Package de.lmu.ifi.dbs.elki.distance.distancefunction

Distance functions for use within ELKI.

See:
Description

Interface Summary

DistanceFunction<O extends DatabaseObject,D extends Distance<D>>

Interface DistanceFunction describes the requirements of any distance function.

Class Summary

AbstractDistanceFunction<O extends DatabaseObject,D extends Distance<D>>	AbstractDistanceFunction provides some methods valid for any extending class.
AbstractDoubleDistanceFunction<O extends DatabaseObject>	Provides an abstract superclass for DistanceFunctions that are based on DoubleDistance.
AbstractFloatDistanceFunction<O extends DatabaseObject>	Provides a DistanceFunction that is based on FloatDistance.
AbstractLocallyWeightedDistanceFunction<O extends RealVector<O,?>,P extends Preprocessor<O>>	Abstract super class for locally weighted distance functions using a preprocessor to compute the local weight matrix.
AbstractPreprocessorBasedDistanceFunction<O extends DatabaseObject,P extends Preprocessor<O>,D extends Distance<D>>	Abstract super class for distance functions needing a preprocessor.
ArcCosineDistanceFunction<V extends FeatureVector<V,?>>	Cosine distance function for feature vectors.
CosineDistanceFunction<V extends FeatureVector<V,?>>	Cosine distance function for feature vectors.
EuclideanDistanceFunction<V extends NumberVector<V,?>>	Provides the Euclidean distance for NumberVectors.
KernelBasedLocallyWeightedDistanceFunction<V extends RealVector<V,?>,P extends Preprocessor<V>>	Provides a kernel based locally weighted distance function.
LocallyWeightedDistanceFunction<V extends RealVector<V,?>,P extends Preprocessor<V>>	Provides a locally weighted distance function.
LPNormDistanceFunction<V extends FeatureVector<V,N>,N extends Number>	Provides a LP-Norm for FeatureVectors.
ManhattanDistanceFunction<V extends NumberVector<V,?>>	Manhattan distance function to compute the Manhattan distance for a pair of NumberVectors.
RepresentationSelectingDistanceFunction<O extends DatabaseObject,M extends MultiRepresentedObject<O>,D extends Distance<D>>	Distance function for multirepresented objects that selects one representation and computes the distances only within the selected representation.
WeightedDistanceFunction<V extends NumberVector<V,?>>	Provides the Weighted distance for feature vectors.

Package de.lmu.ifi.dbs.elki.distance.distancefunction Description

Distance functions for use within ELKI.