org.encog.ml

Interface MLClustering

All Superinterfaces:

MLMethod

All Known Implementing Classes:

KMeansClustering

public interface MLClustering
extends MLMethod

A machine learning method that is used to break data into clusters. The number of clusters is usually defined beforehand. This differs from the MLClassification method in that the data is clustered as an entire group. If additional data must be clustered later, the entire group must be reclustered.

Method Summary

Modifier and Type	Method and Description
MLCluster[]	getClusters()
void	iteration() Perform the training iteration.
void	iteration(int count) Perform the specified number of training iterations.
int	numClusters()

Method Detail

iteration

void iteration()

Perform the training iteration.

iteration

void iteration(int count)

Perform the specified number of training iterations.

Parameters:

count - The number of training iterations.

getClusters

MLCluster[] getClusters()

Returns:

The clusters.

numClusters

int numClusters()

Returns:

The number of clusters.