Uses of Class
de.lmu.ifi.dbs.elki.utilities.progress.FiniteProgress

Packages that use FiniteProgress

de.lmu.ifi.dbs.elki.algorithm.clustering	Clustering algorithms Clustering algorithms are supposed to implement the Algorithm-Interface.
de.lmu.ifi.dbs.elki.algorithm.clustering.correlation	Correlation clustering algorithms

Uses of FiniteProgress in de.lmu.ifi.dbs.elki.algorithm.clustering

Methods in de.lmu.ifi.dbs.elki.algorithm.clustering with parameters of type FiniteProgress

protected void	SNNClustering.expandCluster(Database<O> database, Integer startObjectID, FiniteProgress objprog, IndefiniteProgress clusprog) DBSCAN-function expandCluster adapted to SNN criterion.
protected void	DBSCAN.expandCluster(Database<O> database, Integer startObjectID, FiniteProgress objprog, IndefiniteProgress clusprog) DBSCAN-function expandCluster.
protected void	ProjectedDBSCAN.expandCluster(Database<V> database, Integer startObjectID, FiniteProgress objprog, IndefiniteProgress clusprog) ExpandCluster function of DBSCAN.
protected void	OPTICS.expandClusterOrder(Database<O> database, Integer objectID, FiniteProgress progress) OPTICS-function expandClusterOrder.

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

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

private Clustering<Model>

CASH.doRun(Database<ParameterizationFunction> database, FiniteProgress progress) Runs the CASH algorithm on the specified database, this method is recursively called until only noise is left.