Uses of Class
de.lmu.ifi.dbs.elki.algorithm.clustering.OPTICS

Packages that use OPTICS

de.lmu.ifi.dbs.elki.algorithm.clustering	Clustering algorithms Clustering algorithms are supposed to implement the Algorithm-Interface.
de.lmu.ifi.dbs.elki.algorithm.clustering.correlation	Correlation clustering algorithms
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.

Uses of OPTICS in de.lmu.ifi.dbs.elki.algorithm.clustering

Methods in de.lmu.ifi.dbs.elki.algorithm.clustering that return OPTICS

protected OPTICS<O,D>

OPTICS.Parameterizer.makeInstance()

Uses of OPTICS in de.lmu.ifi.dbs.elki.algorithm.clustering.correlation

Subclasses of OPTICS in de.lmu.ifi.dbs.elki.algorithm.clustering.correlation

class

HiCO<V extends NumberVector<V,?>> Implementation of the HiCO algorithm, an algorithm for detecting hierarchies of correlation clusters.

Uses of OPTICS in de.lmu.ifi.dbs.elki.algorithm.clustering.subspace

Subclasses of OPTICS in de.lmu.ifi.dbs.elki.algorithm.clustering.subspace

class

HiSC<V extends NumberVector<V,?>> Implementation of the HiSC algorithm, an algorithm for detecting hierarchies of subspace clusters.