Package de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical

Interface Summary

Interface	Description
HierarchicalClusteringAlgorithm<D extends Distance<D>>	Interface for hierarchical clustering algorithms.
LinkageMethod	Abstract interface for implementing a new linkage method into hierarchical clustering.

Class Summary

Class	Description
CentroidLinkageMethod	Centroid linkage clustering method, aka UPGMC: Unweighted Pair-Group Method using Centroids.
CentroidLinkageMethod.Parameterizer	Class parameterizer.
CompleteLinkageMethod	Complete-linkage clustering method.
CompleteLinkageMethod.Parameterizer	Class parameterizer.
ExtractFlatClusteringFromHierarchy<D extends Distance<D>>	Extract a flat clustering from a full hierarchy, represented in pointer form.
ExtractFlatClusteringFromHierarchy.CompareByDoubleLambda	Order a DBID collection by the lambda value.
ExtractFlatClusteringFromHierarchy.CompareByLambda<D extends Distance<D>>	Order a DBID collection by the lambda value.
ExtractFlatClusteringFromHierarchy.Parameterizer<D extends Distance<D>>	Parameterization class.
GroupAverageLinkageMethod	Group-average linkage clustering method.
GroupAverageLinkageMethod.Parameterizer	Class parameterizer.
MedianLinkageMethod	Median-linkage clustering method: Weighted pair group method using centroids (WPGMC).
MedianLinkageMethod.Parameterizer	Class parameterizer.
NaiveAgglomerativeHierarchicalClustering<O,D extends NumberDistance<D,?>>	This tutorial will step you through implementing a well known clustering algorithm, agglomerative hierarchical clustering, in multiple steps.
NaiveAgglomerativeHierarchicalClustering.Parameterizer<O,D extends NumberDistance<D,?>>	Parameterization class
PointerHierarchyRepresentationResult<D extends Distance<D>>	The pointer representation of a hierarchical clustering.
SingleLinkageMethod	Single-linkage clustering method.
SingleLinkageMethod.Parameterizer	Class parameterizer.
SLINK<O,D extends Distance<D>>	Implementation of the efficient Single-Link Algorithm SLINK of R.
SLINK.Parameterizer<O,D extends Distance<D>>	Parameterization class.
WardLinkageMethod	Ward's method clustering method.
WardLinkageMethod.Parameterizer	Class parameterizer.
WeightedAverageLinkageMethod	Weighted average linkage clustering method.
WeightedAverageLinkageMethod.Parameterizer	Class parameterizer.

Enum Summary

Enum	Description
ExtractFlatClusteringFromHierarchy.OutputMode	Output mode.
ExtractFlatClusteringFromHierarchy.ThresholdMode	Threshold mode.