Package | Description |
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de.lmu.ifi.dbs.elki.algorithm.clustering.em |
Expectation-Maximization clustering algorithm.
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Modifier and Type | Class and Description |
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class |
AbstractEMModelFactory<V extends NumberVector,M extends MeanModel>
Abstract base class for initializing EM.
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class |
DiagonalGaussianModelFactory<V extends NumberVector>
Factory for EM with multivariate gaussian models using diagonal matrixes.
|
class |
MultivariateGaussianModelFactory<V extends NumberVector>
Factory for EM with multivariate gaussian models (with covariance; also known
as Gaussian Mixture Modeling, GMM).
|
class |
SphericalGaussianModelFactory<V extends NumberVector>
Factory for EM with multivariate gaussian models using diagonal matrixes.
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Modifier and Type | Field and Description |
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protected EMClusterModelFactory<V,M> |
EM.Parameterizer.initializer
Initialization method
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private EMClusterModelFactory<V,M> |
EM.mfactory
Factory for producing the initial cluster model.
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Constructor and Description |
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EM(int k,
double delta,
EMClusterModelFactory<V,M> mfactory,
int maxiter,
boolean soft)
Constructor.
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Copyright © 2015 ELKI Development Team, Lehr- und Forschungseinheit für Datenbanksysteme, Ludwig-Maximilians-Universität München. License information.