org.openimaj.math.statistics.distribution

Class SphericalMultivariateGaussian

java.lang.Object

org.openimaj.math.statistics.distribution.AbstractMultivariateGaussian

org.openimaj.math.statistics.distribution.SphericalMultivariateGaussian

All Implemented Interfaces:

MultivariateDistribution, MultivariateGaussian

public class SphericalMultivariateGaussian
extends AbstractMultivariateGaussian

Implementation of a spherical MultivariateGaussian (diagonal covariance matrix with equal values).

Author:

Jonathon Hare (jsh2@ecs.soton.ac.uk)

Field Summary

Fields

Modifier and Type	Field and Description
double	variance The variance

Fields inherited from class org.openimaj.math.statistics.distribution.AbstractMultivariateGaussian

mean

Constructor Summary

Constructors

Constructor and Description
SphericalMultivariateGaussian(int ndims) Construct the Gaussian with the zero mean and unit variance
SphericalMultivariateGaussian(Jama.Matrix mean, double variance) Construct the Gaussian with the provided center and covariance

Method Summary

Modifier and Type	Method and Description
Jama.Matrix	getCovariance() Get the covariance
double	getCovariance(int row, int col) Get a covariance value from the covariance matrix.

Methods inherited from class org.openimaj.math.statistics.distribution.AbstractMultivariateGaussian

estimateLogProbability, estimateLogProbability, estimateProbability, getMean, numDims, sample, sample, toString

Methods inherited from class java.lang.Object

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

Field Detail

variance

public double variance

The variance

Constructor Detail

SphericalMultivariateGaussian

public SphericalMultivariateGaussian(Jama.Matrix mean,
                                     double variance)

Construct the Gaussian with the provided center and covariance

Parameters:

mean - centre of the Gaussian

variance - variance of the Gaussian

SphericalMultivariateGaussian

public SphericalMultivariateGaussian(int ndims)

Construct the Gaussian with the zero mean and unit variance

Parameters:

ndims - number of dimensions

Method Detail

getCovariance

public Jama.Matrix getCovariance()

Description copied from interface: MultivariateGaussian

Get the covariance

Returns:

the covariance

getCovariance

public double getCovariance(int row,
                            int col)

Description copied from interface: MultivariateGaussian

Get a covariance value from the covariance matrix.

This method is provided for efficiency as not all implementations will store the full matrix, and it would be wasteful to create it each time a value is needed.

Parameters:

row - the row of the matrix value to get

col - the column of the matrix value to get

Returns:

the covariance at the given row and column