Package de.lmu.ifi.dbs.elki.algorithm.clustering.trivial

Trivial clustering algorithms: all in one, no clusters, label clusterings These methods are mostly useful for providing a reference result in evaluation.

See: Description

Class Summary

Class	Description
ByLabelClustering	Pseudo clustering using labels.
ByLabelClustering.Parameterizer	Parameterization class.
ByLabelHierarchicalClustering	Pseudo clustering using labels.
ByLabelOrAllInOneClustering	Trivial class that will try to cluster by label, and fall back to an "all-in-one" clustering.
ByModelClustering	Pseudo clustering using annotated models.
ByModelClustering.Parameterizer	Parameterization class.
TrivialAllInOne	Trivial pseudo-clustering that just considers all points to be one big cluster.
TrivialAllNoise	Trivial pseudo-clustering that just considers all points to be noise.

Package de.lmu.ifi.dbs.elki.algorithm.clustering.trivial Description

Trivial clustering algorithms: all in one, no clusters, label clusterings

These methods are mostly useful for providing a reference result in evaluation.