Package elki.evaluation.clustering.internal

Class SimplifiedSilhouette

java.lang.Object

elki.evaluation.clustering.internal.SimplifiedSilhouette

All Implemented Interfaces:

Evaluator, ResultProcessor

public class SimplifiedSilhouette
extends java.lang.Object
implements Evaluator

Compute the simplified silhouette of a data set.

The simplified silhouette does not use pairwise distances, but distances to centroids only.

Since:

0.7.0

Author:

Stephan Baier, Erich Schubert

Nested Class Summary

Nested Classes

Modifier and Type	Class	Description
static class	SimplifiedSilhouette.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	noiseOption	Option for noise handling.
private boolean	penalize	Penalize noise, if NoiseHandling.IGNORE_NOISE is set.

Constructor Summary

Constructors

Constructor	Description
SimplifiedSilhouette(NumberVectorDistance<?> distance, NoiseHandling noiseOpt, boolean penalize)	Constructor.

Method Summary

Modifier and Type	Method	Description
static int	centroids(Relation<? extends NumberVector> rel, java.util.List<? extends Cluster<?>> clusters, NumberVector[] centroids, NoiseHandling noiseOption)	Compute centroids.
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.

noiseOption

private NoiseHandling noiseOption

Option for noise handling.

distance

private NumberVectorDistance<?> distance

Distance function to use.

penalize

private boolean penalize

Penalize noise, if NoiseHandling.IGNORE_NOISE is set.

key

private java.lang.String key

Key for logging statistics.

Constructor Detail

SimplifiedSilhouette

public SimplifiedSilhouette(NumberVectorDistance<?> distance,
                            NoiseHandling noiseOpt,
                            boolean penalize)

Constructor.

Parameters:

distance - Distance function

noiseOpt - Flag to control noise handling

penalize - noise, if NoiseHandling.IGNORE_NOISE is set.

Method Detail

evaluateClustering

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

Evaluate a single clustering.

Parameters:

rel - Data relation

c - Clustering

Returns:

Mean simplified silhouette

centroids

public static int centroids(Relation<? extends NumberVector> rel,
                            java.util.List<? extends Cluster<?>> clusters,
                            NumberVector[] centroids,
                            NoiseHandling noiseOption)

Compute centroids.

Parameters:

rel - Data relation

clusters - Clusters

centroids - Output array for centroids

Returns:

Number of ignored noise elements.

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.