(double) - Method in class elki.math.DoubleMinMax: Process a single double value.
put(double) - Method in class elki.math.Mean: Add a single value with weight 1.0
put(double) - Method in class elki.math.MeanVariance: Add a single value with weight 1.0
put(double) - Method in class elki.math.MeanVarianceMinMax
put(double) - Method in class elki.math.StatisticalMoments
put(double[]) - Method in class elki.math.DoubleMinMax: Process a whole array of double values.
put(double[]) - Method in class elki.math.linearalgebra.Centroid: Add a single value with weight 1.0.
put(double[]) - Method in class elki.math.linearalgebra.CovarianceMatrix: Add a single value with weight 1.0.
put(double[]) - Method in class elki.math.linearalgebra.ProjectedCentroid: Add a single value with weight 1.0.
put(double[]) - Method in class elki.math.Mean: Add values with weight 1.0
put(double[]) - Method in class elki.math.MeanVariance: Add values with weight 1.0
put(double[]) - Method in class elki.math.MeanVarianceMinMax: Add values with weight 1.0
put(double[]) - Method in class elki.math.StatisticalMoments
put(double[], double) - Method in class elki.math.linearalgebra.Centroid: Add data with a given weight.
put(double[], double) - Method in class elki.math.linearalgebra.CovarianceMatrix: Add data with a given weight.
put(double[], double) - Method in class elki.math.linearalgebra.ProjectedCentroid: Add data with a given weight.
put(double[], double[]) - Method in class elki.math.Mean: Add values with weight 1.0
put(double[], double[]) - Method in class elki.math.MeanVariance
put(double[], double[]) - Method in class elki.math.MeanVarianceMinMax
put(double[], double[]) - Method in class elki.math.StatisticalMoments
put(double, double) - Method in class elki.math.Mean: Add data with a given weight.
put(double, double) - Method in class elki.math.MeanVariance: Add data with a given weight.
put(double, double) - Method in class elki.math.MeanVarianceMinMax
put(double, double) - Method in class elki.math.PearsonCorrelation: Put a single value into the correlation statistic.
put(double, double) - Method in class elki.math.StatisticalMoments
put(double, double, double) - Method in class elki.math.PearsonCorrelation: Put a single value into the correlation statistic.
put(double, double, T) - Method in class elki.visualization.gui.overview.RectangleArranger: Add a new recangle.
put(int) - Method in class elki.math.IntegerMinMax: Process a single int value.
put(int[]) - Method in class elki.math.IntegerMinMax: Process a whole array of int values.
put(int, int, double) - Method in interface elki.distance.external.DistanceParser.DistanceCacheWriter: Puts the specified distance value for the given ids to the distance cache.
put(NumberVector) - Method in class elki.math.linearalgebra.Centroid: Add a single value with weight 1.0.
put(NumberVector) - Method in class elki.math.linearalgebra.CovarianceMatrix: Add a single value with weight 1.0.
put(NumberVector) - Method in class elki.math.linearalgebra.ProjectedCentroid: Add a single value with weight 1.0.
put(NumberVector, double) - Method in class elki.math.linearalgebra.Centroid: Add data with a given weight.
put(NumberVector, double) - Method in class elki.math.linearalgebra.CovarianceMatrix: Add data with a given weight.
put(NumberVector, double) - Method in class elki.math.linearalgebra.ProjectedCentroid: Add data with a given weight.
put(DBIDRef, double) - Method in class elki.database.datastore.memory.ArrayDoubleStore
put(DBIDRef, double) - Method in class elki.database.datastore.memory.MapIntegerDBIDDoubleStore
put(DBIDRef, double) - Method in interface elki.database.datastore.WritableDoubleDataStore: Associates the specified value with the specified id in this storage.
put(DBIDRef, int) - Method in class elki.database.datastore.memory.ArrayIntegerStore
put(DBIDRef, int) - Method in class elki.database.datastore.memory.MapIntegerDBIDIntegerStore
put(DBIDRef, int) - Method in interface elki.database.datastore.WritableIntegerDataStore: Associates the specified value with the specified id in this storage.
put(DBIDRef, DBID) - Method in class elki.database.datastore.memory.ArrayDBIDStore: Deprecated.
put(DBIDRef, DBID) - Method in class elki.database.datastore.memory.MapIntegerDBIDDBIDStore: Deprecated.
put(DBIDRef, DBID) - Method in interface elki.database.datastore.WritableDBIDDataStore: Deprecated.
Use WritableDBIDDataStore.putDBID(elki.database.ids.DBIDRef, elki.database.ids.DBIDRef) instead, to avoid boxing/unboxing cost.
put(DBIDRef, DBIDRef) - Method in class elki.database.datastore.memory.ArrayDBIDStore
put(DBIDRef, DBIDRef) - Method in class elki.database.datastore.memory.MapIntegerDBIDDBIDStore
put(DBIDRef, DBIDRef) - Method in interface elki.database.datastore.WritableDBIDDataStore: Associates the specified value with the specified id in this storage.
put(DBIDRef, Double) - Method in class elki.database.datastore.memory.ArrayDoubleStore: Deprecated.
put(DBIDRef, Double) - Method in class elki.database.datastore.memory.MapIntegerDBIDDoubleStore: Deprecated.
put(DBIDRef, Double) - Method in interface elki.database.datastore.WritableDoubleDataStore: Deprecated.
