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

Packages that use FiniteProgress

Package	Description
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.algorithm.clustering.gdbscan	Generalized DBSCAN Generalized DBSCAN is an abstraction of the original DBSCAN idea, that allows the use of arbitrary "neighborhood" and "core point" predicates.
de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.parallel	Parallel versions of Generalized DBSCAN.
de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical	Hierarchical agglomerative clustering (HAC).
de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.extraction	Extraction of partitional clusterings from hierarchical results.
de.lmu.ifi.dbs.elki.algorithm.clustering.optics	OPTICS family of clustering algorithms.
de.lmu.ifi.dbs.elki.index.preprocessed.knn	Indexes providing KNN and rKNN data.
de.lmu.ifi.dbs.elki.logging	Logging facility for controlling logging behavior of the complete framework.
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

Modifier and Type	Method and Description
protected int	GriDBSCAN.Instance.expandCluster(DBIDRef seed, int clusterid, WritableIntegerDataStore clusterids, ModifiableDoubleDBIDList neighbors, ArrayModifiableDBIDs activeSet, RangeQuery<V> rq, FiniteProgress pprog) Set-based expand cluster implementation.
protected void	DBSCAN.expandCluster(Relation<O> relation, RangeQuery<O> rangeQuery, DBIDRef startObjectID, ArrayModifiableDBIDs seeds, FiniteProgress objprog, IndefiniteProgress clusprog) DBSCAN-function expandCluster.
protected void	SNNClustering.expandCluster(SimilarityQuery<O> snnInstance, DBIDRef startObjectID, FiniteProgress objprog, IndefiniteProgress clusprog) DBSCAN-function expandCluster adapted to SNN criterion.

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

Modifier and Type	Method and 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 de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan

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

Modifier and Type	Method and 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	LSDBC.expandCluster(int clusterid, WritableIntegerDataStore clusterids, KNNQuery<O> knnq, DBIDs neighbors, double maxkdist, FiniteProgress progress) Set-based expand cluster implementation.

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

Fields in de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan.parallel declared as FiniteProgress

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

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

Fields in de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical declared as FiniteProgress

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

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

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

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

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

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

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

Fields in de.lmu.ifi.dbs.elki.algorithm.clustering.optics declared as FiniteProgress

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

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

Modifier and Type	Method and 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 de.lmu.ifi.dbs.elki.index.preprocessed.knn

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

Modifier and Type	Method and Description
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

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

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

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

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

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