Uses of Class
de.lmu.ifi.dbs.elki.logging.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
de.lmu.ifi.dbs.elki.index.preprocessed.knn	Indexes providing KNN and rKNN data.
de.lmu.ifi.dbs.elki.logging.progress	Progress status objects (for UI)

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	DBSCAN.expandCluster(Database database, RangeQuery<O,D> rangeQuery, DBID startObjectID, FiniteProgress objprog, IndefiniteProgress clusprog) DBSCAN-function expandCluster.
protected void	AbstractProjectedDBSCAN.expandCluster(LocallyWeightedDistanceFunction.Instance<V> distFunc, RangeQuery<V,DoubleDistance> rangeQuery, DBID startObjectID, FiniteProgress objprog, IndefiniteProgress clusprog) ExpandCluster function of DBSCAN.
protected void	SNNClustering.expandCluster(SimilarityQuery<O,IntegerDistance> snnInstance, DBID startObjectID, FiniteProgress objprog, IndefiniteProgress clusprog) DBSCAN-function expandCluster adapted to SNN criterion.
protected void	OPTICS.expandClusterOrder(ClusterOrderResult<D> clusterOrder, Database database, RangeQuery<O,D> rangeQuery, DBID objectID, D epsilon, FiniteProgress progress) OPTICS-function expandClusterOrder.
protected void	OPTICS.expandClusterOrderDouble(ClusterOrderResult<DoubleDistance> clusterOrder, Database database, RangeQuery<O,DoubleDistance> rangeQuery, DBID objectID, DoubleDistance epsilon, FiniteProgress progress) OPTICS-function expandClusterOrder.
private Cluster<DendrogramModel<D>>	SLINK.root(Map<DBID,ModifiableDBIDs> cluster_ids, Map<DBID,D> cluster_distances, DataStore<DBID> pi, DataStore<D> lambda, ModifiableHierarchy<Cluster<DendrogramModel<D>>> hier, FiniteProgress progress)

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

Uses of FiniteProgress in de.lmu.ifi.dbs.elki.index.preprocessed.knn

Methods in de.lmu.ifi.dbs.elki.index.preprocessed.knn with parameters of type FiniteProgress

private void

MaterializeKNNAndRKNNPreprocessor.materializeKNNAndRKNNs(ArrayDBIDs ids, FiniteProgress progress) Materializes the kNNs and RkNNs of the specified object IDs.

Uses of FiniteProgress in de.lmu.ifi.dbs.elki.logging.progress

Subclasses of FiniteProgress in de.lmu.ifi.dbs.elki.logging.progress

class

StepProgress This progress class is used for multi-step processing.