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## 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
`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.

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