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HACAM<O> - Class in elki.clustering.hierarchical

Hierarchical Agglomerative Clustering Around Medoids (HACAM) is a hierarchical clustering method that merges the clusters with the smallest distance to the medoid of the union.

HACAM(Distance<? super O>, HACAM.Variant) - Constructor for class elki.clustering.hierarchical.HACAM

Constructor.

HACAM.Instance - Class in elki.clustering.hierarchical

Main worker instance of AGNES.

HACAM.Variant - Enum in elki.clustering.hierarchical

Variants of the HACAM method.

halfwidth - Variable in class elki.clustering.em.KDTreeEM.KDTree

Half width of the rectangle.

halfwidth - Variable in class elki.clustering.kmeans.KDTreePruningKMeans.KDNode

Half width of the node

HamerlyKMeans<V extends elki.data.NumberVector> - Class in elki.clustering.kmeans

Hamerly's fast k-means by exploiting the triangle inequality.

HamerlyKMeans(NumberVectorDistance<? super V>, int, int, KMeansInitialization, boolean) - Constructor for class elki.clustering.kmeans.HamerlyKMeans

Constructor.

HamerlyKMeans.Instance - Class in elki.clustering.kmeans

Inner instance, storing state for a single data set.

HamerlyKMeans.Par<V extends elki.data.NumberVector> - Class in elki.clustering.kmeans

Parameterization class.

hardClustering(WritableDataStore<double[]>, List<P3C.Signature>, DBIDs) - Method in class elki.clustering.subspace.P3C

Creates a hard clustering from the specified soft membership matrix.

HartiganWongKMeans<V extends elki.data.NumberVector> - Class in elki.clustering.kmeans

Hartigan and Wong k-means clustering.

HartiganWongKMeans(int, KMeansInitialization) - Constructor for class elki.clustering.kmeans.HartiganWongKMeans

Constructor.

HartiganWongKMeans.Instance - Class in elki.clustering.kmeans

Instance for a particular data set.

HartiganWongKMeans.Parameterizer<V extends elki.data.NumberVector> - Class in elki.clustering.kmeans

Parameterization class.

hashCode() - Method in class elki.clustering.optics.OPTICSHeapEntry

Returns a hash code value for the object.

hashCode() - Method in class elki.data.Subspace

Returns the hash code value of the Subspace.dimensions of this subspace.

hashCode() - Method in class elki.evaluation.clustering.pairsegments.Segment

haslbl - Variable in class elki.datasource.parser.ClusteringVectorParser

Flag if labels are present.

hasNext() - Method in class elki.clustering.optics.OPTICSXi.SteepScanPosition

Test whether there is a next value.

hasUncachedQueries() - Method in class elki.clustering.kmedoids.CLARA.CachedDistanceQuery

Check if any queries were uncached (not using DBIDs).

HDBSCANAdapter(ArrayDBIDs, DoubleDataStore, DistanceQuery<?>) - Constructor for class elki.clustering.hierarchical.AbstractHDBSCAN.HDBSCANAdapter

Constructor.

HDBSCANHierarchyExtraction - Class in elki.clustering.hierarchical.extraction

Extraction of simplified cluster hierarchies, as proposed in HDBSCAN, and additionally also compute the GLOSH outlier scores.

HDBSCANHierarchyExtraction(HierarchicalClusteringAlgorithm, int, boolean) - Constructor for class elki.clustering.hierarchical.extraction.HDBSCANHierarchyExtraction

Constructor.

HDBSCANHierarchyExtraction.Instance - Class in elki.clustering.hierarchical.extraction

Instance for a single data set.

HDBSCANHierarchyExtraction.Par - Class in elki.clustering.hierarchical.extraction

Parameterization class.

HDBSCANHierarchyExtraction.TempCluster - Class in elki.clustering.hierarchical.extraction

Temporary cluster.

HDBSCANHierarchyExtractionEvaluator - Class in elki.evaluation.clustering.extractor

Extract clusters from a hierarchical clustering, during the evaluation phase.

HDBSCANHierarchyExtractionEvaluator(HDBSCANHierarchyExtraction) - Constructor for class elki.evaluation.clustering.extractor.HDBSCANHierarchyExtractionEvaluator

Constructor.

HDBSCANHierarchyExtractionEvaluator.Par - Class in elki.evaluation.clustering.extractor

Parameterization class.

HDBSCANLinearMemory<O> - Class in elki.clustering.hierarchical

Linear memory implementation of HDBSCAN clustering.

HDBSCANLinearMemory(Distance<? super O>, int) - Constructor for class elki.clustering.hierarchical.HDBSCANLinearMemory

Constructor.

heap - Variable in class elki.clustering.hierarchical.AbstractHDBSCAN.HeapMSTCollector

Output heap.

heap - Variable in class elki.clustering.optics.OPTICSHeap.Instance

Heap of candidates.

HeapMSTCollector(DoubleLongHeap, FiniteProgress, Logging) - Constructor for class elki.clustering.hierarchical.AbstractHDBSCAN.HeapMSTCollector

Constructor.

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

Desired size of the heap.

height - Variable in class elki.data.model.DendrogramModel

Distance to child cluster

HiCO - Class in elki.clustering.correlation

Implementation of the HiCO algorithm, an algorithm for detecting hierarchies of correlation clusters.

HiCO(int, PCARunner, double, int, double) - Constructor for class elki.clustering.correlation.HiCO

Constructor.

HiCO.Instance - Class in elki.clustering.correlation

Instance of the OPTICS algorithm.

HiCO.Par - Class in elki.clustering.correlation

Parameterization class.

hierarchical - Variable in class elki.clustering.hierarchical.extraction.AbstractCutDendrogram

Include empty clusters in the hierarchy produced.

hierarchical - Variable in class elki.clustering.hierarchical.extraction.AbstractCutDendrogram.Par

Flag to generate a hierarchical result.

hierarchical - Variable in class elki.clustering.hierarchical.extraction.HDBSCANHierarchyExtraction

Return a hierarchical result.

hierarchical - Variable in class elki.clustering.hierarchical.extraction.HDBSCANHierarchyExtraction.Par

Return a hierarchical result.

HIERARCHICAL_ID - Static variable in class elki.clustering.hierarchical.extraction.AbstractCutDendrogram.Par

Parameter to configure the output mode (nested or truncated clusters).

HIERARCHICAL_ID - Static variable in class elki.clustering.hierarchical.extraction.HDBSCANHierarchyExtraction.Par

Produce a hierarchical result.

HierarchicalClusteringAlgorithm - Interface in elki.clustering.hierarchical

Interface for hierarchical clustering algorithms.

hierarchy - Variable in class elki.data.Clustering

Cluster hierarchy.

HiSC - Class in elki.clustering.subspace

Implementation of the HiSC algorithm, an algorithm for detecting hierarchies of subspace clusters.

HiSC(double, int) - Constructor for class elki.clustering.subspace.HiSC

Constructor.

HiSC.Instance - Class in elki.clustering.subspace

Algorithm instance for a single data set.

HiSC.Par - Class in elki.clustering.subspace

Parameterization class.

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