marytts.machinelearning

Class KMeansClusteringTrainerParams

java.lang.Object

marytts.machinelearning.KMeansClusteringTrainerParams

public class KMeansClusteringTrainerParams
extends Object

Wrapper class for K-Means clustering training parameters

Author:

Oytun Türk

Field Summary

Fields

Modifier and Type	Field and Description
double[]	globalVariances
boolean	isDiagonalOutputCovariance
static boolean	KMEANS_IS_DIAGONAL_COVARIANCE_DEFAULT
static int	KMEANS_MAX_ITERATIONS_DEFAULT
static double	KMEANS_MIN_CLUSTER_CHANGE_PERCENT_DEFAULT
static int	KMEANS_MIN_SAMPLES_IN_ONE_CLUSTER_DEFAULT
int	maxIterations
double	minClusterChangePercent
double	minCovarianceAllowed
int	minSamplesInOneCluster
int	numClusters

Constructor Summary

Constructors

Constructor and Description
KMeansClusteringTrainerParams()
KMeansClusteringTrainerParams(GMMTrainerParams gmmParams)
KMeansClusteringTrainerParams(KMeansClusteringTrainerParams existing)

Method Summary

Methods

Modifier and Type	Method and Description
void	setGlobalVariances(double[] globalVariancesIn)

Methods inherited from class java.lang.Object

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

Field Detail

KMEANS_MAX_ITERATIONS_DEFAULT

public static final int KMEANS_MAX_ITERATIONS_DEFAULT

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Constant Field Values

KMEANS_MIN_CLUSTER_CHANGE_PERCENT_DEFAULT

public static final double KMEANS_MIN_CLUSTER_CHANGE_PERCENT_DEFAULT

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Constant Field Values

KMEANS_IS_DIAGONAL_COVARIANCE_DEFAULT

public static final boolean KMEANS_IS_DIAGONAL_COVARIANCE_DEFAULT

See Also:

Constant Field Values

KMEANS_MIN_SAMPLES_IN_ONE_CLUSTER_DEFAULT

public static final int KMEANS_MIN_SAMPLES_IN_ONE_CLUSTER_DEFAULT

See Also:

Constant Field Values

numClusters

public int numClusters

maxIterations

public int maxIterations

minClusterChangePercent

public double minClusterChangePercent

isDiagonalOutputCovariance

public boolean isDiagonalOutputCovariance

minSamplesInOneCluster

public int minSamplesInOneCluster

minCovarianceAllowed

public double minCovarianceAllowed

globalVariances

public double[] globalVariances

Constructor Detail

KMeansClusteringTrainerParams

public KMeansClusteringTrainerParams()

KMeansClusteringTrainerParams

public KMeansClusteringTrainerParams(GMMTrainerParams gmmParams)

KMeansClusteringTrainerParams

public KMeansClusteringTrainerParams(KMeansClusteringTrainerParams existing)

Method Detail

setGlobalVariances

public void setGlobalVariances(double[] globalVariancesIn)