org.ddogleg.clustering.gmm

Class GaussianGmm_F64

java.lang.Object

org.ddogleg.clustering.gmm.GaussianGmm_F64

All Implemented Interfaces:

java.io.Serializable

public class GaussianGmm_F64
extends java.lang.Object
implements java.io.Serializable

A Gaussian in a Gaussian Mixture Model. Contains a mean, covariance, and weight. Additional functions are provided to help compute the Gaussian's parameters.

See Also:

Serialized Form

Field Summary

Fields

Modifier and Type	Field and Description
org.ejml.data.DenseMatrix64F	covariance
org.ejml.data.DenseMatrix64F	mean
double	weight

Constructor Summary

Constructors

Constructor and Description
GaussianGmm_F64()
GaussianGmm_F64(int DOF) Declares internal data strucures

Method Summary

Modifier and Type	Method and Description
void	addCovariance(double[] difference, double responsibility) Helper function for computing Gaussian parameters.
void	addMean(double[] point, double responsibility) Helper function for computing Gaussian parameters.
GaussianGmm_F64	copy()
org.ejml.data.DenseMatrix64F	getCovariance()
org.ejml.data.DenseMatrix64F	getMean()
double	getWeight()
void	setCovariance(org.ejml.data.DenseMatrix64F covariance)
void	setMean(org.ejml.data.DenseMatrix64F mean)
void	setMean(double[] point) Sets the mean to be the same as the provided point\
void	setWeight(double weight)
void	zero() Sets the mean, covariance, and weight to zero

Methods inherited from class java.lang.Object

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

Field Detail

mean

public org.ejml.data.DenseMatrix64F mean

covariance

public org.ejml.data.DenseMatrix64F covariance

weight

public double weight

Constructor Detail

GaussianGmm_F64

public GaussianGmm_F64(int DOF)

Declares internal data strucures

Parameters:

DOF - Number of degrees-of-freedom in the sampled points.

GaussianGmm_F64

public GaussianGmm_F64()

Method Detail

zero

public void zero()

Sets the mean, covariance, and weight to zero

addMean

public void addMean(double[] point,
                    double responsibility)

Helper function for computing Gaussian parameters. Adds the point to mean and weight.

addCovariance

public void addCovariance(double[] difference,
                          double responsibility)

Helper function for computing Gaussian parameters. Adds the difference between point and mean to covariance, adjusted by the weight.

setMean

public void setMean(double[] point)

Sets the mean to be the same as the provided point\

copy

public GaussianGmm_F64 copy()

getMean

public org.ejml.data.DenseMatrix64F getMean()

setMean

public void setMean(org.ejml.data.DenseMatrix64F mean)

getCovariance

public org.ejml.data.DenseMatrix64F getCovariance()

setCovariance

public void setCovariance(org.ejml.data.DenseMatrix64F covariance)

getWeight

public double getWeight()

setWeight

public void setWeight(double weight)