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.
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.

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

Class and Description
AbstractDimensionsSelectingDistanceFunction Abstract base class for distances computed only in subspaces.
AbstractDimensionsSelectingDistanceFunction.Parameterizer Parameterization class.
DimensionSelectingSubspaceDistanceFunction Interface for dimension selecting subspace distance functions.
OnedimensionalDistanceFunction Distance function that computes the distance between feature vectors as the absolute difference of their values in a specified dimension only.
SubspaceEuclideanDistanceFunction Euclidean distance function between NumberVectors only in specified dimensions.
SubspaceLPNormDistanceFunction LP-Norm distance function between NumberVectors only in specified dimensions.
SubspaceManhattanDistanceFunction Manhattan distance function between NumberVectors only in specified dimensions.
SubspaceMaximumDistanceFunction Maximum distance function between NumberVectors only in specified dimensions.