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.
LocalPCAPreprocessorBasedDistanceFunction<O extends NumberVector<O,?>,P extends LocalPCAPreprocessor<O>,D extends Distance<D>>	Interface for local PCA based preprocessors.
PreprocessorBasedDistanceFunction<O extends DatabaseObject,P extends Preprocessor<O>,D extends Distance<D>>	Interface to mark preprocessor based distance functions.

Class Summary

AbstractDistanceFunction<O extends DatabaseObject,D extends Distance<D>>	AbstractDistanceFunction provides some methods valid for any extending class.
AbstractLocallyWeightedDistanceFunction<O extends NumberVector<O,?>,P extends LocalPCAPreprocessor<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 NumberVector<V,?>>	Cosine distance function for feature vectors.
CosineDistanceFunction<V extends NumberVector<V,?>>	Cosine distance function for feature vectors.
EuclideanDistanceFunction<V extends NumberVector<V,?>>	Provides the Euclidean distance for FeatureVectors.
KernelBasedLocallyWeightedDistanceFunction<V extends NumberVector<V,?>,P extends LocalPCAPreprocessor<V>>	Provides a kernel based locally weighted distance function.
LocallyWeightedDistanceFunction<V extends NumberVector<V,?>,P extends LocalPCAPreprocessor<V>>	Provides a locally weighted distance function.
LPNormDistanceFunction<V extends NumberVector<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 FeatureVectors.
MaximumDistanceFunction<V extends NumberVector<V,?>>	Maximum distance function to compute the Maximum distance for a pair of FeatureVectors.
MinimumDistanceFunction<V extends NumberVector<V,?>>	Maximum distance function to compute the Minimum distance for a pair of FeatureVectors.
PCACorrelationDistance	The correlation distance is a special Distance that indicates the dissimilarity between correlation connected objects.
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.