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

Cluster models classes for various algorithms.

See:
Description

Interface Summary

Model

Base interface for Model classes.

Class Summary

BaseModel	Abstract base class for Cluster Models.
Bicluster<V extends FeatureVector<?,?>>	Wrapper class to provide the basic properties of a bicluster.
BiclusterWithInverted<V extends FeatureVector<V,?>>	This code was factored out of the Bicluster class, since not all biclusters have inverted rows.
ClusterModel	Generic cluster model.
CorrelationAnalysisSolution<V extends NumberVector<V,?>>	A solution of correlation analysis is a matrix of equations describing the dependencies.
CorrelationModel<V extends FeatureVector<V,?>>	Cluster model using a filtered PCA result and an centroid.
DendrogramModel<D extends Distance<D>>	Model for dendrograms, provides the distance to the child cluster.
DimensionModel	Cluster model just providing a cluster dimensionality.
EMModel<V extends FeatureVector<V,?>>	Cluster model of an EM cluster, providing a mean and a full covariance Matrix.
LinearEquationModel	Cluster model containing a linear equation system for the cluster.
MeanModel<V extends FeatureVector<V,?>>	Cluster model that stores a mean for the cluster.
OPTICSModel	Model for an OPTICS cluster
SubspaceModel<V extends FeatureVector<V,?>>	Model for Subspace Clusters.

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

Cluster models classes for various algorithms.