Package elki.clustering.em.models

Interface Summary

Interface	Description
BetulaClusterModel	Models usable in Betula EM clustering.
BetulaClusterModelFactory<M extends BetulaClusterModel>	Factory for initializing the EM models.
EMClusterModel<O,M extends Model>	Models usable in EM clustering.
EMClusterModelFactory<O,M extends Model>	Factory for initializing the EM models.

Class Summary

Class	Description
BetulaDiagonalGaussianModelFactory	Factory for EM with multivariate gaussian models using diagonal matrixes.
BetulaDiagonalGaussianModelFactory.Par	Parameterization class
BetulaMultivariateGaussianModelFactory	Factory for EM with multivariate gaussian models using diagonal matrixes.
BetulaMultivariateGaussianModelFactory.Par	Parameterization class
BetulaSphericalGaussianModelFactory	Factory for EM with multivariate gaussian models using a single variance.
BetulaSphericalGaussianModelFactory.Par	Parameterization class
DiagonalGaussianModel	Simpler model for a single Gaussian cluster, without covariances.
DiagonalGaussianModelFactory	Factory for EM with multivariate gaussian models using diagonal matrixes.
MultivariateGaussianModel	Model for a single multivariate Gaussian cluster with arbitrary rotation.
MultivariateGaussianModelFactory	Factory for EM with multivariate Gaussian models (with covariance; also known as Gaussian Mixture Modeling, GMM).
SphericalGaussianModel	Simple spherical Gaussian cluster (scaled identity matrixes).
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.
TextbookSphericalGaussianModel	Simple spherical Gaussian cluster.
TextbookSphericalGaussianModelFactory	Factory for EM with multivariate gaussian models using a single variance.
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).