Uses of Class
de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.AbstractDimensionsSelectingDoubleDistanceFunction

Packages that use AbstractDimensionsSelectingDoubleDistanceFunction

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.

Uses of AbstractDimensionsSelectingDoubleDistanceFunction in de.lmu.ifi.dbs.elki.algorithm.clustering.subspace

Fields in de.lmu.ifi.dbs.elki.algorithm.clustering.subspace declared as AbstractDimensionsSelectingDoubleDistanceFunction

private AbstractDimensionsSelectingDoubleDistanceFunction<V>

SUBCLU.distanceFunction Holds the instance of the distance function specified by SUBCLU.DISTANCE_FUNCTION_PARAM.

Fields in de.lmu.ifi.dbs.elki.algorithm.clustering.subspace with type parameters of type AbstractDimensionsSelectingDoubleDistanceFunction

private ObjectParameter<AbstractDimensionsSelectingDoubleDistanceFunction<V>>

SUBCLU.DISTANCE_FUNCTION_PARAM The distance function to determine the distance between database objects.

Uses of AbstractDimensionsSelectingDoubleDistanceFunction in de.lmu.ifi.dbs.elki.distance.distancefunction.subspace

Subclasses of AbstractDimensionsSelectingDoubleDistanceFunction in de.lmu.ifi.dbs.elki.distance.distancefunction.subspace

class

DimensionsSelectingEuclideanDistanceFunction<V extends NumberVector<V,?>> Provides a distance function that computes the Euclidean distance between feature vectors only in specified dimensions.