Package elki.clustering.hierarchical
Class MiniMaxAnderberg<O>
- java.lang.Object
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- elki.clustering.hierarchical.MiniMax<O>
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- elki.clustering.hierarchical.MiniMaxAnderberg<O>
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- All Implemented Interfaces:
Algorithm
,HierarchicalClusteringAlgorithm
@Reference(authors="M. R. Anderberg", title="Hierarchical Clustering Methods", booktitle="Cluster Analysis for Applications", bibkey="books/academic/Anderberg73/Ch6") @Priority(195) public class MiniMaxAnderberg<O> extends MiniMax<O>
This is a modification of the classic MiniMax algorithm for hierarchical clustering using a nearest-neighbor heuristic for acceleration.This optimization is attributed to M. R. Anderberg.
Reference:
M. R. Anderberg
Hierarchical Clustering Methods
Cluster Analysis for Applications
ISBN: 0120576503- Since:
- 0.7.5
- Author:
- Julian Erhard, Erich Schubert
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Nested Class Summary
Nested Classes Modifier and Type Class Description static class
MiniMaxAnderberg.Instance
Main worker instance of MiniMax.-
Nested classes/interfaces inherited from interface elki.Algorithm
Algorithm.Utils
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Constructor Summary
Constructors Constructor Description MiniMaxAnderberg(Distance<? super O> distance)
Constructor.
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Method Summary
All Methods Instance Methods Concrete Methods Modifier and Type Method Description ClusterPrototypeMergeHistory
run(Relation<O> relation)
Run the algorithm-
Methods inherited from class elki.clustering.hierarchical.MiniMax
getInputTypeRestriction, initializeMatrices
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Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
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Methods inherited from interface elki.clustering.hierarchical.HierarchicalClusteringAlgorithm
autorun
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Field Detail
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LOG
private static final Logging LOG
Class logger
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