Package elki.clustering.subspace
Axis-parallel subspace clustering algorithms.
The clustering algorithms in this package are instances of both, projected clustering algorithms or subspace clustering algorithms according to the classical but somewhat obsolete classification schema of clustering algorithms for axis-parallel subspaces.
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Interface Summary Interface Description SubspaceClusteringAlgorithm<M extends SubspaceModel> Interface for subspace clustering algorithms that use a model derived fromSubspaceModel
, that can then be post-processed for outlier detection. -
Class Summary Class Description CLIQUE Implementation of the CLIQUE algorithm, a grid-based algorithm to identify dense clusters in subspaces of maximum dimensionality.CLIQUE.Par Parameterization class.DiSH Algorithm for detecting subspace hierarchies.DiSH.DiSHClusterOrder DiSH cluster order.DiSH.Par Parameterization class.DOC DOC is a sampling based subspace clustering algorithm.DOC.Par Parameterization class.FastDOC The heuristic variant of the DOC algorithm, FastDOCFastDOC.Par Parameterization class.HiSC Implementation of the HiSC algorithm, an algorithm for detecting hierarchies of subspace clusters.HiSC.Par Parameterization class.P3C P3C: A Robust Projected Clustering Algorithm.P3C.ClusterCandidate This class is used to represent potential clusters.P3C.Par Parameterization class.P3C.Signature P3C Cluster signature.PreDeCon PreDeCon computes clusters of subspace preference weighted connected points.PreDeCon.Par Parameterization class.PreDeCon.Settings Class containing all the PreDeCon settings.PreDeCon.Settings.Par Parameterization class.PROCLUS The PROCLUS algorithm, an algorithm to find subspace clusters in high dimensional spaces.PROCLUS.DoubleIntInt Simple triple.PROCLUS.Par Parameterization class.PROCLUS.PROCLUSCluster Encapsulates the attributes of a cluster.SUBCLU<V extends NumberVector> Implementation of the SUBCLU algorithm, an algorithm to detect arbitrarily shaped and positioned clusters in subspaces.SUBCLU.Par<V extends NumberVector> Parameterization class. -
Enum Summary Enum Description DiSH.Strategy Available strategies for determination of the preference vector.