Uses of Class
de.lmu.ifi.dbs.elki.data.model.MeanModel

Packages that use MeanModel

de.lmu.ifi.dbs.elki.algorithm.clustering	Clustering algorithms Clustering algorithms are supposed to implement the Algorithm-Interface.
de.lmu.ifi.dbs.elki.data.model	Cluster models classes for various algorithms.

Uses of MeanModel in de.lmu.ifi.dbs.elki.algorithm.clustering

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

protected Clustering<MeanModel<V>>

KMeans.runInTime(Database<V> database) Performs the k-means algorithm on the given database.

Uses of MeanModel in de.lmu.ifi.dbs.elki.data.model

Subclasses of MeanModel in de.lmu.ifi.dbs.elki.data.model

class

EMModel<V extends FeatureVector<V,?>> Cluster model of an EM cluster, providing a mean and a full covariance Matrix.