Uses of Class
de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.ORCLUS.Cluster

Packages that use ORCLUS.Cluster

de.lmu.ifi.dbs.elki.algorithm.clustering.correlation

Package to collect correlation clustering algorithms suitable as a task for the KDDTask main routine.

Uses of ORCLUS.Cluster in de.lmu.ifi.dbs.elki.algorithm.clustering.correlation

Fields in de.lmu.ifi.dbs.elki.algorithm.clustering.correlation declared as ORCLUS.Cluster

(package private) ORCLUS.Cluster

ORCLUS.ProjectedEnergy.cluster

Methods in de.lmu.ifi.dbs.elki.algorithm.clustering.correlation that return ORCLUS.Cluster

private ORCLUS.Cluster

ORCLUS.union(Database<V> database, ORCLUS.Cluster c1, ORCLUS.Cluster c2, int dim) Returns the union of the two specified clusters.

Methods in de.lmu.ifi.dbs.elki.algorithm.clustering.correlation that return types with arguments of type ORCLUS.Cluster

private List<ORCLUS.Cluster>

ORCLUS.initialSeeds(Database<V> database, int k) Initializes the list of seeds wit a random sample of size k.

Methods in de.lmu.ifi.dbs.elki.algorithm.clustering.correlation with parameters of type ORCLUS.Cluster

private Matrix	ORCLUS.findBasis(Database<V> database, ORCLUS.Cluster cluster, int dim) Finds the basis of the subspace of dimensionality dim for the specified cluster.
private ORCLUS.ProjectedEnergy	ORCLUS.projectedEnergy(Database<V> database, ORCLUS.Cluster c_i, ORCLUS.Cluster c_j, int i, int j, int dim) Computes the projected energy of the specified clusters.
private ORCLUS.ProjectedEnergy	ORCLUS.projectedEnergy(Database<V> database, ORCLUS.Cluster c_i, ORCLUS.Cluster c_j, int i, int j, int dim) Computes the projected energy of the specified clusters.
private V	ORCLUS.projection(ORCLUS.Cluster c, V o) Returns the projection of real vector o in the subspace of cluster c.
private ORCLUS.Cluster	ORCLUS.union(Database<V> database, ORCLUS.Cluster c1, ORCLUS.Cluster c2, int dim) Returns the union of the two specified clusters.
private ORCLUS.Cluster	ORCLUS.union(Database<V> database, ORCLUS.Cluster c1, ORCLUS.Cluster c2, int dim) Returns the union of the two specified clusters.

Method parameters in de.lmu.ifi.dbs.elki.algorithm.clustering.correlation with type arguments of type ORCLUS.Cluster

private void	ORCLUS.assign(Database<V> database, List<ORCLUS.Cluster> clusters) Creates a partitioning of the database by assigning each object to its closest seed.
private void	ORCLUS.merge(Database<V> database, List<ORCLUS.Cluster> clusters, int k_new, int d_new) Reduces the number of seeds to k_new

Constructors in de.lmu.ifi.dbs.elki.algorithm.clustering.correlation with parameters of type ORCLUS.Cluster

ORCLUS.ProjectedEnergy(int i, int j, ORCLUS.Cluster cluster, DoubleDistance projectedEnergy)