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

Packages that use de.lmu.ifi.dbs.elki.distance.distancefunction.subspace

de.lmu.ifi.dbs.elki.algorithm.clustering.subspace	Axis-parallel subspace clustering algorithms The clustering algorithms in this package are instances of both, projected clustering algorithms or subspace clustering algorithms according to the classical but somewhat obsolete classification schema of clustering algorithms for axis-parallel subspaces.
de.lmu.ifi.dbs.elki.distance.distancefunction.subspace	Distance functions based on subspaces.

Classes in de.lmu.ifi.dbs.elki.distance.distancefunction.subspace used by de.lmu.ifi.dbs.elki.algorithm.clustering.subspace

AbstractDimensionsSelectingDoubleDistanceFunction
Provides a distance function that computes the distance (which is a double distance) between feature vectors only in specified dimensions.

DiSHDistanceFunction
Distance function used in the DiSH algorithm.

DiSHDistanceFunction.Instance
The actual instance bound to a particular database.

HiSCDistanceFunction
Distance function used in the HiSC algorithm.

Classes in de.lmu.ifi.dbs.elki.distance.distancefunction.subspace used by de.lmu.ifi.dbs.elki.distance.distancefunction.subspace

AbstractDimensionsSelectingDoubleDistanceFunction
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
Abstract super class for all preference vector based correlation distance functions.

AbstractPreferenceVectorBasedCorrelationDistanceFunction.Instance
Instance to compute the distances on an actual database.

AbstractPreferenceVectorBasedCorrelationDistanceFunction.Parameterizer
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.

DimensionsSelectingEuclideanDistanceFunction
Provides a distance function that computes the Euclidean distance between feature vectors only in specified dimensions.

DiSHDistanceFunction
Distance function used in the DiSH algorithm.

DiSHDistanceFunction.Instance
The actual instance bound to a particular database.

HiSCDistanceFunction
Distance function used in the HiSC algorithm.

HiSCDistanceFunction.Instance
The actual instance bound to a particular database.

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
The actual instance bound to a particular database.