Uses of Interface
elki.distance.SpatialPrimitiveDistance

Packages that use SpatialPrimitiveDistance

Package	Description
elki.algorithm	Miscellaneous algorithms.
elki.clustering.optics	OPTICS family of clustering algorithms.
elki.database.query.distance	Prepared queries for distances.
elki.distance	Distance functions for use within ELKI.
elki.distance.colorhistogram	Distance functions for color histograms.
elki.distance.geo	Geographic (earth) distance functions.
elki.distance.histogram	Distance functions for one-dimensional histograms.
elki.distance.minkowski	Minkowski space Lp norms such as the popular Euclidean and Manhattan distances.
elki.distance.probabilistic	Distance from probability theory, mostly divergences such as K-L-divergence, J-divergence, F-divergence, χ²-divergence, etc.
elki.distance.subspace	Distance functions based on subspaces.
elki.index.tree.spatial.rstarvariants.query	Queries on the R-Tree family of indexes: kNN and range queries.
elki.index.tree.spatial.rstarvariants.rdknn	RdKNNTree.
elki.index.tree.spatial.rstarvariants.strategies.reinsert	Reinsertion strategies for R-trees.
elki.similarity	Similarity functions.

Uses of SpatialPrimitiveDistance in elki.algorithm

Fields in elki.algorithm declared as SpatialPrimitiveDistance

Modifier and Type	Field	Description
protected SpatialPrimitiveDistance<?>	KNNJoin.distance	Distance function used.
protected SpatialPrimitiveDistance<?>	KNNJoin.Par.distance	The distance function to use.

Methods in elki.algorithm with parameters of type SpatialPrimitiveDistance

Modifier and Type	Method	Description
private java.util.List<KNNHeap>	KNNJoin.initHeaps(SpatialPrimitiveDistance<?> distFunction, AbstractRStarTreeNode<?,?> pr)	Initialize the heaps.
private void	KNNJoin.processDataPages(SpatialPrimitiveDistance<?> df, java.util.List<KNNHeap> pr_heaps, java.util.List<KNNHeap> ps_heaps, AbstractRStarTreeNode<?,?> pr, AbstractRStarTreeNode<?,?> ps)	Processes the two data pages pr and ps and determines the k-nearest neighbors of pr in ps.

Constructors in elki.algorithm with parameters of type SpatialPrimitiveDistance

Constructor	Description
KNNJoin(SpatialPrimitiveDistance<?> distance, int k)	Constructor.

Uses of SpatialPrimitiveDistance in elki.clustering.optics

Fields in elki.clustering.optics declared as SpatialPrimitiveDistance

Modifier and Type	Field	Description
protected SpatialPrimitiveDistance<? super V>	DeLiClu.distance	Distance function used.
protected SpatialPrimitiveDistance<? super V>	DeLiClu.Par.distance	The distance function to use.

Constructors in elki.clustering.optics with parameters of type SpatialPrimitiveDistance

Constructor	Description
DeLiClu(DeLiCluTreeFactory<? super V> indexer, SpatialPrimitiveDistance<? super V> distance, int minpts)	Constructor.

Uses of SpatialPrimitiveDistance in elki.database.query.distance

Fields in elki.database.query.distance declared as SpatialPrimitiveDistance

Modifier and Type	Field	Description
protected SpatialPrimitiveDistance<? super V>	SpatialPrimitiveDistanceQuery.distanceFunction	The distance function we use.

Methods in elki.database.query.distance that return SpatialPrimitiveDistance

Modifier and Type	Method	Description
SpatialPrimitiveDistance<? super V>	SpatialDistanceQuery.getDistance()	Get the inner distance function.
SpatialPrimitiveDistance<? super V>	SpatialPrimitiveDistanceQuery.getDistance()

Constructors in elki.database.query.distance with parameters of type SpatialPrimitiveDistance

Constructor	Description
SpatialPrimitiveDistanceQuery(Relation<? extends V> relation, SpatialPrimitiveDistance<? super V> distanceFunction)
SpatialPrimitiveDistanceSimilarityQuery(Relation<? extends O> relation, SpatialPrimitiveDistance<? super O> distanceFunction, PrimitiveSimilarity<? super O> similarityFunction)	Constructor.

