Package elki.evaluation.clustering.internal

Class ClusterRadius

java.lang.Object

elki.evaluation.clustering.internal.ClusterRadius

All Implemented Interfaces:

Evaluator, ResultProcessor

public class ClusterRadius
extends java.lang.Object
implements Evaluator

Evaluate a clustering by the (weighted) cluster radius. This is based on a MiniMax kind of cluster model.

Since:

0.8.0

Author:

Erich Schubert

Nested Class Summary

Nested Classes

Modifier and Type	Class	Description
static class	ClusterRadius.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	Handling of Noise clusters

Constructor Summary

Constructors

Constructor	Description
ClusterRadius(NumberVectorDistance<?> distance, NoiseHandling noiseOption)	Constructor.

Method Summary

Modifier and Type	Method	Description
double	evaluateClustering(Database db, 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

Handling of Noise clusters

distance

private NumberVectorDistance<?> distance

Distance function to use.

key

private java.lang.String key

Key for logging statistics.

Constructor Detail

ClusterRadius

public ClusterRadius(NumberVectorDistance<?> distance,
                     NoiseHandling noiseOption)

Constructor.

Parameters:

distance - Distance function to use.

noiseOption - 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:

ssq

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.