G-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
All Classes All Packages

G

gdrift - Variable in class elki.clustering.kmeans.YinYangKMeans.Instance: Maximum distance moved within each group.
GeneralizedDBSCAN - Class in elki.clustering.dbscan: Generalized DBSCAN, density-based clustering with noise.
GeneralizedDBSCAN(NeighborPredicate<?>, CorePredicate<?>, boolean) - Constructor for class elki.clustering.dbscan.GeneralizedDBSCAN: Constructor for parameterized algorithm.
GeneralizedDBSCAN.Instance<T> - Class in elki.clustering.dbscan: Instance for a particular data set.
GeneralizedDBSCAN.Par - Class in elki.clustering.dbscan: Parameterization class
GeneralizedOPTICS - Interface in elki.clustering.optics: A trivial generalization of OPTICS that is not restricted to numerical distances, and serves as a base for several other algorithms (HiCO, HiSC).
GeneralizedOPTICS.Instance<R> - Class in elki.clustering.optics: Instance for processing a single data set.
generateOrthonormalBasis(List<double[]>) - Method in class elki.clustering.correlation.LMCLUS: This Method generates an orthonormal basis from a set of Vectors.
generateSubspaceCandidates(List<Subspace>) - Method in class elki.clustering.subspace.SUBCLU: Generates d+1-dimensional subspace candidates from the specified d-dimensional subspaces.
GeometricLinkage - Interface in elki.clustering.hierarchical.linkage: Geometric linkages, in addition to the combination with Lance-Williams-Equations, these linkages can also be computed by aggregating data points (for vector data only).
geometricNMI() - Method in class elki.evaluation.clustering.Entropy: Get the geometric mean normalized mutual information (using the square root).
get() - Method in class elki.clustering.hierarchical.birch.CFTree.LeafIterator: Get the current leaf.
get() - Method in class elki.index.tree.betula.CFTree.LeafIterator: Get the current leaf.
get(int) - Method in class elki.evaluation.clustering.pairsegments.Segment: Get cluster number for index idx.
get(int, int) - Method in class elki.clustering.hierarchical.ClusterDistanceMatrix: Get a value from the (upper triangular) distance matrix.
get(int, int) - Method in class elki.index.tree.betula.CFDistanceMatrix: Get a value from the (upper triangular) distance matrix.
getAccuracy() - Method in class elki.evaluation.clustering.MaximumMatchingAccuracy: Get the maximum matching cluster accuracy.
getAllClusters() - Method in class elki.data.Clustering: Collect all clusters (recursively) into a List.
getBCubed() - Method in class elki.evaluation.clustering.ClusterContingencyTable: The BCubed based measures
getCapacity() - Method in class elki.index.tree.betula.CFTree: Get the tree capacity
getCF() - Method in class elki.index.tree.betula.CFNode
getCF() - Method in interface elki.index.tree.betula.features.AsClusterFeature: Get as clustering feature.
getCF() - Method in interface elki.index.tree.betula.features.ClusterFeature
getChild(int) - Method in class elki.index.tree.betula.CFNode: Get CF from Index i
getClusterHierarchy() - Method in class elki.data.Clustering: Get the cluster hierarchy.
getClusteringDescription(int) - Method in class elki.evaluation.clustering.pairsegments.Segments: Get the description of the nth clustering.
getClusteringResults(Object) - Static method in class elki.data.Clustering: Collect all clustering results from a Result
getClusterings() - Method in class elki.evaluation.clustering.pairsegments.Segments: Get the number of clusterings
getColDim() - Method in class elki.clustering.biclustering.AbstractBiclustering: The number of columns of the data matrix.
getColumnIDs() - Method in class elki.data.model.BiclusterModel: Provides a copy of the column IDs contributing to the Bicluster.
getContingencyTable() - Method in class elki.evaluation.clustering.EvaluateClustering.ScoreResult: Get the contingency table
getCore() - Method in class elki.clustering.dbscan.util.MultiBorder: Get the core this is assigned to.
getCoreDistanceStore() - Method in class elki.clustering.hierarchical.ClusterDensityMergeHistory: Get the core distances
getCoreObjects() - Method in class elki.data.model.CoreObjectsModel: Get the core object IDs.
getCorrelationValue(DBIDRef) - Method in class elki.clustering.optics.CorrelationClusterOrder: Get the correlation dimensionality.
getCovarianceMatrix() - Method in class elki.data.model.EMModel
getCoverage() - Method in class elki.clustering.subspace.clique.CLIQUESubspace: Returns the coverage of this subspace, which is the number of all feature vectors that fall inside the dense units of this subspace.
getDBIDs() - Method in class elki.clustering.hierarchical.ClusterMergeHistory: Get the object ids in this clustering.
getDBIDs() - Method in class elki.clustering.optics.ClusterOrder
getDBIDs() - Method in class elki.evaluation.clustering.pairsegments.Segment: Get the DBIDs of objects contained in this segment.
