Package de.lmu.ifi.dbs.elki.distance.distancefunction.subspace

Distance functions based on subspaces.

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Description

Class Summary

AbstractDimensionsSelectingDoubleDistanceFunction<V extends FeatureVector<?,?>>	Provides a distance function that computes the distance (which is a double distance) between feature vectors only in specified dimensions.
AbstractDimensionsSelectingDoubleDistanceFunction.Parameterizer	Parameterization class.
AbstractPreferenceVectorBasedCorrelationDistanceFunction<V extends NumberVector<?,?>,P extends PreferenceVectorIndex<V>>	Abstract super class for all preference vector based correlation distance functions.
AbstractPreferenceVectorBasedCorrelationDistanceFunction.Instance<V extends NumberVector<?,?>,P extends PreferenceVectorIndex<V>>	Instance to compute the distances on an actual database.
AbstractPreferenceVectorBasedCorrelationDistanceFunction.Parameterizer<F extends IndexFactory<?,?>>	Parameterization class.
DimensionSelectingDistanceFunction	Provides a distance function that computes the distance between feature vectors as the absolute difference of their values in a specified dimension.
DimensionSelectingDistanceFunction.Parameterizer	Parameterization class.
DimensionsSelectingEuclideanDistanceFunction	Provides a distance function that computes the Euclidean distance between feature vectors only in specified dimensions.
DimensionsSelectingEuclideanDistanceFunction.Parameterizer	Parameterization class.
DiSHDistanceFunction	Distance function used in the DiSH algorithm.
DiSHDistanceFunction.Instance<V extends NumberVector<?,?>>	The actual instance bound to a particular database.
DiSHDistanceFunction.Parameterizer	Parameterization class.
HiSCDistanceFunction<V extends NumberVector<?,?>>	Distance function used in the HiSC algorithm.
HiSCDistanceFunction.Instance<V extends NumberVector<?,?>>	The actual instance bound to a particular database.
HiSCDistanceFunction.Parameterizer<V extends NumberVector<?,?>>	Parameterization class.
SubspaceDistanceFunction	Provides a distance function to determine a kind of correlation distance between two points, which is a pair consisting of the distance between the two subspaces spanned by the strong eigenvectors of the two points and the affine distance between the two subspaces.
SubspaceDistanceFunction.Instance<V extends NumberVector<?,?>>	The actual instance bound to a particular database.
SubspaceDistanceFunction.Parameterizer	Parameterization class.

Package de.lmu.ifi.dbs.elki.distance.distancefunction.subspace Description

Distance functions based on subspaces.