net.sourceforge.cilib.functions.clustering.validityindices
Class DaviesBouldinIndex

java.lang.Object
  net.sourceforge.cilib.functions.Function
      net.sourceforge.cilib.functions.ContinuousFunction
          net.sourceforge.cilib.functions.clustering.ClusteringFitnessFunction
              net.sourceforge.cilib.functions.clustering.validityindices.ScatterSeperationRatio
                  net.sourceforge.cilib.functions.clustering.validityindices.DaviesBouldinIndex

All Implemented Interfaces:

Serializable, Cloneable

public class DaviesBouldinIndex
extends ScatterSeperationRatio

This is the Davies-Bouldin Validity Index. Index is given in

Author:

Theuns Cloete

See Also:

Serialized Form

Field Summary

Fields inherited from class net.sourceforge.cilib.functions.clustering.validityindices.ScatterSeperationRatio

betweenClusterSeperationCache, withinClusterScatterCache

Fields inherited from class net.sourceforge.cilib.functions.clustering.ClusteringFitnessFunction

arrangedCentroids, arrangedClusters, clusterCenterStrategy, clustersFormed, helper

Constructor Summary

DaviesBouldinIndex()

Method Summary

protected double	calculateBetweenClusterSeperation(int i, int j) The alpha value of the distance measure should correspond to the p value of the Davies-Bouldin Validity Index.
double	calculateFitness()
protected double	calculateWithinClusterScatter(int k)
DaviesBouldinIndex	getClone() Create a cloned copy of the current object and return it.

Methods inherited from class net.sourceforge.cilib.functions.clustering.validityindices.ScatterSeperationRatio

cacheBetweenClusterSeperation, cacheWithinClusterScatter, getBetweenClusterSeperation, getWithinClusterScatter

Methods inherited from class net.sourceforge.cilib.functions.clustering.ClusteringFitnessFunction

calculateAverageIntraClusterDistance, calculateAverageSetDistance, calculateClusterDiameter, calculateIntraClusterDistance, calculateMaximumAverageDistance, calculateMaximumInterClusterDistance, calculateMaximumSetDistance, calculateMinimumInterClusterDistance, calculateMinimumSetDistance, calculateQuantisationError, evaluate, getMaximum, getMinimum, setClusterCenterStrategy, validateFitness, worstFitness

Methods inherited from class net.sourceforge.cilib.functions.ContinuousFunction

evaluate

Methods inherited from class net.sourceforge.cilib.functions.Function

getBehavioralDomainRegistry, getDimension, getDomain, getDomainRegistry, setBehavioralDomain, setBehaviouralDomainRegistry, setDomain

Methods inherited from class java.lang.Object

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

Constructor Detail

DaviesBouldinIndex

public DaviesBouldinIndex()

Method Detail

calculateFitness

public double calculateFitness()

Specified by:

calculateFitness in class ClusteringFitnessFunction

calculateWithinClusterScatter

protected double calculateWithinClusterScatter(int k)

Specified by:

calculateWithinClusterScatter in class ScatterSeperationRatio

calculateBetweenClusterSeperation

protected double calculateBetweenClusterSeperation(int i,
                                                   int j)

The alpha value of the distance measure should correspond to the p value of the Davies-Bouldin Validity Index.

Specified by:

calculateBetweenClusterSeperation in class ScatterSeperationRatio

getClone

public DaviesBouldinIndex getClone()

Description copied from class: ContinuousFunction

Create a cloned copy of the current object and return it. In general the created copy will be a deep copy of the provided instance. As a result this operation an be quite expensive if used incorrectly.

Specified by:

getClone in interface Cloneable

Specified by:

getClone in class ClusteringFitnessFunction

Returns:

An exact clone of the current object instance.

See Also:

Object.clone()