net.sourceforge.cilib.functions.clustering.validityindices
Class GeneralisedDunnIndex
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
- All Implemented Interfaces:
- Serializable, Cloneable
- Direct Known Subclasses:
- DunnIndex, DunnIndex33
public abstract class GeneralisedDunnIndex
- extends ScatterSeperationRatio
This is the Generalised Dunn Index.
Illustrated in:
- Author:
- Theuns Cloete
- See Also:
- Serialized Form
Methods inherited from class net.sourceforge.cilib.functions.clustering.ClusteringFitnessFunction |
calculateAverageIntraClusterDistance, calculateAverageSetDistance, calculateClusterDiameter, calculateIntraClusterDistance, calculateMaximumAverageDistance, calculateMaximumInterClusterDistance, calculateMaximumSetDistance, calculateMinimumInterClusterDistance, calculateMinimumSetDistance, calculateQuantisationError, evaluate, getClone, getMaximum, getMinimum, setClusterCenterStrategy, validateFitness |
Methods inherited from class java.lang.Object |
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
GeneralisedDunnIndex
public GeneralisedDunnIndex()
calculateFitness
public double calculateFitness()
- This is a template method. It calls the calculateWithinClusterScatter and
calculateBetweenClusterSeperation methods defined in ScatterSeperationRatio
that should be implemented by sub-classes.
- Specified by:
calculateFitness
in class ClusteringFitnessFunction
worstFitness
protected Double worstFitness()
- Overrides:
worstFitness
in class ClusteringFitnessFunction
Copyright © 2009 CIRG. All Rights Reserved.