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