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

Packages that use SpatialPrimitiveDistanceFunction

Package	Description
de.lmu.ifi.dbs.elki.algorithm.clustering	Clustering algorithms Clustering algorithms are supposed to implement the Algorithm-Interface.
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.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.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>	SpatialDistanceQuery.getDistanceFunction() Get the inner distance function.
SpatialPrimitiveDistanceFunction<? super V,D>	SpatialPrimitiveDistanceQuery.getDistanceFunction()

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	EuclideanDistanceFunction Provides the Euclidean distance 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.

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.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	DimensionsSelectingEuclideanDistanceFunction 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