Uses of Interface
de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.DimensionSelectingSubspaceDistanceFunction

Packages that use DimensionSelectingSubspaceDistanceFunction

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.

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

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

Modifier and Type	Field and Description
protected DimensionSelectingSubspaceDistanceFunction<V,DoubleDistance>	SUBCLU.Parameterizer.distance
private DimensionSelectingSubspaceDistanceFunction<V,DoubleDistance>	SUBCLU.distanceFunction Holds the instance of the distance function specified by SUBCLU.DISTANCE_FUNCTION_ID.

Constructors in de.lmu.ifi.dbs.elki.algorithm.clustering.subspace with parameters of type DimensionSelectingSubspaceDistanceFunction

Constructor and Description
SUBCLU(DimensionSelectingSubspaceDistanceFunction<V,DoubleDistance> distanceFunction, DoubleDistance epsilon, int minpts) Constructor.

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

Classes in de.lmu.ifi.dbs.elki.distance.distancefunction.subspace that implement DimensionSelectingSubspaceDistanceFunction

Modifier and Type	Class and Description
class	AbstractDimensionsSelectingDoubleDistanceFunction<V extends FeatureVector<?>> Provides a distance function that computes the distance (which is a double distance) between feature vectors only in specified dimensions.
class	DimensionSelectingDistanceFunction Provides a distance function that computes the distance between feature vectors as the absolute difference of their values in a specified dimension.
class	SubspaceEuclideanDistanceFunction Provides a distance function that computes the Euclidean distance between feature vectors only in specified dimensions.
class	SubspaceLPNormDistanceFunction Provides a distance function that computes the Euclidean distance between feature vectors only in specified dimensions.
class	SubspaceManhattanDistanceFunction Provides a distance function that computes the Euclidean distance between feature vectors only in specified dimensions.
class	SubspaceMaximumDistanceFunction Provides a distance function that computes the Euclidean distance between feature vectors only in specified dimensions.