Package de.lmu.ifi.dbs.elki.data.model

Cluster models classes for various algorithms.

See: Description

Interface Summary

Interface	Description
Model	Base interface for Model classes.

Class Summary

Class	Description
AbstractModel	Abstract base class for Cluster Models.
BiclusterModel	Wrapper class to provide the basic properties of a Bicluster.
BiclusterWithInversionsModel	This code was factored out of the Bicluster class, since not all biclusters have inverted rows.
ClusterModel	Generic cluster model.
CoreObjectsModel	Cluster model using "core" objects.
CorrelationAnalysisSolution<V extends NumberVector>	A solution of correlation analysis is a matrix of equations describing the dependencies.
CorrelationModel<V extends FeatureVector<?>>	Cluster model using a filtered PCA result and an centroid.
DendrogramModel	Model for dendrograms, provides the distance to the child cluster.
DimensionModel	Cluster model just providing a cluster dimensionality.
EMModel	Cluster model of an EM cluster, providing a mean and a full covariance Matrix.
KMeansModel	Trivial subclass of the MeanModel that indicates the clustering to be produced by k-means (so the Voronoi cell visualization is sensible).
LinearEquationModel	Cluster model containing a linear equation system for the cluster.
MeanModel	Cluster model that stores a mean for the cluster.
MedoidModel	Cluster model that stores a mean for the cluster.
ModelUtil	Utility classes for dealing with cluster models.
OPTICSModel	Model for an OPTICS cluster
PrototypeModel<V>	Cluster model that stores a prototype for each cluster.
SubspaceModel	Model for Subspace Clusters.

Package de.lmu.ifi.dbs.elki.data.model Description

Cluster models classes for various algorithms.