Uses of Class
elki.clustering.em.models.TextbookMultivariateGaussianModel

Packages that use TextbookMultivariateGaussianModel

Package	Description
elki.clustering.em	Expectation-Maximization clustering algorithm for Gaussian Mixture Modeling (GMM).
elki.clustering.em.models

Uses of TextbookMultivariateGaussianModel in elki.clustering.em

Fields in elki.clustering.em with type parameters of type TextbookMultivariateGaussianModel

Modifier and Type	Field	Description
private java.util.List<TextbookMultivariateGaussianModel>	KDTreeEM.models	Current clusters.
private java.util.List<TextbookMultivariateGaussianModel>	KDTreeEM.newmodels	Models for next iteration.

Methods in elki.clustering.em with parameters of type TextbookMultivariateGaussianModel

Modifier and Type	Method	Description
private void	KDTreeEM.calculateModelLimits(KDTreeEM.KDTree node, TextbookMultivariateGaussianModel model, double[] minpnt, double[] maxpnt, double[] ret)	Calculates the model limits inside this node by translating the Gaussian model into a squared function.

Uses of TextbookMultivariateGaussianModel in elki.clustering.em.models

Methods in elki.clustering.em.models that return types with arguments of type TextbookMultivariateGaussianModel

Modifier and Type	Method	Description
java.util.List<TextbookMultivariateGaussianModel>	TextbookMultivariateGaussianModelFactory.buildInitialModels(Relation<? extends NumberVector> relation, int k)

Methods in elki.clustering.em.models with parameters of type TextbookMultivariateGaussianModel

Modifier and Type	Method	Description
void	TextbookMultivariateGaussianModel.clone(TextbookMultivariateGaussianModel other)	Copy the parameters of another model.