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

OPTICS family of clustering algorithms.

See: Description

Interface Summary

Interface	Description
OPTICSTypeAlgorithm	Interface for OPTICS type algorithms, that can be analyzed by OPTICS Xi etc.

Class Summary

Class	Description
AbstractOPTICS<O>	The OPTICS algorithm for density-based hierarchical clustering.
AbstractOPTICS.Parameterizer<O>	Parameterization class.
ClusterOrder	Class to store the result of an ordering clustering algorithm such as OPTICS.
CorrelationClusterOrder	Cluster order entry for correlation-based OPTICS variants.
DeLiClu<V extends NumberVector>	DeliClu: Density-Based Hierarchical Clustering A hierarchical algorithm to find density-connected sets in a database, closely related to OPTICS but exploiting the structure of a R-tree for acceleration.
DeLiClu.Parameterizer<V extends NumberVector>	Parameterization class.
DeLiClu.SpatialObjectPair	Encapsulates an entry in the cluster order.
FastOPTICS<V extends NumberVector>	FastOPTICS algorithm (Fast approximation of OPTICS) Note that this is not FOPTICS as in "Fuzzy OPTICS"!
FastOPTICS.Parameterizer<V extends NumberVector>	Parameterization class.
GeneralizedOPTICS<O,R extends ClusterOrder>	A trivial generalization of OPTICS that is not restricted to numerical distances, and serves as a base for several other algorithms (HiCO, HiSC).
GeneralizedOPTICS.Instance<O,R>	Instance for processing a single data set.
OPTICSHeap<O>	The OPTICS algorithm for density-based hierarchical clustering.
OPTICSHeap.Parameterizer<O>	Parameterization class.
OPTICSHeapEntry	Entry in the priority heap.
OPTICSList<O>	The OPTICS algorithm for density-based hierarchical clustering.
OPTICSList.Parameterizer<O>	Parameterization class.
OPTICSXi	Extract clusters from OPTICS Plots using the original 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.