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.
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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.