getDBIDs(ClusterFeature) - Method in class elki.index.tree.betula.CFTree: Get the DBIDs of a cluster feature (if stored).
getDimension() - Method in class elki.data.model.DimensionModel: Get cluster dimensionality
getDimension(int) - Method in class elki.clustering.subspace.clique.CLIQUEUnit: Get the ith dimension constrained.
getDimensionality() - Method in class elki.clustering.hierarchical.birch.ClusteringFeature: Dimensionality of the clustering feature.
getDimensionality() - Method in class elki.index.tree.betula.features.BIRCHCF
getDimensionality() - Method in class elki.index.tree.betula.features.VIIFeature
getDimensionality() - Method in class elki.index.tree.betula.features.VVIFeature
getDimensionality() - Method in class elki.index.tree.betula.features.VVVFeature
getDimensions() - Method in class elki.clustering.subspace.PROCLUS.PROCLUSCluster: Returns the correlated dimensions of this cluster as BitSet.
getDimensions() - Method in class elki.data.model.SubspaceModel: Returns the BitSet that represents the dimensions of the subspace of this SubspaceModel.
getDimensions() - Method in class elki.data.Subspace: Returns the BitSet representing the dimensions of this subspace.
getDistance() - Method in class elki.clustering.kmeans.AbstractKMeans
getDistance() - Method in class elki.clustering.kmeans.BestOfMultipleKMeans
getDistance() - Method in class elki.clustering.kmeans.BisectingKMeans
getDistance() - Method in interface elki.clustering.kmeans.KMeans: Returns the distance.
getDistance() - Method in class elki.clustering.kmedoids.CLARA.CachedDistanceQuery
getDistance() - Method in class elki.data.model.DendrogramModel
getEdit() - Method in class elki.evaluation.clustering.ClusterContingencyTable: Get (compute) the edit-distance based measures
getEndIndex() - Method in class elki.clustering.optics.OPTICSXi.SteepArea: End index
getEndIndex() - Method in class elki.data.model.OPTICSModel: End index of OPTICS cluster
getEntropy() - Method in class elki.evaluation.clustering.ClusterContingencyTable: Get (compute) the entropy based measures
getEuclideanValue(DBIDRef) - Method in class elki.clustering.optics.CorrelationClusterOrder: Get the Euclidean distance in the orthogonal space.
getFirstDim() - Method in class elki.clustering.subspace.P3C.Signature: Find the first dimension set in this signature.
getHalfLogDeterminant(CholeskyDecomposition) - Static method in class elki.clustering.em.models.MultivariateGaussianModel: Get 0.5 * log(det) of a cholesky decomposition.
getHighestClusterCount() - Method in class elki.evaluation.clustering.pairsegments.Segments: Returns the highest number of Clusters in the clusterings
getIds() - Method in class elki.clustering.subspace.clique.CLIQUEUnit: Returns the ids of the feature vectors this unit contains.
getIDs() - Method in class elki.clustering.dbscan.predicates.AbstractRangeQueryNeighborPredicate.Instance
getIDs() - Method in class elki.clustering.dbscan.predicates.EpsilonNeighborPredicate.Instance
getIDs() - Method in interface elki.clustering.dbscan.predicates.NeighborPredicate.Instance: Get the IDs the predicate is defined for.
getIDs() - Method in class elki.clustering.dbscan.predicates.SimilarityNeighborPredicate.Instance
getIDs() - Method in class elki.data.Cluster: Access group object
getInputTypeRestriction() - Method in class elki.clustering.affinitypropagation.AffinityPropagation
getInputTypeRestriction() - Method in interface elki.clustering.affinitypropagation.AffinityPropagationInitialization: Get the data type information for the similarity computations.
getInputTypeRestriction() - Method in class elki.clustering.affinitypropagation.DistanceBasedInitializationWithMedian
getInputTypeRestriction() - Method in class elki.clustering.affinitypropagation.SimilarityBasedInitializationWithMedian
getInputTypeRestriction() - Method in class elki.clustering.BetulaLeafPreClustering
getInputTypeRestriction() - Method in class elki.clustering.biclustering.ChengAndChurch
getInputTypeRestriction() - Method in class elki.clustering.CanopyPreClustering
getInputTypeRestriction() - Method in class elki.clustering.CFSFDP
getInputTypeRestriction() - Method in class elki.clustering.correlation.COPAC
getInputTypeRestriction() - Method in class elki.clustering.correlation.ERiC
getInputTypeRestriction() - Method in class elki.clustering.correlation.FourC
getInputTypeRestriction() - Method in class elki.clustering.correlation.HiCO
getInputTypeRestriction() - Method in class elki.clustering.correlation.LMCLUS
getInputTypeRestriction() - Method in class elki.clustering.correlation.ORCLUS
getInputTypeRestriction() - Method in class elki.clustering.dbscan.DBSCAN
getInputTypeRestriction() - Method in class elki.clustering.dbscan.GeneralizedDBSCAN
getInputTypeRestriction() - Method in class elki.clustering.dbscan.GriDBSCAN
getInputTypeRestriction() - Method in class elki.clustering.dbscan.LSDBC
getInputTypeRestriction() - Method in class elki.clustering.dbscan.parallel.ParallelGeneralizedDBSCAN
getInputTypeRestriction() - Method in class elki.clustering.dbscan.predicates.AbstractRangeQueryNeighborPredicate
getInputTypeRestriction() - Method in class elki.clustering.dbscan.predicates.COPACNeighborPredicate
getInputTypeRestriction() - Method in class elki.clustering.dbscan.predicates.EpsilonNeighborPredicate
getInputTypeRestriction() - Method in class elki.clustering.dbscan.predicates.ERiCNeighborPredicate
getInputTypeRestriction() - Method in class elki.clustering.dbscan.predicates.FourCNeighborPredicate
getInputTypeRestriction() - Method in interface elki.clustering.dbscan.predicates.NeighborPredicate: Input data type restriction.
