Package elki.data.model

Cluster models classes for various algorithms.

Interface Summary

Interface	Description
Model	Base interface for Model classes.
PrototypeModel<V>	Cluster model that stores a prototype for each cluster.

Class Summary

Class	Description
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	A solution of correlation analysis is a matrix of equations describing the dependencies.
CorrelationModel	Cluster model using a filtered PCA result and an centroid.
DendrogramModel	Model for dendrograms, provides the height of this subtree.
DimensionModel	Cluster model additionally providing a cluster dimensionality.
EMModel	Cluster model of an EM cluster, providing a mean and a full covariance Matrix.
GeneratorModel	Cluster model for synthetically generated data.
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
PrototypeDendrogramModel	Hierarchical cluster, with prototype.
SimplePrototypeModel<V>	Cluster model that stores a prototype for each cluster.
SubspaceModel	Model for Subspace Clusters.