Uses of Package
elki.distance.minkowski
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Packages that use elki.distance.minkowski Package Description elki.clustering.dbscan DBSCAN and its generalizations.elki.database.query.distance Prepared queries for distances.elki.distance.minkowski Minkowski space Lp norms such as the popular Euclidean and Manhattan distances.elki.index.tree.spatial.kd K-d-tree and variants.elki.index.tree.spatial.rstarvariants.query Queries on the R-Tree family of indexes: kNN and range queries.elki.outlier.distance Distance-based outlier detection algorithms, such as DBOutlier and kNN. -
Classes in elki.distance.minkowski used by elki.clustering.dbscan Class Description LPNormDistance Lp-Norm (Minkowski norms) are a family of distances forNumberVectors. -
Classes in elki.distance.minkowski used by elki.database.query.distance Class Description SquaredEuclideanDistance Squared Euclidean distance, optimized forSparseNumberVectors. -
Classes in elki.distance.minkowski used by elki.distance.minkowski Class Description EuclideanDistance Euclidean distance forNumberVectors.LPIntegerNormDistance Lp-Norm forNumberVectors, optimized version for integer values of p.LPNormDistance Lp-Norm (Minkowski norms) are a family of distances forNumberVectors.LPNormDistance.Par Parameterization class.ManhattanDistance Manhattan distance forNumberVectors.MaximumDistance Maximum distance forNumberVectors.MinimumDistance Minimum distance forNumberVectors.SparseEuclideanDistance Euclidean distance function, optimized forSparseNumberVectors.SparseLPNormDistance Lp-Norm, optimized forSparseNumberVectors.SparseManhattanDistance Manhattan distance, optimized forSparseNumberVectors.SparseMaximumDistance Maximum distance, optimized forSparseNumberVectors.SparseSquaredEuclideanDistance Squared Euclidean distance function, optimized forSparseNumberVectors.SquaredEuclideanDistance Squared Euclidean distance, optimized forSparseNumberVectors.WeightedEuclideanDistance Weighted Euclidean distance forNumberVectors.WeightedLPNormDistance Weighted version of the Minkowski Lp norm distance forNumberVector.WeightedManhattanDistance Weighted version of the Manhattan (L1) metric.WeightedMaximumDistance Weighted version of the maximum distance function forNumberVectors.WeightedSquaredEuclideanDistance Weighted squared Euclidean distance forNumberVectors. -
Classes in elki.distance.minkowski used by elki.index.tree.spatial.kd Class Description LPNormDistance Lp-Norm (Minkowski norms) are a family of distances forNumberVectors. -
Classes in elki.distance.minkowski used by elki.index.tree.spatial.rstarvariants.query Class Description SquaredEuclideanDistance Squared Euclidean distance, optimized forSparseNumberVectors. -
Classes in elki.distance.minkowski used by elki.outlier.distance Class Description LPNormDistance Lp-Norm (Minkowski norms) are a family of distances forNumberVectors.