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
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.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.

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.

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.

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.

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.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.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.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.datasource.parser.ClusteringVectorParser.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.index.preprocessed.fastoptics.RandomProjectedNeighborsAndDensities.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.result.ClusteringVectorDumper.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

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

ParallelLloydKMeans<V extends elki.data.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.

Parameterizer() - Constructor for class elki.clustering.kmeans.HartiganWongKMeans.Parameterizer

parent - Variable in class elki.clustering.hierarchical.ClusterMergeHistoryBuilder

Parent for union-find, may be uninitialized.

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.

partitionData(Relation<? extends NumberVector>, int) - Method in class elki.clustering.subspace.P3C

Partition the data set into bins bins in each dimension independently.

partitionsFromIntegerLabels(DBIDs, IntegerDataStore, int) - Static method in class elki.clustering.ClusteringAlgorithmUtil

Collect clusters from their [0;k-1] integer labels.

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.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

pcaresult - Variable in class elki.data.model.CorrelationModel

The computed PCA result of this cluster.

pdim - Variable in class elki.clustering.dbscan.predicates.PreDeConNeighborPredicate.PreDeConModel

Preference dimensionality.

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.

performLastSwap(DBIDRef) - Method in class elki.clustering.kmedoids.FastCLARANS.Assignment

Compute the reassignment cost, for one swap.

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.

points - Variable in class elki.index.preprocessed.fastoptics.RandomProjectedNeighborsAndDensities

entire point set

POISSON_THRESHOLD_ID - Static variable in class elki.clustering.subspace.P3C.Par

Parameter for the poisson test threshold.

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.

positions - Variable in class elki.clustering.hierarchical.ClusterMergeHistory

Positions for layouting.

POWER_ID - Static variable in class elki.evaluation.clustering.internal.DaviesBouldinIndex.Par

Power exponent p.

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.

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.

preferenceVectors - Variable in class elki.clustering.subspace.HiSC.Instance

The data store.

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.

preprocess(Class<? super M>, Relation<? extends O>, RangeSearcher<DBIDRef>) - Method in class elki.clustering.dbscan.predicates.AbstractRangeQueryNeighborPredicate

Perform the preprocessing step.

prevvartotal - Variable in class elki.clustering.kmeans.KMeansMinusMinus.Instance

Variance of the previous iteration

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.

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_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.

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.

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.

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.

processCluster(Cluster<?>, List<? extends Cluster<?>>, int, DistanceQuery<O>, DoubleHeap, DoubleHeap, int) - Method in class elki.evaluation.clustering.internal.CIndex

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.

processed - Variable in class elki.clustering.optics.FastOPTICS

processed points

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.

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.

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.result.ClusteringVectorDumper

processSingleton(Cluster<?>, Relation<? extends O>, DistanceQuery<O>, DoubleHeap, DoubleHeap, int) - Method in class elki.evaluation.clustering.internal.CIndex

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.

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.

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.

projectedPoints - Variable in class elki.index.preprocessed.fastoptics.RandomProjectedNeighborsAndDensities

all projected points

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.

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

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_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

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.

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.

purity() - Method in class elki.evaluation.clustering.SetMatchingPurity

Get the set matchings purity (first:second clustering) (normalized, 1 = equal)

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