getInputTypeRestriction() - Method in class elki.clustering.dbscan.predicates.SimilarityNeighborPredicate
getInputTypeRestriction() - Method in class elki.clustering.em.BetulaGMM
getInputTypeRestriction() - Method in class elki.clustering.em.EM
getInputTypeRestriction() - Method in class elki.clustering.em.KDTreeEM
getInputTypeRestriction() - Method in class elki.clustering.hierarchical.AbstractHDBSCAN
getInputTypeRestriction() - Method in class elki.clustering.hierarchical.AGNES
getInputTypeRestriction() - Method in class elki.clustering.hierarchical.Anderberg
getInputTypeRestriction() - Method in class elki.clustering.hierarchical.birch.BIRCHLeafClustering
getInputTypeRestriction() - Method in class elki.clustering.hierarchical.birch.BIRCHLloydKMeans
getInputTypeRestriction() - Method in class elki.clustering.hierarchical.extraction.AbstractCutDendrogram
getInputTypeRestriction() - Method in class elki.clustering.hierarchical.extraction.ClustersWithNoiseExtraction
getInputTypeRestriction() - Method in class elki.clustering.hierarchical.extraction.HDBSCANHierarchyExtraction
getInputTypeRestriction() - Method in class elki.clustering.hierarchical.extraction.SimplifiedHierarchyExtraction
getInputTypeRestriction() - Method in class elki.clustering.hierarchical.HACAM
getInputTypeRestriction() - Method in class elki.clustering.hierarchical.HDBSCANLinearMemory
getInputTypeRestriction() - Method in class elki.clustering.hierarchical.LinearMemoryNNChain
getInputTypeRestriction() - Method in class elki.clustering.hierarchical.MedoidLinkage
getInputTypeRestriction() - Method in class elki.clustering.hierarchical.MiniMax
getInputTypeRestriction() - Method in class elki.clustering.hierarchical.MiniMaxNNChain
getInputTypeRestriction() - Method in class elki.clustering.hierarchical.OPTICSToHierarchical
getInputTypeRestriction() - Method in class elki.clustering.hierarchical.SLINK
getInputTypeRestriction() - Method in class elki.clustering.hierarchical.SLINKHDBSCANLinearMemory
getInputTypeRestriction() - Method in class elki.clustering.kcenter.GreedyKCenter
getInputTypeRestriction() - Method in class elki.clustering.kmeans.AbstractKMeans
getInputTypeRestriction() - Method in class elki.clustering.kmeans.BestOfMultipleKMeans
getInputTypeRestriction() - Method in class elki.clustering.kmeans.BisectingKMeans
getInputTypeRestriction() - Method in class elki.clustering.kmeans.FuzzyCMeans
getInputTypeRestriction() - Method in class elki.clustering.kmeans.parallel.ParallelLloydKMeans
getInputTypeRestriction() - Method in class elki.clustering.kmeans.spherical.SphericalKMeans
getInputTypeRestriction() - Method in class elki.clustering.kmeans.XMeans
getInputTypeRestriction() - Method in class elki.clustering.kmedoids.AlternatingKMedoids
getInputTypeRestriction() - Method in class elki.clustering.kmedoids.CLARANS
getInputTypeRestriction() - Method in class elki.clustering.kmedoids.PAM
getInputTypeRestriction() - Method in class elki.clustering.Leader
getInputTypeRestriction() - Method in class elki.clustering.meta.ExternalClustering
getInputTypeRestriction() - Method in class elki.clustering.NaiveMeanShiftClustering
getInputTypeRestriction() - Method in class elki.clustering.onedimensional.KNNKernelDensityMinimaClustering
getInputTypeRestriction() - Method in class elki.clustering.optics.AbstractOPTICS
getInputTypeRestriction() - Method in class elki.clustering.optics.FastOPTICS
getInputTypeRestriction() - Method in class elki.clustering.optics.OPTICSXi
getInputTypeRestriction() - Method in class elki.clustering.SNNClustering
getInputTypeRestriction() - Method in class elki.clustering.subspace.CLIQUE
getInputTypeRestriction() - Method in class elki.clustering.subspace.DOC
getInputTypeRestriction() - Method in class elki.clustering.subspace.HiSC
getInputTypeRestriction() - Method in class elki.clustering.subspace.P3C
getInputTypeRestriction() - Method in class elki.clustering.subspace.PROCLUS
getInputTypeRestriction() - Method in class elki.clustering.subspace.SUBCLU
getInputTypeRestriction() - Method in class elki.clustering.trivial.ByLabelClustering
