# Uses of Packageelki.clustering.em

• Packages that use elki.clustering.em
Package Description
elki.clustering.em
Expectation-Maximization clustering algorithm for Gaussian Mixture Modeling (GMM).
• Classes in elki.clustering.em used by elki.clustering.em
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.
EM
Clustering by expectation maximization (EM-Algorithm), also known as Gaussian Mixture Modeling (GMM), with optional MAP regularization.
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.