Uses of Class
de.lmu.ifi.dbs.elki.algorithm.clustering.em.MultivariateGaussianModel

Packages that use MultivariateGaussianModel

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.

Uses of MultivariateGaussianModel in de.lmu.ifi.dbs.elki.algorithm.clustering.em

Methods in de.lmu.ifi.dbs.elki.algorithm.clustering.em that return types with arguments of type MultivariateGaussianModel

Modifier and Type	Method and Description
List<MultivariateGaussianModel>	MultivariateGaussianModelFactory.buildInitialModels(Database database, Relation<V> relation, int k, NumberVectorDistanceFunction<? super V> df)

Uses of MultivariateGaussianModel in de.lmu.ifi.dbs.elki.algorithm.clustering.subspace

Method parameters in de.lmu.ifi.dbs.elki.algorithm.clustering.subspace with type arguments of type MultivariateGaussianModel

Modifier and Type	Method and Description
private void	P3C.assignUnassigned(Relation<V> relation, WritableDataStore<double[]> probClusterIGivenX, List<MultivariateGaussianModel> models, ModifiableDBIDs unassigned) Assign unassigned objects to best candidate based on shortest Mahalanobis distance.
private void	P3C.computeFuzzyMembership(Relation<V> relation, ArrayList<P3C.Signature> clusterCores, ModifiableDBIDs unassigned, WritableDataStore<double[]> probClusterIGivenX, List<MultivariateGaussianModel> models, int dim) Computes a fuzzy membership with the weights based on which cluster cores each data point is part of.
private void	P3C.findOutliers(Relation<V> relation, List<MultivariateGaussianModel> models, ArrayList<P3C.ClusterCandidate> clusterCandidates, ModifiableDBIDs noise) Performs outlier detection by testing the Mahalanobis distance of each point in a cluster against the critical value of the ChiSquared distribution with as many degrees of freedom as the cluster has relevant attributes.