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Class Summary |
| ClusteringFitnessFunction |
This abstract class defines member variables and member functions that can be used by
subclasses to calculate the fitness of a particular clustering in their respective
evaluate methods.
This class makes extensive use of the ClusteringUtils
helper class. |
| InterClusterDistance |
This clustering fitness function will probably never be used to train on directly. |
| IntraClusterDistance |
This clustering fitness function will probably never be used to train on directly. |
| KHarmonicMeansFunction |
This is the k-harmonic means clustering fitness function. |
| NonParametricClusteringFunction |
This class makes use of the helper/member functions defined and implemented in
{@linkplain ClusteringFitnessFunction) to calculate a non-parameterised fitness of a particular
clustering in the calculateFitness method. |
| ParametricClusteringFunction |
This class makes use of the helper/member functions defined and implemented in
ClusteringFitnessFunction to calculate a parameterised fitness of a particular
clustering in the calculateFitness method. |
| ParametricWithQuantisationErrorFunction |
This class makes use of the helper/member functions defined and implemented in
{@linkplain ClusteringFitnessFunction) to calculate an improved parameterised fitness of a
particular clustering in the calculateFitness method. |
| QuantisationErrorFunction |
This class makes use of the helper/member functions defined and implemented in
ClusteringFitnessFunction to calculate the Quantisation Error of a particular
clustering in the calculateFitness method. |