Package elki.evaluation.clustering.internal

Class PBMIndex

java.lang.Object

elki.evaluation.clustering.internal.PBMIndex

All Implemented Interfaces:

Evaluator, ResultProcessor

@Reference(authors="M. K. Pakhira, S. Bandyopadhyay, U. Maulik",
           title="Validity index for crisp and fuzzy clusters",
           booktitle="Pattern recognition, 37(3)",
           url="https://doi.org/10.1016/j.patcog.2003.06.005",
           bibkey="DBLP:journals/pr/PakhiraBM04")
public class PBMIndex
extends java.lang.Object
implements Evaluator

Compute the PBM index of a clustering

Reference:

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

Since:

0.7.0

Author:

Stephan Baier, Erich Schubert

Nested Class Summary

Nested Classes

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

Field Summary

Fields

Modifier and Type	Field	Description
private NumberVectorDistance<?>	distance	Distance function to use.
private java.lang.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	Description
PBMIndex(NumberVectorDistance<?> distance, NoiseHandling noiseOpt)	Constructor.

Method Summary

Modifier and Type	Method	Description
double	evaluateClustering(Relation<? extends NumberVector> rel, Clustering<?> c)	Evaluate a single clustering.
void	processNewResult(java.lang.Object 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.

distance

private NumberVectorDistance<?> distance

Distance function to use.

key

private java.lang.String key

Key for logging statistics.

Constructor Detail

PBMIndex

public PBMIndex(NumberVectorDistance<?> distance,
                NoiseHandling noiseOpt)

Constructor.

Parameters:

distance - Distance function

noiseOpt - Flag to control noise handling

Method Detail

evaluateClustering

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

Evaluate a single clustering.

Parameters:

rel - Data relation

c - Clustering

Returns:

PBM

processNewResult

public void processNewResult(java.lang.Object result)

Description copied from interface: ResultProcessor

Process a result.

Specified by:

processNewResult in interface ResultProcessor

Parameters:

result - Newly added result subtree.