Uses of Interface
de.lmu.ifi.dbs.elki.distance.distancefunction.SpatialPrimitiveDistanceFunction

Packages that use SpatialPrimitiveDistanceFunction

Package	Description
de.lmu.ifi.dbs.elki.algorithm	Algorithms suitable as a task for the KDDTask main routine.
de.lmu.ifi.dbs.elki.algorithm.clustering	Clustering algorithms.
de.lmu.ifi.dbs.elki.database.query.distance	Prepared queries for distances.
de.lmu.ifi.dbs.elki.distance.distancefunction	Distance functions for use within ELKI.
de.lmu.ifi.dbs.elki.distance.distancefunction.colorhistogram	Distance functions using correlations.
de.lmu.ifi.dbs.elki.distance.distancefunction.geo	Geographic (earth) distance functions.
de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski	Minkowski space L_p norms such as the popular Euclidean and Manhattan distances.
de.lmu.ifi.dbs.elki.distance.distancefunction.probabilistic	Distance from probability theory, mostly divergences such as K-L-divergence, J-divergence.
de.lmu.ifi.dbs.elki.distance.distancefunction.subspace	Distance functions based on subspaces.
de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.query	Queries on the R-Tree family of indexes: kNN and range queries.

Uses of SpatialPrimitiveDistanceFunction in de.lmu.ifi.dbs.elki.algorithm

Methods in de.lmu.ifi.dbs.elki.algorithm with parameters of type SpatialPrimitiveDistanceFunction

Modifier and Type	Method and Description
private List<KNNHeap<D>>	KNNJoin.initHeaps(SpatialPrimitiveDistanceFunction<V,D> distFunction, N pr) Initialize the heaps.
private void	KNNJoin.processDataPagesOptimize(SpatialPrimitiveDistanceFunction<V,D> distFunction, List<? extends KNNHeap<D>> pr_heaps, List<? extends KNNHeap<D>> ps_heaps, N pr, N ps) Processes the two data pages pr and ps and determines the k-nearest neighbors of pr in ps.

Uses of SpatialPrimitiveDistanceFunction in de.lmu.ifi.dbs.elki.algorithm.clustering

Methods in de.lmu.ifi.dbs.elki.algorithm.clustering with parameters of type SpatialPrimitiveDistanceFunction

Modifier and Type	Method and Description
private void	DeLiClu.expandDirNodes(SpatialPrimitiveDistanceFunction<NV,D> distFunction, DeLiCluNode node1, DeLiCluNode node2) Expands the specified directory nodes.
private void	DeLiClu.expandLeafNodes(SpatialPrimitiveDistanceFunction<NV,D> distFunction, DeLiCluNode node1, DeLiCluNode node2, DataStore<KNNList<D>> knns) Expands the specified leaf nodes.
private void	DeLiClu.expandNodes(DeLiCluTree index, SpatialPrimitiveDistanceFunction<NV,D> distFunction, DeLiClu.SpatialObjectPair nodePair, DataStore<KNNList<D>> knns) Expands the spatial nodes of the specified pair.
private void	DeLiClu.reinsertExpanded(SpatialPrimitiveDistanceFunction<NV,D> distFunction, DeLiCluTree index, List<TreeIndexPathComponent<DeLiCluEntry>> path, DataStore<KNNList<D>> knns) Reinserts the objects of the already expanded nodes.
private void	DeLiClu.reinsertExpanded(SpatialPrimitiveDistanceFunction<NV,D> distFunction, DeLiCluTree index, List<TreeIndexPathComponent<DeLiCluEntry>> path, int pos, SpatialDirectoryEntry parentEntry, DataStore<KNNList<D>> knns)

Uses of SpatialPrimitiveDistanceFunction in de.lmu.ifi.dbs.elki.database.query.distance

Fields in de.lmu.ifi.dbs.elki.database.query.distance declared as SpatialPrimitiveDistanceFunction

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

Methods in de.lmu.ifi.dbs.elki.database.query.distance that return SpatialPrimitiveDistanceFunction

Modifier and Type	Method and Description
SpatialPrimitiveDistanceFunction<? super V,D>	SpatialPrimitiveDistanceQuery.getDistanceFunction()
SpatialPrimitiveDistanceFunction<? super V,D>	SpatialDistanceQuery.getDistanceFunction() Get the inner distance function.

Constructors in de.lmu.ifi.dbs.elki.database.query.distance with parameters of type SpatialPrimitiveDistanceFunction

Constructor and Description
SpatialPrimitiveDistanceQuery(Relation<? extends V> relation, SpatialPrimitiveDistanceFunction<? super V,D> distanceFunction)

Uses of SpatialPrimitiveDistanceFunction in de.lmu.ifi.dbs.elki.distance.distancefunction

Subinterfaces of SpatialPrimitiveDistanceFunction in de.lmu.ifi.dbs.elki.distance.distancefunction

Modifier and Type	Interface and Description
interface	SpatialPrimitiveDoubleDistanceFunction<V extends SpatialComparable> Interface combining spatial primitive distance functions with primitive number distance functions.

