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

Packages that use de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski

Package	Description
de.lmu.ifi.dbs.elki.algorithm.outlier.distance	Distance-based outlier detection algorithms, such as DBOutlier and kNN.
de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski	Minkowski space Lp norms such as the popular Euclidean and Manhattan distances.
de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.query	Queries on the R-Tree family of indexes: kNN and range queries

Classes in de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski used by de.lmu.ifi.dbs.elki.algorithm.outlier.distance

Class and Description
LPNormDistanceFunction Lp-Norm (Minkowski norms) are a family of distances for NumberVectors.

Classes in de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski used by de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski

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

Classes in de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski used by de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.query

Class and Description
SquaredEuclideanDistanceFunction Squared Euclidean distance, optimized for SparseNumberVectors.