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 forNumberVector
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Classes in elki.distance.minkowski used by elki.database.query.distance Class Description SquaredEuclideanDistance Squared Euclidean distance, optimized forSparseNumberVector
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Classes in elki.distance.minkowski used by elki.distance.minkowski Class Description EuclideanDistance Euclidean distance forNumberVector
s.LPIntegerNormDistance Lp-Norm forNumberVector
s, optimized version for integer values of p.LPNormDistance Lp-Norm (Minkowski norms) are a family of distances forNumberVector
s.LPNormDistance.Par Parameterization class.ManhattanDistance Manhattan distance forNumberVector
s.MaximumDistance Maximum distance forNumberVector
s.MinimumDistance Minimum distance forNumberVector
s.SparseEuclideanDistance Euclidean distance function, optimized forSparseNumberVector
s.SparseLPNormDistance Lp-Norm, optimized forSparseNumberVector
s.SparseManhattanDistance Manhattan distance, optimized forSparseNumberVector
s.SparseMaximumDistance Maximum distance, optimized forSparseNumberVector
s.SparseSquaredEuclideanDistance Squared Euclidean distance function, optimized forSparseNumberVector
s.SquaredEuclideanDistance Squared Euclidean distance, optimized forSparseNumberVector
s.WeightedEuclideanDistance Weighted Euclidean distance forNumberVector
s.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 forNumberVector
s.WeightedSquaredEuclideanDistance Weighted squared Euclidean distance forNumberVector
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Classes in elki.distance.minkowski used by elki.index.tree.spatial.kd Class Description LPNormDistance Lp-Norm (Minkowski norms) are a family of distances forNumberVector
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Classes in elki.distance.minkowski used by elki.index.tree.spatial.rstarvariants.query Class Description SquaredEuclideanDistance Squared Euclidean distance, optimized forSparseNumberVector
s. -
Classes in elki.distance.minkowski used by elki.outlier.distance Class Description LPNormDistance Lp-Norm (Minkowski norms) are a family of distances forNumberVector
s.