Uses of Interface
org.openimaj.math.statistics.distribution.MultivariateGaussian

Packages that use MultivariateGaussian

Package	Description
org.openimaj.math.geometry.shape
org.openimaj.math.statistics.distribution
org.openimaj.math.statistics.distribution.metrics
org.openimaj.ml.gmm

Uses of MultivariateGaussian in org.openimaj.math.geometry.shape

Methods in org.openimaj.math.geometry.shape with parameters of type MultivariateGaussian

Modifier and Type	Method and Description
static Ellipse	EllipseUtilities.ellipseFromGaussian(MultivariateGaussian gaussian, float scale) Construct an ellipse that encompasses the shape of a CachingMultivariateGaussian.

Uses of MultivariateGaussian in org.openimaj.math.statistics.distribution

Classes in org.openimaj.math.statistics.distribution that implement MultivariateGaussian

Modifier and Type	Class and Description
class	AbstractMultivariateGaussian Abstract base class for MultivariateGaussian implementations
class	CachingMultivariateGaussian A single multidimensional Gaussian.
class	DiagonalMultivariateGaussian Implementation of a MultivariateGaussian with a diagonal covariance matrix.
class	FullMultivariateGaussian Implementation of a basic MultivariateGaussian with a full covariance matrix.
class	SphericalMultivariateGaussian Implementation of a spherical MultivariateGaussian (diagonal covariance matrix with equal values).

Fields in org.openimaj.math.statistics.distribution declared as MultivariateGaussian

Modifier and Type	Field and Description
MultivariateGaussian[]	MixtureOfGaussians.gaussians The individual gaussians

Methods in org.openimaj.math.statistics.distribution that return MultivariateGaussian

Modifier and Type	Method and Description
static MultivariateGaussian	CachingMultivariateGaussian.estimate(double[][] samples) Estimate a multidimensional Gaussian from the data
static MultivariateGaussian	CachingMultivariateGaussian.estimate(Jama.Matrix samples) Estimate a multidimensional Gaussian from the data
MultivariateGaussian[]	MixtureOfGaussians.getGaussians() Get the gaussians that make up the mixture

Methods in org.openimaj.math.statistics.distribution with parameters of type MultivariateGaussian

Modifier and Type	Method and Description
static double[][]	MixtureOfGaussians.logProbability(double[][] x, MultivariateGaussian[] gaussians) Compute the log probability of the given data points belonging to each of the given gaussians

Constructors in org.openimaj.math.statistics.distribution with parameters of type MultivariateGaussian

Constructor and Description
MixtureOfGaussians(MultivariateGaussian[] gaussians, double[] weights) Construct the mixture with the given gaussians and weights

Uses of MultivariateGaussian in org.openimaj.math.statistics.distribution.metrics

Methods in org.openimaj.math.statistics.distribution.metrics with parameters of type MultivariateGaussian

Modifier and Type	Method and Description
double	GaussianKLDivergence.compare(MultivariateGaussian o1, MultivariateGaussian o2)

Uses of MultivariateGaussian in org.openimaj.ml.gmm

Methods in org.openimaj.ml.gmm that return MultivariateGaussian

Modifier and Type	Method and Description
protected abstract MultivariateGaussian[]	GaussianMixtureModelEM.CovarianceType.createGaussians(int ngauss, int ndims)

Methods in org.openimaj.ml.gmm with parameters of type MultivariateGaussian

Modifier and Type	Method and Description
protected abstract void	GaussianMixtureModelEM.CovarianceType.setCovariances(MultivariateGaussian[] gaussians, Jama.Matrix cv)