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

Packages that use BaseModel

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

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

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

Modifier and Type	Class and Description
class	ClusterModel Generic cluster model.
class	CorrelationModel<V extends FeatureVector<?>> Cluster model using a filtered PCA result and an centroid.
class	DendrogramModel<D extends Distance<D>> Model for dendrograms, provides the distance to the child cluster.
class	DimensionModel Cluster model just providing a cluster dimensionality.
class	EMModel<V extends FeatureVector<?>> Cluster model of an EM cluster, providing a mean and a full covariance Matrix.
class	KMeansModel<V extends NumberVector<?>> 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<V extends FeatureVector<?>> 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	SubspaceModel<V extends FeatureVector<?>> Model for Subspace Clusters.