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

Hierarchical agglomerative clustering (HAC).

See: Description

Interface Summary

Interface	Description
HierarchicalClusteringAlgorithm	Interface for hierarchical clustering algorithms.

Class Summary

Class	Description
AbstractHDBSCAN<O,R extends Result>	Abstract base class for HDBSCAN variations.
AbstractHDBSCAN.HDBSCANAdapter	Class for processing the HDBSCAN G_mpts graph.
AbstractHDBSCAN.HeapMSTCollector	Class for collecting the minimum spanning tree edges into a heap.
AbstractHDBSCAN.Parameterizer<O>	Parameterization class
AGNES<O>	Hierarchical Agglomerative Clustering (HAC) or Agglomerative Nesting (AGNES) is a classic hierarchical clustering algorithm.
AGNES.Parameterizer<O>	Parameterization class
AnderbergHierarchicalClustering<O>	This is a modification of the classic AGNES algorithm for hierarchical clustering using a nearest-neighbor heuristic for acceleration.
AnderbergHierarchicalClustering.Parameterizer<O>	Parameterization class
CLINK<O>	CLINK algorithm for complete linkage.
CLINK.Parameterizer<O>	Parameterization class.
HDBSCANLinearMemory<O>	Linear memory implementation of HDBSCAN clustering.
HDBSCANLinearMemory.Parameterizer<O>	Parameterization class
MatrixParadigm	Shared code for algorithms that work on a strict matrix paradigm.
MiniMax<O>	Minimax Linkage clustering.
MiniMax.Parameterizer<O>	Parameterization class.
MiniMaxAnderberg<O>	This is a modification of the classic MiniMax algorithm for hierarchical clustering using a nearest-neighbor heuristic for acceleration.
MiniMaxAnderberg.Parameterizer<O>	Parameterization class
MiniMaxNNChain<O>	MiniMax hierarchical clustering using the NNchain algorithm.
MiniMaxNNChain.Parameterizer<O>	Parameterization class.
NNChain<O>	NNchain clustering algorithm.
NNChain.Parameterizer<O>	Parameterization class.
PointerDensityHierarchyRepresentationResult	Extended pointer representation useful for HDBSCAN.
PointerHierarchyRepresentationBuilder	Class to help building a pointer hierarchy.
PointerHierarchyRepresentationResult	The pointer representation of a hierarchical clustering.
PointerPrototypeHierarchyRepresentationResult	Hierarchical clustering with prototypes (used by MiniMax).
SLINK<O>	Implementation of the efficient Single-Link Algorithm SLINK of R.
SLINK.Parameterizer<O>	Parameterization class.
SLINKHDBSCANLinearMemory<O>	Linear memory implementation of HDBSCAN clustering based on SLINK.
SLINKHDBSCANLinearMemory.Parameterizer<O>	Parameterization class

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

Hierarchical agglomerative clustering (HAC).