Package elki.clustering.trivial

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

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

Class Summary

Class	Description
ByLabelClustering	Pseudo clustering using labels.
ByLabelClustering.Par	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.Par	Parameterization class.
ReferenceClustering<M extends Model>	Reference clustering.
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.