getInputTypeRestriction() - Method in class elki.clustering.trivial.ByLabelHierarchicalClustering
getInputTypeRestriction() - Method in class elki.clustering.trivial.TrivialAllInOne
getInputTypeRestriction() - Method in class elki.clustering.trivial.TrivialAllNoise
getInputTypeRestriction() - Method in class elki.similarity.cluster.ClusteringAdjustedRandIndexSimilarity
getInputTypeRestriction() - Method in class elki.similarity.cluster.ClusteringBCubedF1Similarity
getInputTypeRestriction() - Method in class elki.similarity.cluster.ClusteringFowlkesMallowsSimilarity
getInputTypeRestriction() - Method in class elki.similarity.cluster.ClusteringRandIndexSimilarity
getInputTypeRestriction() - Method in class elki.similarity.cluster.ClusterIntersectionSimilarity
getInputTypeRestriction() - Method in class elki.similarity.cluster.ClusterJaccardSimilarity
getInvertedRows() - Method in class elki.data.model.BiclusterWithInversionsModel: Provides a copy of the inverted column IDs.
getLeaves() - Method in class elki.index.tree.betula.CFTree: Extract the leaves of the tree.
getLes() - Method in class elki.data.model.LinearEquationModel: Get assigned Linear Equation System
getLocalities(DBIDs, DistanceQuery<? extends NumberVector>, RangeSearcher<DBIDRef>) - Method in class elki.clustering.subspace.PROCLUS: Computes the localities of the specified medoids: for each medoid m the objects in the sphere centered at m with radius minDist are determined, where minDist is the minimum distance between medoid m and any other medoid m_i.
getLogger() - Method in class elki.clustering.correlation.HiCO.Instance
getLogger() - Method in class elki.clustering.dbscan.predicates.AbstractRangeQueryNeighborPredicate: Get the class logger.
getLogger() - Method in class elki.clustering.dbscan.predicates.FourCNeighborPredicate
getLogger() - Method in class elki.clustering.dbscan.predicates.PreDeConNeighborPredicate
getLogger() - Method in class elki.clustering.hierarchical.AbstractHDBSCAN: Get the (STATIC) logger for this class.
getLogger() - Method in class elki.clustering.hierarchical.CLINK
getLogger() - Method in class elki.clustering.hierarchical.extraction.AbstractCutDendrogram
getLogger() - Method in class elki.clustering.hierarchical.extraction.CutDendrogramByHeight
getLogger() - Method in class elki.clustering.hierarchical.extraction.CutDendrogramByNumberOfClusters
getLogger() - Method in class elki.clustering.hierarchical.HDBSCANLinearMemory
getLogger() - Method in class elki.clustering.hierarchical.SLINK: Get the (static) class logger.
getLogger() - Method in class elki.clustering.hierarchical.SLINKHDBSCANLinearMemory
getLogger() - Method in class elki.clustering.kmeans.AbstractKMeans: Get the (STATIC) logger for this class.
getLogger() - Method in class elki.clustering.kmeans.AbstractKMeans.Instance: Get the class logger.
getLogger() - Method in class elki.clustering.kmeans.AnnulusKMeans
getLogger() - Method in class elki.clustering.kmeans.AnnulusKMeans.Instance
getLogger() - Method in class elki.clustering.kmeans.BetulaLloydKMeans
getLogger() - Method in class elki.clustering.kmeans.CompareMeans
getLogger() - Method in class elki.clustering.kmeans.CompareMeans.Instance
getLogger() - Method in class elki.clustering.kmeans.ElkanKMeans
getLogger() - Method in class elki.clustering.kmeans.ElkanKMeans.Instance
getLogger() - Method in class elki.clustering.kmeans.ExponionKMeans
getLogger() - Method in class elki.clustering.kmeans.ExponionKMeans.Instance
getLogger() - Method in class elki.clustering.kmeans.GMeans
getLogger() - Method in class elki.clustering.kmeans.HamerlyKMeans
getLogger() - Method in class elki.clustering.kmeans.HamerlyKMeans.Instance
getLogger() - Method in class elki.clustering.kmeans.HartiganWongKMeans
getLogger() - Method in class elki.clustering.kmeans.HartiganWongKMeans.Instance
getLogger() - Method in class elki.clustering.kmeans.initialization.AFKMC2.Instance
getLogger() - Method in class elki.clustering.kmeans.initialization.KMC2.Instance: Class logger.
