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.
-