Uses of Interface
jsat.distributions.multivariate.MultivariateDistribution

Packages that use MultivariateDistribution

Package	Description
jsat.classifiers.bayesian
jsat.clustering
jsat.distributions.multivariate

Uses of MultivariateDistribution in jsat.classifiers.bayesian

Constructors in jsat.classifiers.bayesian with parameters of type MultivariateDistribution

Constructor and Description
BestClassDistribution(MultivariateDistribution baseDist)
BestClassDistribution(MultivariateDistribution baseDist, boolean usePriors)

Uses of MultivariateDistribution in jsat.clustering

Classes in jsat.clustering that implement MultivariateDistribution

Modifier and Type	Class and Description
class	EMGaussianMixture An implementation of Gaussian Mixture models that learns the specified number of Gaussians using Expectation Maximization algorithm.

Uses of MultivariateDistribution in jsat.distributions.multivariate

Classes in jsat.distributions.multivariate that implement MultivariateDistribution

Modifier and Type	Class and Description
class	Dirichlet An implementation of the Dirichlet distribution.
class	MetricKDE MetricKDE is a generalization of the KernelDensityEstimator to the multivariate case.
class	MultivariateDistributionSkeleton Common class for implementing a multivariate distribution.
class	MultivariateKDE There are several methods of generalizing the KernelDensityEstimator to the multivariate case.
class	NormalM Class for the multivariate Normal distribution.
class	ProductKDE The Product Kernel Density Estimator is a generalization of the KernelDensityEstimator to the multivariate case.
class	SymmetricDirichlet The Symmetric Dirichlet Distribution is a special case of the Dirichlet distribution, and occurs when all alphas have the same value.

Methods in jsat.distributions.multivariate that return MultivariateDistribution

Modifier and Type	Method and Description
abstract MultivariateDistribution	MultivariateDistributionSkeleton.clone()
MultivariateDistribution	MultivariateDistribution.clone()