getLogger() - Method in class elki.clustering.kmeans.KDTreeFilteringKMeans
getLogger() - Method in class elki.clustering.kmeans.KDTreeFilteringKMeans.Instance
getLogger() - Method in class elki.clustering.kmeans.KDTreePruningKMeans
getLogger() - Method in class elki.clustering.kmeans.KDTreePruningKMeans.Instance
getLogger() - Method in class elki.clustering.kmeans.KMeansMinusMinus
getLogger() - Method in class elki.clustering.kmeans.KMeansMinusMinus.Instance
getLogger() - Method in class elki.clustering.kmeans.KMediansLloyd
getLogger() - Method in class elki.clustering.kmeans.KMediansLloyd.Instance
getLogger() - Method in class elki.clustering.kmeans.LloydKMeans
getLogger() - Method in class elki.clustering.kmeans.LloydKMeans.Instance
getLogger() - Method in class elki.clustering.kmeans.MacQueenKMeans
getLogger() - Method in class elki.clustering.kmeans.MacQueenKMeans.Instance
getLogger() - Method in class elki.clustering.kmeans.parallel.ParallelLloydKMeans
getLogger() - Method in class elki.clustering.kmeans.ShallotKMeans
getLogger() - Method in class elki.clustering.kmeans.ShallotKMeans.Instance
getLogger() - Method in class elki.clustering.kmeans.SimplifiedElkanKMeans
getLogger() - Method in class elki.clustering.kmeans.SimplifiedElkanKMeans.Instance
getLogger() - Method in class elki.clustering.kmeans.SingleAssignmentKMeans
getLogger() - Method in class elki.clustering.kmeans.SingleAssignmentKMeans.Instance
getLogger() - Method in class elki.clustering.kmeans.SortMeans
getLogger() - Method in class elki.clustering.kmeans.SortMeans.Instance
getLogger() - Method in class elki.clustering.kmeans.spherical.EuclideanSphericalElkanKMeans
getLogger() - Method in class elki.clustering.kmeans.spherical.EuclideanSphericalElkanKMeans.Instance
getLogger() - Method in class elki.clustering.kmeans.spherical.EuclideanSphericalHamerlyKMeans
getLogger() - Method in class elki.clustering.kmeans.spherical.EuclideanSphericalHamerlyKMeans.Instance
getLogger() - Method in class elki.clustering.kmeans.spherical.EuclideanSphericalSimplifiedElkanKMeans
getLogger() - Method in class elki.clustering.kmeans.spherical.EuclideanSphericalSimplifiedElkanKMeans.Instance
getLogger() - Method in class elki.clustering.kmeans.spherical.SphericalElkanKMeans
getLogger() - Method in class elki.clustering.kmeans.spherical.SphericalElkanKMeans.Instance
getLogger() - Method in class elki.clustering.kmeans.spherical.SphericalHamerlyKMeans
getLogger() - Method in class elki.clustering.kmeans.spherical.SphericalHamerlyKMeans.Instance
getLogger() - Method in class elki.clustering.kmeans.spherical.SphericalKMeans
getLogger() - Method in class elki.clustering.kmeans.spherical.SphericalKMeans.Instance
getLogger() - Method in class elki.clustering.kmeans.spherical.SphericalSimplifiedElkanKMeans
getLogger() - Method in class elki.clustering.kmeans.spherical.SphericalSimplifiedElkanKMeans.Instance
getLogger() - Method in class elki.clustering.kmeans.spherical.SphericalSimplifiedHamerlyKMeans
getLogger() - Method in class elki.clustering.kmeans.spherical.SphericalSimplifiedHamerlyKMeans.Instance
getLogger() - Method in class elki.clustering.kmeans.spherical.SphericalSingleAssignmentKMeans
getLogger() - Method in class elki.clustering.kmeans.spherical.SphericalSingleAssignmentKMeans.Instance
getLogger() - Method in class elki.clustering.kmeans.XMeans
getLogger() - Method in class elki.clustering.kmeans.YinYangKMeans
getLogger() - Method in class elki.clustering.kmeans.YinYangKMeans.Instance
getLogger() - Method in class elki.clustering.kmedoids.EagerPAM: Get the static class logger.
getLogger() - Method in class elki.clustering.kmedoids.FasterPAM
getLogger() - Method in class elki.clustering.kmedoids.FastPAM
getLogger() - Method in class elki.clustering.kmedoids.FastPAM1
getLogger() - Method in class elki.clustering.kmedoids.PAM: Get the static class logger.
getLogger() - Method in class elki.clustering.kmedoids.ReynoldsPAM
getLogger() - Method in class elki.clustering.kmedoids.SingleAssignmentKMedoids
getLogger() - Method in class elki.clustering.optics.GeneralizedOPTICS.Instance: Get the class logger.
