edu.cmu.sphinx.decoder.adaptation

Class ClusteredDensityFileData

java.lang.Object

edu.cmu.sphinx.decoder.adaptation.ClusteredDensityFileData

public class ClusteredDensityFileData
extends java.lang.Object

Used for clustering gaussians. The clustering is performed by Euclidean distance criterion. The "k-means" clustering algorithm is used for clustering the gaussians.

Constructor Summary

Constructors

Constructor and Description
ClusteredDensityFileData(Loader loader, int numberOfClusters)

Method Summary

Modifier and Type	Method and Description
int	getClassIndex(int gaussian) Used for accessing the index that is specific to a gaussian.
int	getNumberOfClusters()

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

ClusteredDensityFileData

public ClusteredDensityFileData(Loader loader,
                                int numberOfClusters)

Method Detail

getNumberOfClusters

public int getNumberOfClusters()

getClassIndex

public int getClassIndex(int gaussian)

Used for accessing the index that is specific to a gaussian.

Parameters:

gaussian - provided in a i * numStates + gaussianIndex form.

Returns:

class index