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

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.HalkidiVazirgiannisIndex

All Implemented Interfaces:

Serializable, Cloneable

public class HalkidiVazirgiannisIndex
extends ClusteringFitnessFunction

This is the Halkidi-Vazirgiannis Validity Index. The index is described in:

See Also:

Serialized Form

Field Summary

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

arrangedCentroids, arrangedClusters, clusterCenterStrategy, clustersFormed, helper

Constructor Summary

HalkidiVazirgiannisIndex()
Create a new instance of HalkidiVazirgiannisIndex.

Method Summary

protected double	calculateBetweenClusterSeperation() Calculate the distances between cluster separation.
double	calculateFitness()
protected double	calculateWithinClusterScatter() The variance of the dataset is calculated using the dataset mean, whereas the variance of a specific cluster is calculated using the specific cluster's center as determined by the ClusterCenterStrategy.
HalkidiVazirgiannisIndex	getClone() Create a cloned copy of the current object and return it.

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

HalkidiVazirgiannisIndex

public HalkidiVazirgiannisIndex()

Create a new instance of HalkidiVazirgiannisIndex.

Method Detail

calculateFitness

public double calculateFitness()

Specified by:

calculateFitness in class ClusteringFitnessFunction

calculateWithinClusterScatter

protected double calculateWithinClusterScatter()

The variance of the dataset is calculated using the dataset mean, whereas the variance of a specific cluster is calculated using the specific cluster's center as determined by the ClusterCenterStrategy.

Returns:

the within-cluster-scatter for the specific clustering

calculateBetweenClusterSeperation

protected double calculateBetweenClusterSeperation()

Calculate the distances between cluster separation.

Returns:

The distance between cluster separation.

getClone

public HalkidiVazirgiannisIndex getClone()

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()