net.sourceforge.cilib.functions.clustering.validityindices
Class DunnIndex33

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.GeneralisedDunnIndex
                      net.sourceforge.cilib.functions.clustering.validityindices.DunnIndex33

All Implemented Interfaces:

Serializable, Cloneable

Direct Known Subclasses:

DunnIndex53

public class DunnIndex33
extends GeneralisedDunnIndex

This is the Dunn Index 33. Due to Equations 22 and 28 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

DunnIndex33()

Method Summary

protected double	calculateBetweenClusterSeperation(int i, int j) This method implements Equation 22 in the above-mentioned article.
protected double	calculateWithinClusterScatter(int k) This method implements Equation 28 in the above-mentioned article.
DunnIndex33	getClone() Create a cloned copy of the current object and return it.

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

calculateFitness, worstFitness

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

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

DunnIndex33

public DunnIndex33()

Method Detail

calculateWithinClusterScatter

protected double calculateWithinClusterScatter(int k)

This method implements Equation 28 in the above-mentioned article.

Specified by:

calculateWithinClusterScatter in class ScatterSeperationRatio

calculateBetweenClusterSeperation

protected double calculateBetweenClusterSeperation(int i,
                                                   int j)

This method implements Equation 22 in the above-mentioned article.

Specified by:

calculateBetweenClusterSeperation in class ScatterSeperationRatio

getClone

public DunnIndex33 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()