marytts.machinelearning

Class ClusteredDataGenerator

java.lang.Object

marytts.machinelearning.ClusteredDataGenerator

public class ClusteredDataGenerator
extends Object

Generates clustered data for testing machine learning algorithms

Author:

Oytun Türk

Field Summary

Fields

Modifier and Type	Field and Description
double[]	data
static double	DEFAULT_INIT_MEAN
static int	DEFAULT_NUM_CLUSTERS
static int	DEFAULT_NUM_SAMPLES_IN_CLUSTERS
static double	DEFAULT_VARIANCE

Constructor Summary

Constructors

Constructor and Description
ClusteredDataGenerator()
ClusteredDataGenerator(double[] clusterMeans)
ClusteredDataGenerator(double[] clusterMeans, double variance)
ClusteredDataGenerator(double[] clusterMeans, double[] variances)
ClusteredDataGenerator(double[] clusterMeans, double[] variances, int numSamplesPerCluster)
ClusteredDataGenerator(int numClusters, int numSamplesInClusters)
ClusteredDataGenerator(int numClusters, int numSamplesInClusters, double initMean)
ClusteredDataGenerator(int numClusters, int numSamplesInClusters, double initMean, double variance)

Method Summary

Methods

Modifier and Type	Method and Description
void	init(double[] clusterMeans)
void	init(double[] clusterMeans, double variance)
void	init(double[] clusterMeans, double[] variances, int numSamplesPerCluster)
void	init(double[] clusterMeans, double variance, int numClusters)
static void	main(String[] args)

Methods inherited from class java.lang.Object

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

Field Detail

DEFAULT_NUM_SAMPLES_IN_CLUSTERS

public static final int DEFAULT_NUM_SAMPLES_IN_CLUSTERS

See Also:

Constant Field Values

DEFAULT_NUM_CLUSTERS

public static final int DEFAULT_NUM_CLUSTERS

See Also:

Constant Field Values

DEFAULT_INIT_MEAN

public static final double DEFAULT_INIT_MEAN

See Also:

Constant Field Values

DEFAULT_VARIANCE

public static final double DEFAULT_VARIANCE

See Also:

Constant Field Values

data

public double[] data

Constructor Detail

ClusteredDataGenerator

public ClusteredDataGenerator()

ClusteredDataGenerator

public ClusteredDataGenerator(int numClusters,
                      int numSamplesInClusters)

ClusteredDataGenerator

public ClusteredDataGenerator(int numClusters,
                      int numSamplesInClusters,
                      double initMean)

ClusteredDataGenerator

public ClusteredDataGenerator(int numClusters,
                      int numSamplesInClusters,
                      double initMean,
                      double variance)

ClusteredDataGenerator

public ClusteredDataGenerator(double[] clusterMeans)

ClusteredDataGenerator

public ClusteredDataGenerator(double[] clusterMeans,
                      double variance)

ClusteredDataGenerator

public ClusteredDataGenerator(double[] clusterMeans,
                      double[] variances)

ClusteredDataGenerator

public ClusteredDataGenerator(double[] clusterMeans,
                      double[] variances,
                      int numSamplesPerCluster)

Method Detail

init

public void init(double[] clusterMeans)

init

public void init(double[] clusterMeans,
        double variance)

init

public void init(double[] clusterMeans,
        double variance,
        int numClusters)

init

public void init(double[] clusterMeans,
        double[] variances,
        int numSamplesPerCluster)

main

public static void main(String[] args)