Package | Description |
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de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan |
Generalized DBSCAN.
|
de.lmu.ifi.dbs.elki.algorithm.clustering.subspace |
Axis-parallel subspace clustering algorithms.
|
de.lmu.ifi.dbs.elki.algorithm.outlier.subspace |
Subspace outlier detection methods.
|
Class and Description |
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PreDeCon.Settings
Class containing all the PreDeCon settings.
|
Class and Description |
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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.
|
DOC
The DOC algorithm, and it's heuristic variant, 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. |
Class and Description |
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SubspaceClusteringAlgorithm
Interface for subspace clustering algorithms that use a model derived from
SubspaceModel , that can then be post-processed for outlier detection. |
Copyright © 2015 ELKI Development Team, Lehr- und Forschungseinheit für Datenbanksysteme, Ludwig-Maximilians-Universität München. License information.