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

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

Package	Description
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

Class and Description
DimensionSelectingSubspaceDistanceFunction Interface for dimension selecting subspace distance functions.
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

Class and Description
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.
DimensionSelectingSubspaceDistanceFunction Interface for dimension selecting subspace distance functions.
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.
LocalSubspaceDistanceFunction 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.
LocalSubspaceDistanceFunction.Instance The actual instance bound to a particular database.
SubspaceEuclideanDistanceFunction Provides a distance function that computes the Euclidean distance between feature vectors only in specified dimensions.
SubspaceLPNormDistanceFunction Provides a distance function that computes the Euclidean distance between feature vectors only in specified dimensions.
SubspaceManhattanDistanceFunction Provides a distance function that computes the Euclidean distance between feature vectors only in specified dimensions.
SubspaceMaximumDistanceFunction Provides a distance function that computes the Euclidean distance between feature vectors only in specified dimensions.