Uses of Package
de.lmu.ifi.dbs.elki.algorithm.clustering.em

Packages that use de.lmu.ifi.dbs.elki.algorithm.clustering.em

Package	Description
de.lmu.ifi.dbs.elki.algorithm.clustering.em	Expectation-Maximization clustering algorithm.
de.lmu.ifi.dbs.elki.algorithm.clustering.subspace	Axis-parallel subspace clustering algorithms The clustering algorithms in this package are instances of both, projected clustering algorithms or subspace clustering algorithms according to the classical but somewhat obsolete classification schema of clustering algorithms for axis-parallel subspaces.
de.lmu.ifi.dbs.elki.algorithm.outlier.clustering	Clustering based outlier detection.

Classes in de.lmu.ifi.dbs.elki.algorithm.clustering.em used by de.lmu.ifi.dbs.elki.algorithm.clustering.em

Class and Description
AbstractEMModelFactory Abstract base class for initializing EM.
AbstractEMModelFactory.Parameterizer Parameterization class.
DiagonalGaussianModel Simpler model for a single Gaussian cluster, without covariances.
DiagonalGaussianModelFactory Factory for EM with multivariate gaussian models using diagonal matrixes.
EM Clustering by expectation maximization (EM-Algorithm), also known as Gaussian Mixture Modeling (GMM), with optional MAP regularization.
EMClusterModel Models useable in EM clustering.
EMClusterModelFactory Factory for initializing the EM models.
MultivariateGaussianModel Model for a single Gaussian cluster.
MultivariateGaussianModelFactory Factory for EM with multivariate Gaussian models (with covariance; also known as Gaussian Mixture Modeling, GMM).
SphericalGaussianModel Simple spherical Gaussian cluster.
SphericalGaussianModelFactory Factory for EM with multivariate gaussian models using a single variance.
TextbookMultivariateGaussianModel Numerically problematic implementation of the GMM model, using the textbook algorithm.
TextbookMultivariateGaussianModelFactory Factory for EM with multivariate Gaussian model, using the textbook algorithm.
TwoPassMultivariateGaussianModel Model for a single Gaussian cluster, using two-passes for slightly better numerics.
TwoPassMultivariateGaussianModelFactory Factory for EM with multivariate Gaussian models (with covariance; also known as Gaussian Mixture Modeling, GMM).

Classes in de.lmu.ifi.dbs.elki.algorithm.clustering.em used by de.lmu.ifi.dbs.elki.algorithm.clustering.subspace

Class and Description
MultivariateGaussianModel Model for a single Gaussian cluster.

Classes in de.lmu.ifi.dbs.elki.algorithm.clustering.em used by de.lmu.ifi.dbs.elki.algorithm.outlier.clustering

Class and Description
EM Clustering by expectation maximization (EM-Algorithm), also known as Gaussian Mixture Modeling (GMM), with optional MAP regularization.