Package de.lmu.ifi.dbs.elki.algorithm.clustering.optics

OPTICS family of clustering algorithms.

See: Description

Interface Summary

Interface	Description
ClusterOrderEntry<SELF>	Generic Cluster Order Entry Interface.
OPTICSTypeAlgorithm<E extends ClusterOrderEntry<E>>	Interface for OPTICS type algorithms, that can be analysed by OPTICS Xi etc.

Class Summary

Class	Description
ClusterOrderResult<E extends ClusterOrderEntry<?>>	Class to store the result of an ordering clustering algorithm such as OPTICS.
CorrelationClusterOrderEntry<SELF extends CorrelationClusterOrderEntry<SELF>>	Cluster order entry for correlation-based OPTICS variants.
DeLiClu<NV extends NumberVector>	DeliClu: Density-Based Hierarchical Clustering, a hierarchical algorithm to find density-connected sets in a database.
DeLiClu.Parameterizer<NV extends NumberVector>	Parameterization class.
DoubleDistanceClusterOrderEntry	Entry in a ClusterOrderResult.
GeneralizedOPTICS<O,E extends ClusterOrderEntry<E>>	A trivial generalization of OPTICS that is not restricted to numerical distances, and serves as a base for several other algorithms (HiCO, HiSC).
OPTICS<O>	The OPTICS algorithm for density-based hierarchical clustering.
OPTICS.Parameterizer<O>	Parameterization class.
OPTICSXi	Class to handle OPTICS Xi extraction.
OPTICSXi.Parameterizer	Parameterization class.
OPTICSXi.SteepArea	Data structure to represent a steep-down-area for the xi method.
OPTICSXi.SteepAreaResult	Result containing the chi-steep areas.
OPTICSXi.SteepDownArea	Data structure to represent a steep-down-area for the xi method.
OPTICSXi.SteepScanPosition	Position when scanning for steep areas
OPTICSXi.SteepUpArea	Data structure to represent a steep-down-area for the xi method.

Package de.lmu.ifi.dbs.elki.algorithm.clustering.optics Description

OPTICS family of clustering algorithms. Note that some OPTICS based algorithms (HiCO, DiSH) are in the subspace and correlation packages, which better describes their use case.