getLogger() - Method in class elki.clustering.silhouette.FasterMSC
getLogger() - Method in class elki.clustering.silhouette.FastMSC
getLogger() - Method in class elki.clustering.silhouette.PAMMEDSIL
getLogger() - Method in class elki.clustering.silhouette.PAMSIL
getLogger() - Method in class elki.clustering.subspace.HiSC.Instance
getLogger() - Method in class elki.datasource.parser.ClusteringVectorParser
getMaximumMatchingAccuracy() - Method in class elki.evaluation.clustering.ClusterContingencyTable: The Maximum Matching Accuracy
getMean() - Method in class elki.data.model.MeanModel: Get the mean.
getMeans() - Method in class elki.clustering.kmeans.parallel.KMeansProcessor: Get the new means.
getMedoid() - Method in class elki.data.model.MedoidModel
getMergeA(int) - Method in class elki.clustering.hierarchical.ClusterMergeHistory: Get the first partner of merge i.
getMergeB(int) - Method in class elki.clustering.hierarchical.ClusterMergeHistory: Get the second partner of merge i.
getMergeHeight(int) - Method in class elki.clustering.hierarchical.ClusterMergeHistory: Get merge distance / height
getMeta() - Method in class elki.datasource.parser.ClusteringVectorParser
getMinDist(DBIDArrayIter, DistanceQuery<?>, DBIDArrayIter, WritableDoubleDataStore) - Static method in class elki.clustering.kmedoids.initialization.LAB: Get the minimum distance to previous medoids.
getMinMaxDist(double[], double[], int) - Method in class elki.clustering.kmeans.KDTreePruningKMeans.Instance: Get the smallest maximum distance for pruning.
getMinPts() - Method in class elki.clustering.correlation.HiCO
getMinPts() - Method in class elki.clustering.optics.AbstractOPTICS
getMinPts() - Method in class elki.clustering.optics.FastOPTICS
getMinPts() - Method in interface elki.clustering.optics.OPTICSTypeAlgorithm: Get the minpts value used.
getMinPts() - Method in class elki.clustering.subspace.HiSC
getModel() - Method in class elki.data.Cluster: Access model object
getName() - Method in class elki.data.Cluster: Get Cluster name.
getNameAutomatic() - Method in class elki.data.Cluster: Return either the assigned name or the suggested label
getNearestCenter(double[], int) - Method in class elki.clustering.kmeans.KDTreeFilteringKMeans.Instance: Get the nearest (alive) center to a midpoint.
getNeighbors(DBIDRef) - Method in class elki.clustering.dbscan.predicates.COPACNeighborPredicate.Instance
getNeighbors(DBIDRef) - Method in class elki.clustering.dbscan.predicates.EpsilonNeighborPredicate.Instance
getNeighbors(DBIDRef) - Method in class elki.clustering.dbscan.predicates.ERiCNeighborPredicate.Instance
getNeighbors(DBIDRef) - Method in class elki.clustering.dbscan.predicates.FourCNeighborPredicate.Instance
getNeighbors(DBIDRef) - Method in interface elki.clustering.dbscan.predicates.NeighborPredicate.Instance: Get the neighbors of a reference object for DBSCAN.
getNeighbors(DBIDRef) - Method in class elki.clustering.dbscan.predicates.PreDeConNeighborPredicate.Instance
getNeighbors(DBIDRef) - Method in class elki.clustering.dbscan.predicates.SimilarityNeighborPredicate.Instance
getNeighs() - Method in class elki.index.preprocessed.fastoptics.RandomProjectedNeighborsAndDensities: Compute list of neighbors for each point from sets resulting from projection
getNextReachability() - Method in class elki.clustering.optics.OPTICSXi.SteepScanPosition: Get current reachability.
getOutputType() - Method in class elki.clustering.dbscan.predicates.COPACNeighborPredicate
getOutputType() - Method in class elki.clustering.dbscan.predicates.EpsilonNeighborPredicate
getOutputType() - Method in class elki.clustering.dbscan.predicates.ERiCNeighborPredicate
getOutputType() - Method in class elki.clustering.dbscan.predicates.FourCNeighborPredicate
getOutputType() - Method in interface elki.clustering.dbscan.predicates.NeighborPredicate: Output data type information.
getOutputType() - Method in class elki.clustering.dbscan.predicates.PreDeConNeighborPredicate
getOutputType() - Method in class elki.clustering.dbscan.predicates.SimilarityNeighborPredicate
getPaircount() - Method in class elki.evaluation.clustering.ClusterContingencyTable: Get (compute) the pair counting measures.
getPairCount() - Method in class elki.evaluation.clustering.pairsegments.Segment: Get the number of pairs in the segment.
getPairCount(boolean) - Method in class elki.evaluation.clustering.pairsegments.Segments: Get total number of pairs with or without the unclustered pairs.
getPairedSegments(Segment) - Method in class elki.evaluation.clustering.pairsegments.Segments: Return to a given segment with unpaired objects, the corresponding segments that result in an unpaired segment.
