Uses of Interface
elki.distance.subspace.DimensionSelectingSubspaceDistance

Packages that use DimensionSelectingSubspaceDistance

Package	Description
elki.clustering.subspace	Axis-parallel subspace clustering algorithms.
elki.distance.subspace	Distance functions based on subspaces.

Uses of DimensionSelectingSubspaceDistance in elki.clustering.subspace

Fields in elki.clustering.subspace declared as DimensionSelectingSubspaceDistance

Modifier and Type	Field	Description
protected DimensionSelectingSubspaceDistance<V>	SUBCLU.distance	The distance function to determine the distance between objects.
protected DimensionSelectingSubspaceDistance<V>	SUBCLU.Par.distance	The distance function to determine the distance between objects.

Constructors in elki.clustering.subspace with parameters of type DimensionSelectingSubspaceDistance

Constructor	Description
SUBCLU(DimensionSelectingSubspaceDistance<V> distance, double epsilon, int minpts, int mindim)	Constructor.

Uses of DimensionSelectingSubspaceDistance in elki.distance.subspace

Classes in elki.distance.subspace that implement DimensionSelectingSubspaceDistance

Modifier and Type	Class	Description
class	AbstractDimensionsSelectingDistance<V extends FeatureVector<?>>	Abstract base class for distances computed only in subspaces.
class	OnedimensionalDistance	Distance function that computes the distance between feature vectors as the absolute difference of their values in a specified dimension only.
class	SubspaceEuclideanDistance	Euclidean distance function between NumberVectors only in specified dimensions.
class	SubspaceLPNormDistance	Lp-Norm distance function between NumberVectors only in specified dimensions.
class	SubspaceManhattanDistance	Manhattan distance function between NumberVectors only in specified dimensions.
class	SubspaceMaximumDistance	Maximum distance function between NumberVectors only in specified dimensions.