Uses of SpatialPrimitiveDistance in elki.distance

Classes in elki.distance that implement SpatialPrimitiveDistance

Modifier and Type	Class	Description
class	ArcCosineDistance	Arcus cosine distance function for feature vectors.
class	ArcCosineUnitlengthDistance	Arcus cosine distance function for feature vectors.
class	BrayCurtisDistance	Bray-Curtis distance function / Sørensen–Dice coefficient for continuous vector spaces (not only binary data).
class	CanberraDistance	Canberra distance function, a variation of Manhattan distance.
class	ClarkDistance	Clark distance function for vector spaces.
class	CosineDistance	Cosine distance function for feature vectors.
class	CosineUnitlengthDistance	Cosine distance function for unit length feature vectors.
class	SqrtCosineDistance	Cosine distance function for feature vectors using the square root.
class	SqrtCosineUnitlengthDistance	Cosine distance function for unit length feature vectors using the square root.
class	WeightedCanberraDistance	Weighted Canberra distance function, a variation of Manhattan distance.

Uses of SpatialPrimitiveDistance in elki.distance.colorhistogram

Classes in elki.distance.colorhistogram that implement SpatialPrimitiveDistance

Modifier and Type	Class	Description
class	HistogramIntersectionDistance	Intersection distance for color histograms.

Uses of SpatialPrimitiveDistance in elki.distance.geo

Classes in elki.distance.geo that implement SpatialPrimitiveDistance

Modifier and Type	Class	Description
class	DimensionSelectingLatLngDistance	Distance function for 2D vectors in Latitude, Longitude form.
class	LatLngDistance	Distance function for 2D vectors in Latitude, Longitude form.
class	LngLatDistance	Distance function for 2D vectors in Longitude, Latitude form.

Uses of SpatialPrimitiveDistance in elki.distance.histogram

Classes in elki.distance.histogram that implement SpatialPrimitiveDistance

Modifier and Type	Class	Description
class	HistogramMatchDistance	Distance function based on histogram matching, i.e., Manhattan distance on the cumulative density function.

Uses of SpatialPrimitiveDistance in elki.distance.minkowski

Classes in elki.distance.minkowski that implement SpatialPrimitiveDistance

Modifier and Type	Class	Description
class	EuclideanDistance	Euclidean distance for NumberVectors.
class	LPIntegerNormDistance	Lp-Norm for NumberVectors, optimized version for integer values of p.
class	LPNormDistance	Lp-Norm (Minkowski norms) are a family of distances for NumberVectors.
class	ManhattanDistance	Manhattan distance for NumberVectors.
class	MaximumDistance	Maximum distance for NumberVectors.
class	MinimumDistance	Minimum distance for NumberVectors.
class	SquaredEuclideanDistance	Squared Euclidean distance, optimized for SparseNumberVectors.
class	WeightedEuclideanDistance	Weighted Euclidean distance for NumberVectors.
class	WeightedLPNormDistance	Weighted version of the Minkowski Lp norm distance for NumberVector.
class	WeightedManhattanDistance	Weighted version of the Manhattan (L1) metric.
class	WeightedMaximumDistance	Weighted version of the maximum distance function for NumberVectors.
class	WeightedSquaredEuclideanDistance	Weighted squared Euclidean distance for NumberVectors.

Uses of SpatialPrimitiveDistance in elki.distance.probabilistic

Classes in elki.distance.probabilistic that implement SpatialPrimitiveDistance

Modifier and Type	Class	Description
class	ChiDistance	χ distance function, symmetric version.
class	ChiSquaredDistance	χ² distance function, symmetric version.
class	FisherRaoDistance	Fisher-Rao riemannian metric for (discrete) probability distributions.
class	HellingerDistance	Hellinger metric / affinity / kernel, Bhattacharyya coefficient, fidelity similarity, Matusita distance, Hellinger-Kakutani metric on a probability distribution.
class	JeffreyDivergenceDistance	Jeffrey Divergence for NumberVectors is a symmetric, smoothened version of the KullbackLeiblerDivergenceAsymmetricDistance.
class	JensenShannonDivergenceDistance	Jensen-Shannon Divergence for NumberVectors is a symmetric, smoothened version of the KullbackLeiblerDivergenceAsymmetricDistance.
class	SqrtJensenShannonDivergenceDistance	The square root of Jensen-Shannon divergence is a metric.
class	TriangularDiscriminationDistance	Triangular Discrimination has relatively tight upper and lower bounds to the Jensen-Shannon divergence, but is much less expensive.
class	TriangularDistance	Triangular Distance has relatively tight upper and lower bounds to the (square root of the) Jensen-Shannon divergence, but is much less expensive.

