Uses of Package
elki.clustering.subspace

Packages that use elki.clustering.subspace

Package	Description
elki.clustering.dbscan.predicates	Neighbor and core predicated for Generalized DBSCAN.
elki.clustering.subspace	Axis-parallel subspace clustering algorithms.
elki.outlier.subspace	Subspace outlier detection methods.

Classes in elki.clustering.subspace used by elki.clustering.dbscan.predicates

Class	Description
PreDeCon.Settings	Class containing all the PreDeCon settings.

Classes in elki.clustering.subspace used by elki.clustering.subspace

Class	Description
CLIQUE	Implementation of the CLIQUE algorithm, a grid-based algorithm to identify dense clusters in subspaces of maximum dimensionality.
DiSH	Algorithm for detecting subspace hierarchies.
DiSH.DiSHClusterOrder	DiSH cluster order.
DiSH.Strategy	Available strategies for determination of the preference vector.
DOC	DOC is a sampling based subspace clustering algorithm.
DOC.Par	Parameterization class.
FastDOC	The heuristic variant of the DOC algorithm, FastDOC
HiSC	Implementation of the HiSC algorithm, an algorithm for detecting hierarchies of subspace clusters.
P3C	P3C: A Robust Projected Clustering Algorithm.
P3C.ClusterCandidate	This class is used to represent potential clusters.
P3C.Signature	P3C Cluster signature.
PreDeCon	PreDeCon computes clusters of subspace preference weighted connected points.
PreDeCon.Settings	Class containing all the PreDeCon settings.
PROCLUS	The PROCLUS algorithm, an algorithm to find subspace clusters in high dimensional spaces.
PROCLUS.DoubleIntInt	Simple triple.
PROCLUS.PROCLUSCluster	Encapsulates the attributes of a cluster.
SUBCLU	Implementation of the SUBCLU algorithm, an algorithm to detect arbitrarily shaped and positioned clusters in subspaces.
SubspaceClusteringAlgorithm	Interface for subspace clustering algorithms that use a model derived from SubspaceModel, that can then be post-processed for outlier detection.

Classes in elki.clustering.subspace used by elki.outlier.subspace

Class	Description
SubspaceClusteringAlgorithm	Interface for subspace clustering algorithms that use a model derived from SubspaceModel, that can then be post-processed for outlier detection.