getPairSetsIndex() - Method in class elki.evaluation.clustering.ClusterContingencyTable: The Pair Sets Index measures
getParameterDistance(Parameterization) - Method in class elki.clustering.kmeans.AbstractKMeans.Par: Get the distance function parameter.
getParameterInitialization(Parameterization) - Method in class elki.clustering.kmeans.AbstractKMeans.Par: Get the initialization method parameter.
getParameterK(Parameterization) - Method in class elki.clustering.kmeans.AbstractKMeans.Par: Get the k parameter.
getParameterMaxIter(Parameterization) - Method in class elki.clustering.kmeans.AbstractKMeans.Par: Get the max iterations parameter.
getParameterVarstat(Parameterization) - Method in class elki.clustering.kmeans.AbstractKMeans.Par: Get the variance statistics parameter.
getPCAResult() - Method in class elki.data.model.CorrelationModel: Get assigned PCA result
getPositions() - Method in class elki.clustering.hierarchical.ClusterMergeHistory: Get / compute the positions.
getPredecessor(DBIDRef, DBIDVar) - Method in class elki.clustering.optics.ClusterOrder: Get the predecessor.
getPrototype() - Method in class elki.data.model.PrototypeDendrogramModel
getPrototype() - Method in interface elki.data.model.PrototypeModel
getPrototype() - Method in class elki.data.model.SimplePrototypeModel
getPrototype(Model, Relation<? extends NumberVector>) - Static method in class elki.data.model.ModelUtil: Get the representative vector for a cluster model.
getPrototype(Model, Relation<? extends V>, NumberVector.Factory<V>) - Static method in class elki.data.model.ModelUtil: Get (and convert!)
getPrototypeOrCentroid(Model, Relation<? extends NumberVector>, DBIDs) - Static method in class elki.data.model.ModelUtil: Get the representative vector for a cluster model, or compute the centroid.
getPrototypeOrCentroid(Model, Relation<? extends V>, DBIDs, NumberVector.Factory<V>) - Static method in class elki.data.model.ModelUtil: Get the representative vector for a cluster model, or compute the centroid.
getPrototypeType() - Method in class elki.data.model.MeanModel
getPrototypeType() - Method in class elki.data.model.MedoidModel
getPrototypeType() - Method in class elki.data.model.PrototypeDendrogramModel
getPrototypeType() - Method in interface elki.data.model.PrototypeModel: Type of prototype (Median, Mean, ...) for printing.
getPrototypeType() - Method in class elki.data.model.SimplePrototypeModel
getReachability() - Method in class elki.clustering.optics.OPTICSXi.SteepScanPosition: Get current reachability.
getReachability(DBIDRef) - Method in class elki.clustering.optics.ClusterOrder: Get the reachability of an object.
getRelation() - Method in class elki.clustering.kmedoids.CLARA.CachedDistanceQuery
getRoot() - Method in class elki.index.tree.betula.CFTree: Get the trees root node.
getRowDBID(int) - Method in class elki.clustering.biclustering.AbstractBiclustering: Deprecated.
Expensive!
getRowDim() - Method in class elki.clustering.biclustering.AbstractBiclustering: The number of rows of the data matrix.
getSetMatchingPurity() - Method in class elki.evaluation.clustering.ClusterContingencyTable: The set-matching purity measures
getSimilarityMatrix(Relation<O>, ArrayDBIDs) - Method in interface elki.clustering.affinitypropagation.AffinityPropagationInitialization: Compute the initial similarity matrix.
getSimilarityMatrix(Relation<O>, ArrayDBIDs) - Method in class elki.clustering.affinitypropagation.DistanceBasedInitializationWithMedian
getSimilarityMatrix(Relation<O>, ArrayDBIDs) - Method in class elki.clustering.affinitypropagation.SimilarityBasedInitializationWithMedian
getSize(int) - Method in class elki.clustering.hierarchical.ClusterMergeHistory: Get the size of the cluster merged in step i.
getSize(int) - Method in class elki.clustering.hierarchical.ClusterMergeHistoryBuilder: Get the cluster size of the current object.
getStartIndex() - Method in class elki.clustering.optics.OPTICSXi.SteepArea: Start index
getStartIndex() - Method in class elki.data.model.OPTICSModel: Starting index of OPTICS cluster
getSubspace() - Method in class elki.data.model.SubspaceModel: Returns the subspace of this SubspaceModel.
getToplevelClusters() - Method in class elki.data.Clustering: Return top level clusters
getTotalClusterCount() - Method in class elki.evaluation.clustering.pairsegments.Segments: Return the sum of all clusters
getUnpairedClusteringIndex() - Method in class elki.evaluation.clustering.pairsegments.Segment: Returns the index of the first clustering having an unpaired cluster, or -1 no unpaired cluster exists.
getVarianceContribution() - Method in class elki.data.model.KMeansModel: Get the variance contribution of the cluster (sum of variances)
getWeight() - Method in class elki.clustering.em.models.DiagonalGaussianModel
getWeight() - Method in interface elki.clustering.em.models.EMClusterModel: Get the cluster weight.
