de.lmu.ifi.dbs.elki.evaluation.clustering.extractor

Class CutDendrogramByNumberOfClustersExtractor

java.lang.Object

de.lmu.ifi.dbs.elki.evaluation.clustering.extractor.CutDendrogramByNumberOfClustersExtractor

All Implemented Interfaces:

Evaluator, ResultProcessor

public class CutDendrogramByNumberOfClustersExtractor
extends java.lang.Object
implements Evaluator

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

Usually, it is more elegant to use CutDendrogramByNumberOfClustersExtractor 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 and Description
static class	CutDendrogramByNumberOfClustersExtractor.Parameterizer Parameterization class.

Field Summary

Fields

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

Constructor Summary

Constructors

Constructor and Description
CutDendrogramByNumberOfClustersExtractor(CutDendrogramByNumberOfClusters inner) Constructor.

Method Summary

Modifier and Type	Method and Description
void	processNewResult(ResultHierarchy hier, Result 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 CutDendrogramByNumberOfClusters inner

Class to perform the cluster extraction.

Constructor Detail

CutDendrogramByNumberOfClustersExtractor

public CutDendrogramByNumberOfClustersExtractor(CutDendrogramByNumberOfClusters inner)

Constructor.

Parameters:

inner - Inner algorithm instance.

Method Detail

processNewResult

public void processNewResult(ResultHierarchy hier,
                             Result newResult)

Description copied from interface: ResultProcessor

Process a result.

Specified by:

processNewResult in interface ResultProcessor

Parameters:

hier - The base of the result tree.

newResult - Newly added result subtree.