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

Class EvaluatePBMIndex

java.lang.Object

de.lmu.ifi.dbs.elki.evaluation.clustering.internal.EvaluatePBMIndex

All Implemented Interfaces:

Evaluator, ResultProcessor

@Reference(authors="M. K. Pakhira, and S. Bandyopadhyay, and U. Maulik",
           title="Validity index for crisp and fuzzy clusters",
           booktitle="Pattern recognition, 37(3)",
           url="http://dx.doi.org/10.1016/j.patcog.2003.06.005")
public class EvaluatePBMIndex
extends Object
implements Evaluator

Compute the PBM of a data set Reference:

M. K. Pakhira, and S. Bandyopadhyay, and U. Maulik
Validity index for crisp and fuzzy clusters
Pattern recognition, 37(3)

Author:

Stephan Baier, Erich Schubert

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	EvaluatePBMIndex.Parameterizer Parameterization class.

Field Summary

Fields

Modifier and Type	Field and Description
private NumberVectorDistanceFunction<?>	distanceFunction Distance function to use.
private String	key Key for logging statistics.
private static Logging	LOG Logger for debug output.
private NoiseHandling	noiseHandling Option for noise handling.

Constructor Summary

Constructors

Constructor and Description
EvaluatePBMIndex(NumberVectorDistanceFunction<?> distance, NoiseHandling noiseOpt) Constructor.

Method Summary

Methods

Modifier and Type	Method and Description
double	evaluateClustering(Database db, Relation<? extends NumberVector> rel, Clustering<?> c) Evaluate a single clustering.
void	processNewResult(ResultHierarchy hier, Result result) Process a result.

Methods inherited from class java.lang.Object

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

Field Detail

LOG

private static final Logging LOG

Logger for debug output.

noiseHandling

private NoiseHandling noiseHandling

Option for noise handling.

distanceFunction

private NumberVectorDistanceFunction<?> distanceFunction

Distance function to use.

key

private String key

Key for logging statistics.

Constructor Detail

EvaluatePBMIndex

public EvaluatePBMIndex(NumberVectorDistanceFunction<?> distance,
                NoiseHandling noiseOpt)

Constructor.

Parameters:

distance - Distance function

noiseOpt - Flag to control noise handling

Method Detail

evaluateClustering

public double evaluateClustering(Database db,
                        Relation<? extends NumberVector> rel,
                        Clustering<?> c)

Evaluate a single clustering.

Parameters:

db - Database

rel - Data relation

c - Clustering

Returns:

PBM

processNewResult

public void processNewResult(ResultHierarchy hier,
                    Result result)

Description copied from interface: ResultProcessor

Process a result.

Specified by:

processNewResult in interface ResultProcessor

Parameters:

hier - The base of the result tree.

result - Newly added result subtree.