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

Minkowski space L_p norms such as the popular Euclidean and Manhattan distances.

See: Description

Class Summary

Class	Description
EuclideanDistanceFunction	Euclidean distance for NumberVectors.
EuclideanDistanceFunction.Parameterizer	Parameterization class.
LPIntegerNormDistanceFunction	Lp-Norm for NumberVectors, optimized version for integer values of p.
LPIntegerNormDistanceFunction.Parameterizer	Parameterization class.
LPNormDistanceFunction	Lp-Norm (Minkowski norms) are a family of distances for NumberVectors.
LPNormDistanceFunction.Parameterizer	Parameterization class.
ManhattanDistanceFunction	Manhattan distance for NumberVectors.
ManhattanDistanceFunction.Parameterizer	Parameterization class.
MaximumDistanceFunction	Maximum distance for NumberVectors.
MaximumDistanceFunction.Parameterizer	Parameterization class.
MinimumDistanceFunction	Minimum distance for NumberVectors.
MinimumDistanceFunction.Parameterizer	Parameterization class.
SparseEuclideanDistanceFunction	Euclidean distance function, optimized for SparseNumberVectors.
SparseEuclideanDistanceFunction.Parameterizer	Parameterizer
SparseLPNormDistanceFunction	Lp-Norm, optimized for SparseNumberVectors.
SparseLPNormDistanceFunction.Parameterizer	Parameterizer
SparseManhattanDistanceFunction	Manhattan distance, optimized for SparseNumberVectors.
SparseManhattanDistanceFunction.Parameterizer	Parameterizer
SparseMaximumDistanceFunction	Maximum distance, optimized for SparseNumberVectors.
SparseMaximumDistanceFunction.Parameterizer	Parameterizer
SparseSquaredEuclideanDistanceFunction	Squared Euclidean distance function, optimized for SparseNumberVectors.
SparseSquaredEuclideanDistanceFunction.Parameterizer	Parameterizer
SquaredEuclideanDistanceFunction	Squared Euclidean distance, optimized for SparseNumberVectors.
SquaredEuclideanDistanceFunction.Parameterizer	Parameterization class.
WeightedEuclideanDistanceFunction	Weighted Euclidean distance for NumberVectors.
WeightedEuclideanDistanceFunction.Parameterizer	Parameterization class.
WeightedLPNormDistanceFunction	Weighted version of the Minkowski Lp norm distance for NumberVector.
WeightedLPNormDistanceFunction.Parameterizer	Parameterization class.
WeightedManhattanDistanceFunction	Weighted version of the Manhattan (L1) metric.
WeightedManhattanDistanceFunction.Parameterizer	Parameterization class.
WeightedMaximumDistanceFunction	Weighted version of the maximum distance function for NumberVectors.
WeightedMaximumDistanceFunction.Parameterizer	Parameterization class.
WeightedSquaredEuclideanDistanceFunction	Weighted squared Euclidean distance for NumberVectors.
WeightedSquaredEuclideanDistanceFunction.Parameterizer	Parameterization class.

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

Minkowski space L_p norms such as the popular Euclidean and Manhattan distances.