Uses of Class
elki.logging.progress.FiniteProgress

Packages that use FiniteProgress

Package	Description
elki.clustering	Clustering algorithms.
elki.clustering.correlation	Correlation clustering algorithms.
elki.clustering.dbscan	DBSCAN and its generalizations.
elki.clustering.dbscan.parallel	Parallel versions of Generalized DBSCAN.
elki.clustering.hierarchical	Hierarchical agglomerative clustering (HAC).
elki.clustering.hierarchical.extraction	Extraction of partitional clusterings from hierarchical results.
elki.clustering.optics	OPTICS family of clustering algorithms.
elki.index.preprocessed.knn	Indexes providing KNN and rKNN data.
elki.logging	Logging facility for controlling logging behavior of the complete framework.
elki.logging.progress	Progress status objects (for UI).

Uses of FiniteProgress in elki.clustering

Methods in elki.clustering with parameters of type FiniteProgress

Modifier and Type	Method	Description
protected void	SNNClustering.expandCluster(SimilarityQuery<O> snnInstance, DBIDRef startObjectID, FiniteProgress objprog, IndefiniteProgress clusprog)	DBSCAN-function expandCluster adapted to SNN criterion.

Uses of FiniteProgress in elki.clustering.correlation

Methods in elki.clustering.correlation with parameters of type FiniteProgress

Modifier and Type	Method	Description
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 elki.clustering.dbscan

Fields in elki.clustering.dbscan declared as FiniteProgress

Modifier and Type	Field	Description
protected FiniteProgress	DBSCAN.Instance.objprog	Progress for objects (may be null).

Methods in elki.clustering.dbscan with parameters of type FiniteProgress

Modifier and Type	Method	Description
protected int	GeneralizedDBSCAN.Instance.expandCluster(DBIDRef seed, int clusterid, WritableIntegerDataStore clusterids, T neighbors, ArrayModifiableDBIDs activeSet, FiniteProgress progress)	Set-based expand cluster implementation.
protected int	GriDBSCAN.Instance.expandCluster(DBIDRef seed, int clusterid, WritableIntegerDataStore clusterids, ModifiableDoubleDBIDList neighbors, ArrayModifiableDBIDs activeSet, RangeSearcher<DBIDRef> rq, FiniteProgress pprog)	Set-based expand cluster implementation.
protected int	LSDBC.expandCluster(int clusterid, WritableIntegerDataStore clusterids, KNNSearcher<DBIDRef> knnq, DBIDs neighbors, double maxkdist, FiniteProgress progress)	Set-based expand cluster implementation.

Uses of FiniteProgress in elki.clustering.dbscan.parallel

Fields in elki.clustering.dbscan.parallel declared as FiniteProgress

Modifier and Type	Field	Description
private FiniteProgress	ParallelGeneralizedDBSCAN.Instance.progress	Progress logger.

Uses of FiniteProgress in elki.clustering.hierarchical

Fields in elki.clustering.hierarchical declared as FiniteProgress

Modifier and Type	Field	Description
private FiniteProgress	AbstractHDBSCAN.HeapMSTCollector.prog	Progress, for progress logging.

Constructors in elki.clustering.hierarchical with parameters of type FiniteProgress

Constructor	Description
HeapMSTCollector(DoubleLongHeap heap, FiniteProgress prog, Logging log)	Constructor.

Uses of FiniteProgress in elki.clustering.hierarchical.extraction

Methods in elki.clustering.hierarchical.extraction with parameters of type FiniteProgress

Modifier and Type	Method	Description
private Clustering<DendrogramModel>	AbstractCutDendrogram.Instance.buildFlat(int split, FiniteProgress progress)	Build a flat clustering.
private Clustering<DendrogramModel>	AbstractCutDendrogram.Instance.buildHierarchical(int split, FiniteProgress progress)	Build a hierarchical clustering.
private void	AbstractCutDendrogram.Instance.buildLeafClusters(int split, FiniteProgress progress)	Prepare the leaf clusters by executing the first (size - 1 - split) merges.

Uses of FiniteProgress in elki.clustering.optics

Fields in elki.clustering.optics declared as FiniteProgress

Modifier and Type	Field	Description
private FiniteProgress	OPTICSXi.SteepScanPosition.prog	Progress for logging.
(package private) FiniteProgress	GeneralizedOPTICS.Instance.progress	Progress for logging.
(package private) FiniteProgress	OPTICSHeap.Instance.progress	Progress for logging.
(package private) FiniteProgress	OPTICSList.Instance.progress	Progress for logging.

Methods in elki.clustering.optics with parameters of type FiniteProgress

Modifier and Type	Method	Description
protected void	FastOPTICS.expandClusterOrder(DBID ipt, ClusterOrder order, DistanceQuery<V> dq, FiniteProgress prog)	OPTICS algorithm for processing a point, but with different density estimates

Uses of FiniteProgress in elki.index.preprocessed.knn

Methods in elki.index.preprocessed.knn with parameters of type FiniteProgress

Modifier and Type	Method	Description
private void	MaterializeKNNAndRKNNPreprocessor.materializeKNNAndRKNNs(ArrayDBIDs ids, FiniteProgress progress)	Materializes the kNNs and RkNNs of the specified object IDs.

Uses of FiniteProgress in elki.logging

Methods in elki.logging with parameters of type FiniteProgress

Modifier and Type	Method	Description
void	Logging.ensureCompleted(FiniteProgress prog)	Increment a progress (unless null).

Uses of FiniteProgress in elki.logging.progress

Subclasses of FiniteProgress in elki.logging.progress

Modifier and Type	Class	Description
class	StepProgress	This progress class is used for multi-step processing.