Uses of Interface
de.lmu.ifi.dbs.elki.index.tree.spatial.SpatialDistanceFunction

Packages that use SpatialDistanceFunction

de.lmu.ifi.dbs.elki.algorithm.clustering	Clustering algorithms Clustering algorithms are supposed to implement the Algorithm-Interface.
de.lmu.ifi.dbs.elki.distance.distancefunction	Distance functions for use within ELKI.
de.lmu.ifi.dbs.elki.distance.distancefunction.subspace	Distance functions based on subspaces.
de.lmu.ifi.dbs.elki.index.tree.spatial	Tree-based index structures for spatial indexing.
de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants	R*-Tree and variants.
de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn	RdKNNTree

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

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

private void	DeLiClu.expandDirNodes(SpatialDistanceFunction<O,D> distFunction, DeLiCluNode node1, DeLiCluNode node2) Expands the specified directory nodes.
private void	DeLiClu.expandLeafNodes(SpatialDistanceFunction<O,D> distFunction, DeLiCluNode node1, DeLiCluNode node2, AnnotationResult<KNNList<D>> knns) Expands the specified directory nodes.
private void	DeLiClu.expandNodes(DeLiCluTree<O> index, SpatialDistanceFunction<O,D> distFunction, DeLiClu.SpatialObjectPair nodePair, AnnotationResult<KNNList<D>> knns) Expands the spatial nodes of the specified pair.
private void	DeLiClu.reinsertExpanded(SpatialDistanceFunction<O,D> distFunction, DeLiCluTree<O> index, List<TreeIndexPathComponent<DeLiCluEntry>> path, AnnotationResult<KNNList<D>> knns) Reinserts the objects of the already expanded nodes.
private void	DeLiClu.reinsertExpanded(SpatialDistanceFunction<O,D> distFunction, DeLiCluTree<O> index, List<TreeIndexPathComponent<DeLiCluEntry>> path, int pos, SpatialEntry parentEntry, AnnotationResult<KNNList<D>> knns)

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

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

class	EuclideanDistanceFunction<V extends NumberVector<V,?>> Provides the Euclidean distance for FeatureVectors.
class	LocallyWeightedDistanceFunction<V extends NumberVector<V,?>,P extends LocalPCAPreprocessor<V>> Provides a locally weighted distance function.

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

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

class	DimensionSelectingDistanceFunction<V extends NumberVector<V,?>> Provides a distance function that computes the distance between feature vectors as the absolute difference of their values in a specified dimension.
class	DimensionsSelectingEuclideanDistanceFunction<V extends NumberVector<V,?>> Provides a distance function that computes the Euclidean distance between feature vectors only in specified dimensions.

Uses of SpatialDistanceFunction in de.lmu.ifi.dbs.elki.index.tree.spatial

Methods in de.lmu.ifi.dbs.elki.index.tree.spatial with parameters of type SpatialDistanceFunction

abstract <D extends Distance<D>> List<List<DistanceResultPair<D>>>	SpatialIndex.bulkKNNQueryForIDs(List<Integer> ids, int k, SpatialDistanceFunction<O,D> distanceFunction) Performs a bulk k-nearest neighbor query for the given object IDs.
abstract <D extends Distance<D>> List<DistanceResultPair<D>>	SpatialIndex.kNNQuery(O obj, int k, SpatialDistanceFunction<O,D> distanceFunction) Performs a k-nearest neighbor query for the given object with the given parameter k and the according distance function.
abstract <D extends Distance<D>> List<DistanceResultPair<D>>	SpatialIndex.rangeQuery(O obj, D epsilon, SpatialDistanceFunction<O,D> distanceFunction) Performs a range query for the given object with the given epsilon range and the according distance function.
abstract <D extends Distance<D>> List<DistanceResultPair<D>>	SpatialIndex.rangeQuery(O obj, String epsilon, SpatialDistanceFunction<O,D> distanceFunction) Performs a range query for the given object with the given epsilon range and the according distance function.
abstract <D extends Distance<D>> List<DistanceResultPair<D>>	SpatialIndex.reverseKNNQuery(O object, int k, SpatialDistanceFunction<O,D> distanceFunction) Performs a reverse k-nearest neighbor query for the given object ID.

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

Methods in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants with parameters of type SpatialDistanceFunction

protected <D extends Distance<D>> void	AbstractRStarTree.batchNN(N node, SpatialDistanceFunction<O,D> distanceFunction, Map<Integer,KNNList<D>> knnLists) Performs a batch knn query.
<D extends Distance<D>> List<List<DistanceResultPair<D>>>	AbstractRStarTree.bulkKNNQueryForIDs(List<Integer> ids, int k, SpatialDistanceFunction<O,D> distanceFunction) Performs a bulk k-nearest neighbor query for the given object IDs.
protected <D extends Distance<D>> void	AbstractRStarTree.doKNNQuery(Object object, SpatialDistanceFunction<O,D> distanceFunction, KNNList<D> knnList) Performs a k-nearest neighbor query for the given NumberVector with the given parameter k and the according distance function.
protected <D extends Distance<D>> List<DistanceEntry<D,E>>	AbstractRStarTree.getSortedEntries(N node, Collection<Integer> ids, SpatialDistanceFunction<O,D> distanceFunction) Sorts the entries of the specified node according to their minimum distance to the specified objects.
protected <D extends Distance<D>> List<DistanceEntry<D,E>>	AbstractRStarTree.getSortedEntries(N node, Integer q, SpatialDistanceFunction<O,D> distanceFunction) Sorts the entries of the specified node according to their minimum distance to the specified object.
<D extends Distance<D>> List<DistanceResultPair<D>>	AbstractRStarTree.kNNQuery(O object, int k, SpatialDistanceFunction<O,D> distanceFunction) Performs a k-nearest neighbor query for the given NumberVector with the given parameter k and the according distance function.
<D extends Distance<D>> List<DistanceResultPair<D>>	AbstractRStarTree.rangeQuery(O object, D epsilon, SpatialDistanceFunction<O,D> distanceFunction) Performs a range query for the given spatial object with the given epsilon range and the according distance function.
<D extends Distance<D>> List<DistanceResultPair<D>>	AbstractRStarTree.rangeQuery(O object, String epsilon, SpatialDistanceFunction<O,D> distanceFunction) Performs a range query for the given spatial object with the given epsilon range and the according distance function.
<D extends Distance<D>> List<DistanceResultPair<D>>	AbstractRStarTree.reverseKNNQuery(O object, int k, SpatialDistanceFunction<O,D> distanceFunction) Performs a reverse k-nearest neighbor query for the given object ID.

Uses of SpatialDistanceFunction in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn

Fields in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn declared as SpatialDistanceFunction

private SpatialDistanceFunction<O,D>

RdKNNTree.distanceFunction The distance function.

Fields in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn with type parameters of type SpatialDistanceFunction

private ObjectParameter<SpatialDistanceFunction<O,D>>

RdKNNTree.DISTANCE_FUNCTION_PARAM Parameter for distance function

Methods in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn with parameters of type SpatialDistanceFunction

<T extends Distance<T>> List<DistanceResultPair<T>>

RdKNNTree.reverseKNNQuery(O object, int k, SpatialDistanceFunction<O,T> distanceFunction) Performs a reverse k-nearest neighbor query for the given object ID.