getWeight() - Method in class elki.clustering.em.models.MultivariateGaussianModel
getWeight() - Method in class elki.clustering.em.models.SphericalGaussianModel
getWeight() - Method in class elki.clustering.em.models.TextbookMultivariateGaussianModel
getWeight() - Method in class elki.clustering.em.models.TextbookSphericalGaussianModel
getWeight() - Method in class elki.clustering.em.models.TwoPassMultivariateGaussianModel
getWeight() - Method in class elki.index.tree.betula.features.BIRCHCF
getWeight() - Method in interface elki.index.tree.betula.features.ClusterFeature: Return the weight
getWeight() - Method in class elki.index.tree.betula.features.VIIFeature
getWeight() - Method in class elki.index.tree.betula.features.VVIFeature
getWeight() - Method in class elki.index.tree.betula.features.VVVFeature
glabel - Variable in class elki.clustering.kmeans.YinYangKMeans.Instance: Group label of each mean
globalCentroid(Centroid, Relation<? extends NumberVector>, List<? extends Cluster<?>>, NumberVector[], NoiseHandling) - Static method in class elki.evaluation.clustering.internal.VarianceRatioCriterion: Update the global centroid.
GMeans<V extends elki.data.NumberVector,M extends MeanModel> - Class in elki.clustering.kmeans: G-Means extends K-Means and estimates the number of centers with Anderson Darling Test.
Implemented as specialization of XMeans.
GMeans(NumberVectorDistance<? super V>, double, int, int, int, KMeans<V, M>, KMeansInitialization, RandomFactory) - Constructor for class elki.clustering.kmeans.GMeans: Constructor.
GMeans.Par<V extends elki.data.NumberVector,M extends MeanModel> - Class in elki.clustering.kmeans: Parameterization class.
goodness - Variable in class elki.clustering.correlation.LMCLUS.Separation: Goodness of separation
greedy(DistanceQuery<? extends NumberVector>, DBIDs, int, Random) - Method in class elki.clustering.subspace.PROCLUS: Returns a piercing set of k medoids from the specified sample set.
GreedyG<O> - Class in elki.clustering.kmedoids.initialization: Initialization method for k-medoids that combines the Greedy (PAM BUILD) with "alternate" refinement steps.
GreedyG() - Constructor for class elki.clustering.kmedoids.initialization.GreedyG: Constructor.
GreedyG.Par<V> - Class in elki.clustering.kmedoids.initialization: Parameterization class.
GreedyKCenter<O> - Class in elki.clustering.kcenter: Greedy algorithm for k-center algorithm also known as Gonzalez clustering, or farthest-first traversal.
GreedyKCenter(int, Distance<? super O>, RandomFactory) - Constructor for class elki.clustering.kcenter.GreedyKCenter: Constructor.
GreedyKCenter.Par<O> - Class in elki.clustering.kcenter: Parameterization class
grid - Variable in class elki.clustering.dbscan.GriDBSCAN.Instance: Data grid partitioning.
GriDBSCAN<V extends elki.data.NumberVector> - Class in elki.clustering.dbscan: Using Grid for Accelerating Density-Based Clustering.
GriDBSCAN(Distance<? super V>, double, int, double) - Constructor for class elki.clustering.dbscan.GriDBSCAN: Constructor with parameters.
GriDBSCAN.Instance<V extends elki.data.NumberVector> - Class in elki.clustering.dbscan: Instance, for a single run.
gridwidth - Variable in class elki.clustering.dbscan.GriDBSCAN: Width of the grid cells.
gridwidth - Variable in class elki.clustering.dbscan.GriDBSCAN.Instance: Width of the grid cells.
GROUP_KMEANS_MAXITER - Static variable in class elki.clustering.kmeans.YinYangKMeans: Use only up to 5 iterations of kmeans for grouping initial centers.
GroupAverageLinkage - Class in elki.clustering.hierarchical.linkage: Group-average linkage clustering method (UPGMA).
GroupAverageLinkage() - Constructor for class elki.clustering.hierarchical.linkage.GroupAverageLinkage: Deprecated.
use the static instance GroupAverageLinkage.STATIC instead.
GroupAverageLinkage.Par - Class in elki.clustering.hierarchical.linkage: Class parameterizer.
groupKMeans(int) - Method in class elki.clustering.kmeans.YinYangKMeans.Instance: Groups the initial centers into t groups.
groups - Variable in class elki.clustering.kmeans.YinYangKMeans.Instance: Center list for each group
grow(int, double, HDBSCANHierarchyExtraction.TempCluster) - Method in class elki.clustering.hierarchical.extraction.HDBSCANHierarchyExtraction.TempCluster: Join the contents of another cluster.
grow(int, double, DBIDRef) - Method in class elki.clustering.hierarchical.extraction.HDBSCANHierarchyExtraction.TempCluster: Join the contents of another cluster.

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