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

Packages that use de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical

Package	Description
de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical	Hierarchical agglomerative clustering (HAC).
tutorial.clustering	Classes from the tutorial on implementing a custom k-means variation.

Classes in de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical used by de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical

Class and Description
CentroidLinkageMethod Centroid linkage clustering method, aka UPGMC: Unweighted Pair-Group Method using Centroids.
CompleteLinkageMethod Complete-linkage clustering method.
ExtractFlatClusteringFromHierarchy Extract a flat clustering from a full hierarchy, represented in pointer form.
ExtractFlatClusteringFromHierarchy.OutputMode Output mode.
ExtractFlatClusteringFromHierarchy.ThresholdMode Threshold mode.
GroupAverageLinkageMethod Group-average linkage clustering method.
HierarchicalClusteringAlgorithm Interface for hierarchical clustering algorithms.
LinkageMethod Abstract interface for implementing a new linkage method into hierarchical clustering.
MedianLinkageMethod Median-linkage clustering method: Weighted pair group method using centroids (WPGMC).
NaiveAgglomerativeHierarchicalClustering Hierarchical Agglomerative Clustering (HAC) is a classic hierarchical clustering algorithm.
PointerHierarchyRepresentationResult The pointer representation of a hierarchical clustering.
SingleLinkageMethod Single-linkage clustering method.
SLINK Implementation of the efficient Single-Link Algorithm SLINK of R.
WardLinkageMethod Ward's method clustering method.
WeightedAverageLinkageMethod Weighted average linkage clustering method.

Classes in de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical used by tutorial.clustering

Class and Description
HierarchicalClusteringAlgorithm Interface for hierarchical clustering algorithms.
PointerHierarchyRepresentationResult The pointer representation of a hierarchical clustering.