Uses of SpatialPrimitiveDistance in elki.distance.subspace

Classes in elki.distance.subspace that implement SpatialPrimitiveDistance

Modifier and Type	Class	Description
class	OnedimensionalDistance	Distance function that computes the distance between feature vectors as the absolute difference of their values in a specified dimension only.
class	SubspaceEuclideanDistance	Euclidean distance function between NumberVectors only in specified dimensions.
class	SubspaceLPNormDistance	Lp-Norm distance function between NumberVectors only in specified dimensions.
class	SubspaceManhattanDistance	Manhattan distance function between NumberVectors only in specified dimensions.
class	SubspaceMaximumDistance	Maximum distance function between NumberVectors only in specified dimensions.

Uses of SpatialPrimitiveDistance in elki.index.tree.spatial.rstarvariants.query

Fields in elki.index.tree.spatial.rstarvariants.query declared as SpatialPrimitiveDistance

Modifier and Type	Field	Description
protected SpatialPrimitiveDistance<? super O>	RStarTreeDistancePrioritySearcher.distance	Spatial primitive distance function.
protected SpatialPrimitiveDistance<? super O>	RStarTreeKNNSearcher.distance	Spatial primitive distance function.
protected SpatialPrimitiveDistance<? super O>	RStarTreeRangeSearcher.distance	Spatial primitive distance function

Constructors in elki.index.tree.spatial.rstarvariants.query with parameters of type SpatialPrimitiveDistance

Constructor	Description
RStarTreeDistancePrioritySearcher(AbstractRStarTree<?,?,?> tree, Relation<? extends O> relation, SpatialPrimitiveDistance<? super O> distance)	Constructor.
RStarTreeKNNSearcher(AbstractRStarTree<?,?,?> tree, Relation<? extends O> relation, SpatialPrimitiveDistance<? super O> distance)	Constructor.
RStarTreeRangeSearcher(AbstractRStarTree<?,?,?> tree, Relation<? extends O> relation, SpatialPrimitiveDistance<? super O> distance)	Constructor.

Uses of SpatialPrimitiveDistance in elki.index.tree.spatial.rstarvariants.rdknn

Fields in elki.index.tree.spatial.rstarvariants.rdknn declared as SpatialPrimitiveDistance

Modifier and Type	Field	Description
(package private) SpatialPrimitiveDistance<NumberVector>	RdkNNSettings.distance	The distance function.

Methods in elki.index.tree.spatial.rstarvariants.rdknn with parameters of type SpatialPrimitiveDistance

Modifier and Type	Method	Description
private void	RdKNNTree.checkDistance(SpatialPrimitiveDistance<? super O> distance)	Throws an IllegalArgumentException if the specified distance function is not an instance of the distance function used by this index.
protected java.util.List<DoubleObjPair<RdKNNEntry>>	RdKNNTree.getSortedEntries(AbstractRStarTreeNode<?,?> node, SpatialComparable q, SpatialPrimitiveDistance<?> distance)	Sorts the entries of the specified node according to their minimum distance to the specified object.
DoubleDBIDList	RdKNNTree.reverseKNNQuery(DBID oid, int k, SpatialPrimitiveDistance<? super O> distance)

Constructors in elki.index.tree.spatial.rstarvariants.rdknn with parameters of type SpatialPrimitiveDistance

Constructor	Description
RdkNNSettings(int k_max, SpatialPrimitiveDistance<NumberVector> distance)	Constructor.

Uses of SpatialPrimitiveDistance in elki.index.tree.spatial.rstarvariants.strategies.reinsert

Fields in elki.index.tree.spatial.rstarvariants.strategies.reinsert declared as SpatialPrimitiveDistance

Modifier and Type	Field	Description
(package private) SpatialPrimitiveDistance<?>	AbstractPartialReinsert.distance	Distance function to use for measuring
(package private) SpatialPrimitiveDistance<?>	AbstractPartialReinsert.Par.distance	Distance function to use for measuring

Constructors in elki.index.tree.spatial.rstarvariants.strategies.reinsert with parameters of type SpatialPrimitiveDistance

Constructor	Description
AbstractPartialReinsert(double reinsertAmount, SpatialPrimitiveDistance<?> distance)	Constructor.
CloseReinsert(double reinsertAmount, SpatialPrimitiveDistance<?> distance)	Constructor.
FarReinsert(double reinsertAmount, SpatialPrimitiveDistance<?> distance)	Constructor.

Uses of SpatialPrimitiveDistance in elki.similarity

Classes in elki.similarity that implement SpatialPrimitiveDistance

Modifier and Type	Class	Description
class	Kulczynski1Similarity	Kulczynski similarity 1.