Package de.lmu.ifi.dbs.elki.math.dimensionsimilarity

Functions to compute the similarity of dimensions (or the interestingness of the combination).

See: Description

Interface Summary

Interface	Description
DimensionSimilarity<V>	Interface for computing pairwise dimension similarities, used for arranging dimensions in parallel coordinate plots.

Class Summary

Class	Description
CovarianceDimensionSimilarity	Class to compute the dimension similarity based on covariances.
CovarianceDimensionSimilarity.Parameterizer	Parameterization class.
DimensionSimilarityMatrix	Class representing a similarity matrix between dimensions.
DimensionSimilarityMatrix.FullDimensionSimilarityMatrix	Complete matrix of pairwise dimension similarities.
DimensionSimilarityMatrix.PartialDimensionSimilarityMatrix	Partial matrix of pairwise dimension similarities.
DimensionSimilarityMatrix.PrimAdapter	Adapter class for running prim's algorithm.
HiCSDimensionSimilarity	Use the statistical tests as used by HiCS to arrange dimensions.
HiCSDimensionSimilarity.Parameterizer	Parameterization class.
HSMDimensionSimilarity	FIXME: This needs serious TESTING before release.
HSMDimensionSimilarity.Parameterizer	Parameterization class.
MCEDimensionSimilarity	Compute dimension similarity by using a nested means discretization.
MCEDimensionSimilarity.Parameterizer	Parameterization class.
SlopeDimensionSimilarity	Arrange dimensions based on the entropy of the slope spectrum.
SlopeDimensionSimilarity.Parameterizer	Parameterization class.
SlopeInversionDimensionSimilarity	Arrange dimensions based on the entropy of the slope spectrum.
SlopeInversionDimensionSimilarity.Parameterizer	Parameterization class.
SURFINGDimensionSimilarity	Compute the similarity of dimensions using the SURFING score.
SURFINGDimensionSimilarity.Parameterizer	Parameterization class.

Package de.lmu.ifi.dbs.elki.math.dimensionsimilarity Description

Functions to compute the similarity of dimensions (or the interestingness of the combination).