Package | Description |
---|---|
de.lmu.ifi.dbs.elki.algorithm.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.
|
de.lmu.ifi.dbs.elki.algorithm.outlier.subspace |
Subspace outlier detection methods.
|
Modifier and Type | Class and Description |
---|---|
class |
CLIQUE<V extends NumberVector>
Implementation of the CLIQUE algorithm, a grid-based algorithm to identify
dense clusters in subspaces of maximum dimensionality.
|
class |
DiSH<V extends NumberVector>
Algorithm for detecting subspace hierarchies.
|
class |
DOC<V extends NumberVector>
The DOC algorithm, and it's heuristic variant, FastDOC.
|
class |
P3C<V extends NumberVector>
P3C: A Robust Projected Clustering Algorithm.
|
class |
PROCLUS<V extends NumberVector>
The PROCLUS algorithm, an algorithm to find subspace clusters in high
dimensional spaces.
|
class |
SUBCLU<V extends NumberVector>
Implementation of the SUBCLU algorithm, an algorithm to detect arbitrarily
shaped and positioned clusters in subspaces.
|
Modifier and Type | Field and Description |
---|---|
protected SubspaceClusteringAlgorithm<? extends SubspaceModel> |
OutRankS1.Parameterizer.algorithm
Clustering algorithm to run.
|
protected SubspaceClusteringAlgorithm<? extends SubspaceModel> |
OutRankS1.clusteralg
Clustering algorithm to run.
|
Constructor and Description |
---|
OutRankS1(SubspaceClusteringAlgorithm<? extends SubspaceModel> clusteralg,
double alpha)
Constructor.
|
Copyright © 2015 ELKI Development Team, Lehr- und Forschungseinheit für Datenbanksysteme, Ludwig-Maximilians-Universität München. License information.