@Title("EM (Gaussian Mixture Modeling with Expectation Maximization)")
Package elki.clustering.em
ExpectationMaximization clustering algorithm for Gaussian Mixture Modeling
(GMM).

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