Package elki.evaluation.clustering.internal

Internal evaluation measures for clusterings.

Class Summary

Class	Description
CIndex<O>	Compute the C-index of a data set.
CIndex.Par<O>	Parameterization class.
ClusterRadius	Evaluate a clustering by the (weighted) cluster radius.
ClusterRadius.Par	Parameterization class.
ConcordantPairsGammaTau	Compute the Gamma Criterion of a data set.
ConcordantPairsGammaTau.Par	Parameterization class.
DaviesBouldinIndex	Compute the Davies-Bouldin index of a data set.
DaviesBouldinIndex.Par	Parameterization class.
DBCV<O>	Compute the Density-Based Clustering Validation Index.
DBCV.Par<O>	Parameterization class.
PBMIndex	Compute the PBM index of a clustering
PBMIndex.Par	Parameterization class.
Silhouette<O>	Compute the silhouette of a data set.
Silhouette.Par<O>	Parameterization class.
SimplifiedSilhouette	Compute the simplified silhouette of a data set.
SimplifiedSilhouette.Par	Parameterization class.
SquaredErrors	Evaluate a clustering by reporting the squared errors (SSE, SSQ), as used by k-means.
SquaredErrors.Par	Parameterization class.
VarianceRatioCriterion	Compute the Variance Ratio Criterion of a data set, also known as Calinski-Harabasz index.
VarianceRatioCriterion.Par	Parameterization class.

Enum Summary

Enum	Description
NoiseHandling	Options for handling noise in internal measures.