Uses of Class
elki.clustering.optics.ClusterOrder

Packages that use ClusterOrder

Package	Description
elki.clustering.correlation	Correlation clustering algorithms.
elki.clustering.optics	OPTICS family of clustering algorithms.
elki.clustering.subspace	Axis-parallel subspace clustering algorithms.

Uses of ClusterOrder in elki.clustering.correlation

Methods in elki.clustering.correlation that return ClusterOrder

Modifier and Type	Method	Description
ClusterOrder	HiCO.run(elki.database.relation.Relation<? extends elki.data.NumberVector> relation)	Run the HiCO algorithm.

Uses of ClusterOrder in elki.clustering.optics

Subclasses of ClusterOrder in elki.clustering.optics

Modifier and Type	Class	Description
class	CorrelationClusterOrder	Cluster order entry for correlation-based OPTICS variants.

Fields in elki.clustering.optics declared as ClusterOrder

Modifier and Type	Field	Description
(package private) ClusterOrder	OPTICSHeap.Instance.clusterOrder	Output cluster order.
(package private) ClusterOrder	OPTICSList.Instance.clusterOrder	Output cluster order.
(package private) ClusterOrder	OPTICSXi.SteepScanPosition.co	Cluster order
(package private) ClusterOrder	FastOPTICS.order	Result: output order of points

Methods in elki.clustering.optics that return ClusterOrder

Modifier and Type	Method	Description
default ClusterOrder	OPTICSTypeAlgorithm.autorun(elki.database.Database database)
abstract ClusterOrder	AbstractOPTICS.run(elki.database.relation.Relation<O> relation)	Run OPTICS on the database.
ClusterOrder	FastOPTICS.run(elki.database.relation.Relation<V> relation)	Run the algorithm.
ClusterOrder	OPTICSHeap.Instance.run()	Process the data set.
ClusterOrder	OPTICSHeap.run(elki.database.relation.Relation<O> relation)
ClusterOrder	OPTICSList.Instance.run()	Process the data set.
ClusterOrder	OPTICSList.run(elki.database.relation.Relation<O> relation)

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

Modifier and Type	Method	Description
private Clustering<OPTICSModel>	OPTICSXi.ClusterHierarchyBuilder.build(ClusterOrder clusterOrder, elki.database.ids.DBIDArrayIter iter)	Build the main clustering result.
protected void	FastOPTICS.expandClusterOrder(elki.database.ids.DBID ipt, ClusterOrder order, elki.database.query.distance.DistanceQuery<V> dq, elki.logging.progress.FiniteProgress prog)	OPTICS algorithm for processing a point, but with different density estimates
private Clustering<OPTICSModel>	OPTICSXi.extractClusters(ClusterOrder clusterOrderResult, double ixi, int minpts)	Extract clusters from a cluster order result.
private static int	OPTICSXi.predecessorFilter(ClusterOrder clusterOrderResult, int cstart, int cend, elki.database.ids.DBIDArrayIter tmp)	Filtering step to remove bad tailing points from the clusters.
Clustering<OPTICSModel>	OPTICSXi.run(ClusterOrder clusterOrder)	Process the cluster order of an OPTICS clustering.

Constructors in elki.clustering.optics with parameters of type ClusterOrder

Constructor	Description
SteepScanPosition(ClusterOrder co)	Constructor.

Uses of ClusterOrder in elki.clustering.subspace

Methods in elki.clustering.subspace that return ClusterOrder

Modifier and Type	Method	Description
ClusterOrder	HiSC.run(elki.database.relation.Relation<? extends elki.data.NumberVector> relation)	Run the HiSC algorithm