@Title("EM (Gaussian Mixture Modeling with Expectation Maximization)")

Package elki.clustering.em

Expectation-Maximization clustering algorithm for Gaussian Mixture Modeling (GMM).

Class Summary

Class	Description
BetulaGMM	Clustering by expectation maximization (EM-Algorithm), also known as Gaussian Mixture Modeling (GMM), with optional MAP regularization.
BetulaGMM.Par	Parameterizer
BetulaGMMWeighted	Clustering by expectation maximization (EM-Algorithm), also known as Gaussian Mixture Modeling (GMM), with optional MAP regularization.
BetulaGMMWeighted.Par	Parameterizer
EM<O,M extends MeanModel>	Clustering by expectation maximization (EM-Algorithm), also known as Gaussian Mixture Modeling (GMM), with optional MAP regularization.
EM.Par<O,M extends MeanModel>	Parameterization class.
KDTreeEM	Clustering by expectation maximization (EM-Algorithm), also known as Gaussian Mixture Modeling (GMM), calculated on a kd-tree.
KDTreeEM.KDTree	KDTree class with the statistics needed for EM clustering.
KDTreeEM.Par	Parameterization class.