Uses of Class
de.lmu.ifi.dbs.elki.distance.distanceresultlist.DoubleDistanceKNNHeap

Packages that use DoubleDistanceKNNHeap

Package	Description
de.lmu.ifi.dbs.elki.algorithm	Algorithms suitable as a task for the KDDTask main routine.
de.lmu.ifi.dbs.elki.distance.distanceresultlist	Classes for building and storing the results of distance-based queries The classes in this package essentially form three groups: KNNHeap for building kNN results.
de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.query	Queries on the R-Tree family of indexes: kNN and range queries.

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

Method parameters in de.lmu.ifi.dbs.elki.algorithm with type arguments of type DoubleDistanceKNNHeap

Modifier and Type	Method and Description
private void	KNNJoin.processDataPagesDouble(SpatialPrimitiveDoubleDistanceFunction<? super V> df, N pr, N ps, List<DoubleDistanceKNNHeap> pr_heaps, List<DoubleDistanceKNNHeap> ps_heaps) Processes the two data pages pr and ps and determines the k-nearest neighbors of pr in ps.
private void	KNNJoin.processDataPagesDouble(SpatialPrimitiveDoubleDistanceFunction<? super V> df, N pr, N ps, List<DoubleDistanceKNNHeap> pr_heaps, List<DoubleDistanceKNNHeap> ps_heaps) Processes the two data pages pr and ps and determines the k-nearest neighbors of pr in ps.

Uses of DoubleDistanceKNNHeap in de.lmu.ifi.dbs.elki.distance.distanceresultlist

Constructors in de.lmu.ifi.dbs.elki.distance.distanceresultlist with parameters of type DoubleDistanceKNNHeap

Constructor and Description
DoubleDistanceKNNList(DoubleDistanceKNNHeap heap) Constructor, to be called from KNNHeap only.

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

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

Modifier and Type	Method and Description
protected void	DoubleDistanceRStarTreeKNNQuery.doKNNQuery(O object, DoubleDistanceKNNHeap knnList) Performs a k-nearest neighbor query for the given NumberVector with the given parameter k and the according distance function.
private double	DoubleDistanceRStarTreeKNNQuery.expandNode(O object, DoubleDistanceKNNHeap knnList, Heap<DoubleDistanceSearchCandidate> pq, double maxDist, int nodeID)

Method parameters in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.query with type arguments of type DoubleDistanceKNNHeap

Modifier and Type	Method and Description
protected void	DoubleDistanceRStarTreeKNNQuery.batchNN(AbstractRStarTreeNode<?,?> node, Map<DBID,DoubleDistanceKNNHeap> knnLists) Performs a batch knn query.