Package elki.clustering.hierarchical

Class MiniMaxNNChain.Instance

java.lang.Object

elki.clustering.hierarchical.AGNES.Instance

elki.clustering.hierarchical.MiniMax.Instance

elki.clustering.hierarchical.MiniMaxNNChain.Instance

Enclosing class:

MiniMaxNNChain<O>

public static class MiniMaxNNChain.Instance
extends MiniMax.Instance

Main worker instance of MiniMaxNNChain.

Author:

Erich Schubert

Field Summary

Fields inherited from class elki.clustering.hierarchical.MiniMax.Instance

clusters, dq, ix, iy, protiter

Fields inherited from class elki.clustering.hierarchical.AGNES.Instance

builder, end, linkage, mat

Constructor Summary

Constructors

Constructor	Description
Instance()

Method Summary

Modifier and Type	Method	Description
private void	nnChainCore()	Uses NNChain as in "Modern hierarchical, agglomerative clustering algorithms" by Daniel Müllner.
ClusterPrototypeMergeHistory	run(elki.database.ids.ArrayDBIDs ids, ClusterDistanceMatrix mat, ClusterMergeHistoryBuilder builder, elki.database.query.distance.DistanceQuery<?> dq, elki.database.ids.DBIDArrayMIter prots)

Methods inherited from class elki.clustering.hierarchical.MiniMax.Instance

findMerge, merge, run, updateEntry, updateMatrices

Methods inherited from class elki.clustering.hierarchical.AGNES.Instance

merge, shrinkActiveSet, updateMatrix

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

Instance

public Instance()

Method Detail

run

public ClusterPrototypeMergeHistory run(elki.database.ids.ArrayDBIDs ids,
                                        ClusterDistanceMatrix mat,
                                        ClusterMergeHistoryBuilder builder,
                                        elki.database.query.distance.DistanceQuery<?> dq,
                                        elki.database.ids.DBIDArrayMIter prots)

Overrides:

run in class MiniMax.Instance

nnChainCore

private void nnChainCore()

Uses NNChain as in "Modern hierarchical, agglomerative clustering algorithms" by Daniel Müllner.