Package elki.evaluation.clustering.extractor

Class CutDendrogramByHeightExtractor

java.lang.Object

elki.evaluation.clustering.extractor.CutDendrogramByHeightExtractor

All Implemented Interfaces:

Evaluator, ResultProcessor

public class CutDendrogramByHeightExtractor
extends java.lang.Object
implements Evaluator

Extract clusters from a hierarchical clustering, during the evaluation phase.

Usually, it is more elegant to use CutDendrogramByHeight as primary algorithm. But in order to extract multiple partitionings from the same clustering, this can be useful.

Since:

0.7.0

Author:

Erich Schubert

Nested Class Summary

Nested Classes

Modifier and Type	Class	Description
static class	CutDendrogramByHeightExtractor.Par	Parameterization class.

Field Summary

Fields

Modifier and Type	Field	Description
private CutDendrogramByHeight	inner	Class to perform the cluster extraction.

Constructor Summary

Constructors

Constructor	Description
CutDendrogramByHeightExtractor(CutDendrogramByHeight inner)	Constructor.

Method Summary

Modifier and Type	Method	Description
void	processNewResult(java.lang.Object newResult)	Process a result.

Methods inherited from class java.lang.Object

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

Field Detail

inner

private CutDendrogramByHeight inner

Class to perform the cluster extraction.

Constructor Detail

CutDendrogramByHeightExtractor

public CutDendrogramByHeightExtractor(CutDendrogramByHeight inner)

Constructor.

Parameters:

inner - Inner algorithm instance.

Method Detail

processNewResult

public void processNewResult(java.lang.Object newResult)

Description copied from interface: ResultProcessor

Process a result.

Specified by:

processNewResult in interface ResultProcessor

Parameters:

newResult - Newly added result subtree.