Cluster models classes for various algorithms.
Interface Summary Interface Description ModelBase interface for Model classes. PrototypeModel<V>Cluster model that stores a prototype for each cluster.
Class Summary Class Description BiclusterModelWrapper class to provide the basic properties of a Bicluster. BiclusterWithInversionsModelThis code was factored out of the Bicluster class, since not all biclusters have inverted rows. ClusterModelGeneric cluster model. CoreObjectsModelCluster model using "core" objects. CorrelationAnalysisSolutionA solution of correlation analysis is a matrix of equations describing the dependencies. CorrelationModelCluster model using a filtered PCA result and an centroid. DendrogramModelModel for dendrograms, provides the height of this subtree. DimensionModelCluster model additionally providing a cluster dimensionality. EMModelCluster model of an EM cluster, providing a mean and a full covariance Matrix. GeneratorModelCluster model for synthetically generated data. KMeansModelTrivial subclass of the
MeanModelthat indicates the clustering to be produced by k-means (so the Voronoi cell visualization is sensible).
LinearEquationModelCluster model containing a linear equation system for the cluster. MeanModelCluster model that stores a mean for the cluster. MedoidModelCluster model that stores a mean for the cluster. ModelUtilUtility classes for dealing with cluster models. OPTICSModelModel for an OPTICS cluster PrototypeDendrogramModelHierarchical cluster, with prototype. SimplePrototypeModel<V>Cluster model that stores a prototype for each cluster. SubspaceModelModel for Subspace Clusters.