Classes in de.lmu.ifi.dbs.elki.distance.distancefunction that implement SpatialPrimitiveDistanceFunction

Modifier and Type	Class and Description
class	AbstractSpatialDoubleDistanceFunction Abstract base class for typical distance functions that allow rectangle-to-rectangle lower bounds.
class	AbstractSpatialDoubleDistanceNorm Abstract base class for typical distance functions that allow rectangle-to-rectangle lower bounds.
class	ArcCosineDistanceFunction Cosine distance function for feature vectors.
class	BrayCurtisDistanceFunction Bray-Curtis distance function / Sørensen–Dice coefficient for continuous spaces.
class	CanberraDistanceFunction Canberra distance function, a variation of Manhattan distance.
class	ClarkDistanceFunction Clark distance function for vector spaces.
class	CosineDistanceFunction Cosine distance function for feature vectors.
class	Kulczynski1DistanceFunction Kulczynski similarity 1, in distance form.
class	LorentzianDistanceFunction Lorentzian distance function for vector spaces.
class	WeightedCanberraDistanceFunction Weighted Canberra distance function, a variation of Manhattan distance.

Uses of SpatialPrimitiveDistanceFunction in de.lmu.ifi.dbs.elki.distance.distancefunction.colorhistogram

Classes in de.lmu.ifi.dbs.elki.distance.distancefunction.colorhistogram that implement SpatialPrimitiveDistanceFunction

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

Uses of SpatialPrimitiveDistanceFunction in de.lmu.ifi.dbs.elki.distance.distancefunction.geo

Classes in de.lmu.ifi.dbs.elki.distance.distancefunction.geo that implement SpatialPrimitiveDistanceFunction

Modifier and Type	Class and Description
class	DimensionSelectingLatLngDistanceFunction Distance function for 2D vectors in Latitude, Longitude form.
class	LatLngDistanceFunction Distance function for 2D vectors in Latitude, Longitude form.
class	LngLatDistanceFunction Distance function for 2D vectors in Longitude, Latitude form.

Uses of SpatialPrimitiveDistanceFunction in de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski

Classes in de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski that implement SpatialPrimitiveDistanceFunction

Modifier and Type	Class and Description
class	EuclideanDistanceFunction Provides the Euclidean distance for FeatureVectors.
class	LPIntegerNormDistanceFunction Provides a LP-Norm for number vectors.
class	LPNormDistanceFunction Provides a LP-Norm for FeatureVectors.
class	ManhattanDistanceFunction Manhattan distance function to compute the Manhattan distance for a pair of FeatureVectors.
class	MaximumDistanceFunction Maximum distance function to compute the Maximum distance for a pair of FeatureVectors.
class	MinimumDistanceFunction Maximum distance function to compute the Minimum distance for a pair of FeatureVectors.
class	SquaredEuclideanDistanceFunction Provides the squared Euclidean distance for FeatureVectors.
class	WeightedEuclideanDistanceFunction Provides the Euclidean distance for FeatureVectors.
class	WeightedLPNormDistanceFunction Weighted version of the Minkowski L_p metrics distance function.
class	WeightedManhattanDistanceFunction Weighted version of the Minkowski L_p metrics distance function.
class	WeightedMaximumDistanceFunction Weighted version of the Minkowski L_p metrics distance function.
class	WeightedSquaredEuclideanDistanceFunction Provides the squared Euclidean distance for FeatureVectors.

Uses of SpatialPrimitiveDistanceFunction in de.lmu.ifi.dbs.elki.distance.distancefunction.probabilistic

Classes in de.lmu.ifi.dbs.elki.distance.distancefunction.probabilistic that implement SpatialPrimitiveDistanceFunction

Modifier and Type	Class and Description
class	ChiSquaredDistanceFunction Chi-Squared distance function, symmetric version.
class	JeffreyDivergenceDistanceFunction Provides the Jeffrey Divergence Distance for FeatureVectors.
class	JensenShannonDivergenceDistanceFunction Jensen-Shannon Divergence is essentially the same as Jeffrey divergence, only scaled by half.

Uses of SpatialPrimitiveDistanceFunction in de.lmu.ifi.dbs.elki.distance.distancefunction.subspace

Classes in de.lmu.ifi.dbs.elki.distance.distancefunction.subspace that implement SpatialPrimitiveDistanceFunction

Modifier and Type	Class and Description
class	DimensionSelectingDistanceFunction Provides a distance function that computes the distance between feature vectors as the absolute difference of their values in a specified dimension.
class	SubspaceEuclideanDistanceFunction Provides a distance function that computes the Euclidean distance between feature vectors only in specified dimensions.
class	SubspaceLPNormDistanceFunction Provides a distance function that computes the Euclidean distance between feature vectors only in specified dimensions.
class	SubspaceManhattanDistanceFunction Provides a distance function that computes the Euclidean distance between feature vectors only in specified dimensions.
class	SubspaceMaximumDistanceFunction Provides a distance function that computes the Euclidean distance between feature vectors only in specified dimensions.

Uses of SpatialPrimitiveDistanceFunction in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.query

Fields in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.query declared as SpatialPrimitiveDistanceFunction

Modifier and Type	Field and Description
protected SpatialPrimitiveDistanceFunction<? super O,D>	GenericRStarTreeRangeQuery.distanceFunction Spatial primitive distance function
protected SpatialPrimitiveDistanceFunction<? super O,D>	GenericRStarTreeKNNQuery.distanceFunction Spatial primitive distance function