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

Packages that use AbstractModel

Package	Description
de.lmu.ifi.dbs.elki.data.model	Cluster models classes for various algorithms.

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

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

Modifier and Type	Class and Description
class	ClusterModel Generic cluster model.
class	CoreObjectsModel Cluster model using "core" objects.
class	CorrelationModel<V extends FeatureVector<?>> Cluster model using a filtered PCA result and an centroid.
class	DendrogramModel Model for dendrograms, provides the distance to the child cluster.
class	DimensionModel Cluster model just providing a cluster dimensionality.
class	EMModel Cluster model of an EM cluster, providing a mean and a full covariance Matrix.
class	KMeansModel Trivial subclass of the MeanModel that indicates the clustering to be produced by k-means (so the Voronoi cell visualization is sensible).
class	LinearEquationModel Cluster model containing a linear equation system for the cluster.
class	MeanModel Cluster model that stores a mean for the cluster.
class	MedoidModel Cluster model that stores a mean for the cluster.
class	OPTICSModel Model for an OPTICS cluster
class	PrototypeModel<V> Cluster model that stores a prototype for each cluster.
class	SubspaceModel Model for Subspace Clusters.