Uses of Class
elki.clustering.em.models.MultivariateGaussianModel

Packages that use MultivariateGaussianModel

Package	Description
elki.clustering.em.models
elki.clustering.subspace	Axis-parallel subspace clustering algorithms.

Uses of MultivariateGaussianModel in elki.clustering.em.models

Methods in elki.clustering.em.models that return types with arguments of type MultivariateGaussianModel

Modifier and Type	Method	Description
java.util.List<MultivariateGaussianModel>	BetulaMultivariateGaussianModelFactory.buildInitialModels(java.util.List<? extends ClusterFeature> cfs, int k, CFTree<?> tree)
java.util.List<MultivariateGaussianModel>	MultivariateGaussianModelFactory.buildInitialModels(Relation<? extends NumberVector> relation, int k)

Uses of MultivariateGaussianModel in elki.clustering.subspace

Method parameters in elki.clustering.subspace with type arguments of type MultivariateGaussianModel

Modifier and Type	Method	Description
private void	P3C.assignUnassigned(Relation<? extends NumberVector> relation, WritableDataStore<double[]> probClusterIGivenX, java.util.List<MultivariateGaussianModel> models, ModifiableDBIDs unassigned)	Assign unassigned objects to best candidate based on shortest Mahalanobis distance.
private void	P3C.computeFuzzyMembership(Relation<? extends NumberVector> relation, java.util.ArrayList<P3C.Signature> clusterCores, ModifiableDBIDs unassigned, WritableDataStore<double[]> probClusterIGivenX, java.util.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<? extends NumberVector> relation, java.util.List<MultivariateGaussianModel> models, java.util.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.