Package org.ddogleg.clustering.gmm

Interface Summary

Interface	Description
InitializeGmm_F64	Selects initial Gaussians for EM algorithm.

Class Summary

Class	Description
AssignGmm_F64	Given a mixture model it will compute the hard and soft assignment of a point to Gaussians in the cluster.
ExpectationMaximizationGmm_F64	Standard expectation maximization based approach to fitting mixture-of-Gaussian models to a set of data.
ExpectationMaximizationGmm_F64.PointInfo
GaussianGmm_F64	A Gaussian in a Gaussian Mixture Model.
GaussianLikelihoodManager	Computes the likelihood of a Gaussian distribution.
SeedFromKMeans_F64	Initializes the mixture models by applying K-Means first.
TestAssignGmm_F64
TestExpectationMaximizationGmm_F64
TestGaussianGmm_F64
TestGaussianLikelihoodManager
TestSeedFromKMeans_F64
TestSeedFromKMeans_F64.FixedSeeds