gov.sandia.cognition.learning.algorithm.clustering.cluster

Class GaussianClusterCreator

java.lang.Object

gov.sandia.cognition.util.AbstractCloneableSerializable

gov.sandia.cognition.learning.algorithm.clustering.cluster.GaussianClusterCreator

All Implemented Interfaces:

ClusterCreator<GaussianCluster,Vector>, CloneableSerializable, java.io.Serializable, java.lang.Cloneable

@CodeReview(reviewer="Kevin R. Dixon",
            date="2008-07-22",
            changesNeeded=false,
            comments={"Created default constructor.","Otherwise code looks fine."})
public class GaussianClusterCreator
extends AbstractCloneableSerializable
implements ClusterCreator<GaussianCluster,Vector>

The GaussianClusterCreator class implements a ClusterCreator for creating GaussianClusters by fitting a MultivariateGaussian to the given set of example vectors.

Since:

1.0

Author:

Justin Basilico

See Also:

Serialized Form

Field Summary

Fields

Modifier and Type	Field and Description
static double	DEFAULT_COVARIANCE Default covariance, 1.0E-4

Constructor Summary

Constructors

Constructor and Description
GaussianClusterCreator() Default constructor
GaussianClusterCreator(double defaultCovariance) Creates a new instance of GaussianClusterCreator

Method Summary

Modifier and Type	Method and Description
GaussianCluster	createCluster(java.util.Collection<? extends Vector> members) Creates a GaussianCluster from a given set of vectors by fitting a Gaussian to those vectors.
double	getDefaultCovariance() Getter for defaultCovariance
void	setDefaultCovariance(double defaultCovariance) Setter for defaultCovariance

Methods inherited from class gov.sandia.cognition.util.AbstractCloneableSerializable

clone

Methods inherited from class java.lang.Object

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

Field Detail

DEFAULT_COVARIANCE

public static final double DEFAULT_COVARIANCE

Default covariance, 1.0E-4

See Also:

Constant Field Values

Constructor Detail

GaussianClusterCreator

public GaussianClusterCreator()

Default constructor

GaussianClusterCreator

public GaussianClusterCreator(double defaultCovariance)

Creates a new instance of GaussianClusterCreator

Parameters:

defaultCovariance - amount to add to the diagonals of the covariance matrix, typically on the order of 1e-4.

Method Detail

createCluster

public GaussianCluster createCluster(java.util.Collection<? extends Vector> members)

Creates a GaussianCluster from a given set of vectors by fitting a Gaussian to those vectors.

Specified by:

createCluster in interface ClusterCreator<GaussianCluster,Vector>

Parameters:

members - The members for the new cluster.

Returns:

A new GaussianCluster generated by fitting the given members to a MultivariateGaussian.

getDefaultCovariance

public double getDefaultCovariance()

Getter for defaultCovariance

Returns:

amount to add to the diagonals of the covariance matrix, typically on the order of 1e-4.

setDefaultCovariance

public void setDefaultCovariance(double defaultCovariance)

Setter for defaultCovariance

Parameters:

defaultCovariance - amount to add to the diagonals of the covariance matrix, typically on the order of 1e-4.