Use WritableDoubleDataStore.putDouble(elki.database.ids.DBIDRef, double) instead, to avoid boxing/unboxing cost.
put(DBIDRef, Integer) - Method in class elki.database.datastore.memory.ArrayIntegerStore: Deprecated.
put(DBIDRef, Integer) - Method in class elki.database.datastore.memory.MapIntegerDBIDIntegerStore: Deprecated.
put(DBIDRef, Integer) - Method in interface elki.database.datastore.WritableIntegerDataStore: Deprecated.
Use WritableIntegerDataStore.putInt(elki.database.ids.DBIDRef, int) instead, to avoid boxing/unboxing cost.
put(DBIDRef, T) - Method in class elki.database.datastore.memory.ArrayRecordStore.StorageAccessor
put(DBIDRef, T) - Method in class elki.database.datastore.memory.ArrayStore
put(DBIDRef, T) - Method in class elki.database.datastore.memory.MapIntegerDBIDRecordStore.StorageAccessor
put(DBIDRef, T) - Method in class elki.database.datastore.memory.MapIntegerDBIDStore
put(DBIDRef, T) - Method in class elki.database.datastore.memory.MapRecordStore.StorageAccessor
put(DBIDRef, T) - Method in class elki.database.datastore.memory.MapStore
put(DBIDRef, T) - Method in interface elki.database.datastore.WritableDataStore: Associates the specified value with the specified id in this storage.
put(DoubleMinMax) - Method in class elki.math.DoubleMinMax: Process a MinMax pair.
put(IntegerMinMax) - Method in class elki.math.IntegerMinMax: Process a MinMax pair.
put(Mean) - Method in class elki.math.Mean: Join the data of another MeanVariance instance.
put(Mean) - Method in class elki.math.MeanVariance: Join the data of another MeanVariance instance.
put(Mean) - Method in class elki.math.MeanVarianceMinMax
put(Mean) - Method in class elki.math.StatisticalMoments: Join the data of another StatisticalMoments instance.
put(PlotItem, VisualizationTask, Pair<Element, Visualization>) - Method in class elki.visualization.gui.overview.LayerMap: Put a new item into the visualizations
put(PlotItem, VisualizationTask, Element, Visualization) - Method in class elki.visualization.gui.overview.LayerMap: Put a new combination into the map.
put(String, ArrayList<String>) - Method in class elki.gui.util.SavedSettingsFile: Add/Replace a saved setting
putData(double, T) - Method in class elki.utilities.datastructures.histogram.AbstractObjDynamicHistogram: Put fresh data into the histogram (or into the cache).
putDBID(DBIDRef, DBIDRef) - Method in class elki.database.datastore.memory.ArrayDBIDStore
putDBID(DBIDRef, DBIDRef) - Method in class elki.database.datastore.memory.MapIntegerDBIDDBIDStore
putDBID(DBIDRef, DBIDRef) - Method in interface elki.database.datastore.WritableDBIDDataStore: Associates the specified value with the specified id in this storage.
putDouble(DBIDRef, double) - Method in class elki.database.datastore.memory.ArrayDoubleStore
putDouble(DBIDRef, double) - Method in class elki.database.datastore.memory.MapIntegerDBIDDoubleStore
putDouble(DBIDRef, double) - Method in interface elki.database.datastore.WritableDoubleDataStore: Associates the specified value with the specified id in this storage.
putIdElement(String, Element) - Method in class elki.visualization.svg.SVGPlot: Add an object id.
putInt(DBIDRef, int) - Method in class elki.database.datastore.memory.ArrayIntegerStore
putInt(DBIDRef, int) - Method in class elki.database.datastore.memory.MapIntegerDBIDIntegerStore
putInt(DBIDRef, int) - Method in interface elki.database.datastore.WritableIntegerDataStore: Associates the specified value with the specified id in this storage.
putRec(O, HashMapHierarchy.Rec<O>) - Method in class elki.utilities.datastructures.hierarchy.HashMapHierarchy: Put a record.
pValueCase0(double, int) - Static method in class elki.math.statistics.tests.AndersonDarlingTest: Calculates the p-value for an Anderson Darling statistic in the case where both center and variance are known.
pValueCase3(double) - Static method in class elki.math.statistics.tests.AndersonDarlingTest: Calculates the p-value for an Anderson Darling statistic in the case where both center and variance are unknown.
PWM2Estimator - Class in elki.math.statistics.intrinsicdimensionality: Probability weighted moments based estimator, using the second moment.
PWM2Estimator() - Constructor for class elki.math.statistics.intrinsicdimensionality.PWM2Estimator
PWM2Estimator.Par - Class in elki.math.statistics.intrinsicdimensionality: Parameterization class.
PWMEstimator - Class in elki.math.statistics.intrinsicdimensionality: Probability weighted moments based estimator.
PWMEstimator() - Constructor for class elki.math.statistics.intrinsicdimensionality.PWMEstimator
PWMEstimator.Par - Class in elki.math.statistics.intrinsicdimensionality: Parameterization class.

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