Uses of Class
de.lmu.ifi.dbs.elki.utilities.KNNList

Packages that use KNNList

de.lmu.ifi.dbs.elki.algorithm	Package to collect algorithms suitable as a task for the KDDTask main routine.
de.lmu.ifi.dbs.elki.algorithm.result	Package to collect result classes for the results of algorithms.
de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants	Package collects variants of the M-Tree.
de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mkapp	Package collects classes for the MkAppTree
de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mkcop	Package collects classes for the MkCoPTree
de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mkmax	Package collects classes for the MkMaxTree
de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktab	Package collects classes for the MkTabTree
de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants	Package collects variants of the R*-Tree.
de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn	Package collects classes for the RdKNNTree

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

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

private D

KNNJoin.processDataPages(N pr, N ps, HashMap<Integer,KNNList<D>> knnLists, D pr_knn_distance) Processes the two data pages pr and ps and determines the k-nearest neighors of pr in ps.

Uses of KNNList in de.lmu.ifi.dbs.elki.algorithm.result

Fields in de.lmu.ifi.dbs.elki.algorithm.result with type parameters of type KNNList

private HashMap<Integer,KNNList<D>>

KNNJoinResult.knnLists The kNN lists for each object.

Methods in de.lmu.ifi.dbs.elki.algorithm.result that return KNNList

KNNList<D>

KNNJoinResult.getKNNs(Integer id) Returns the knns of the object with the specified id.

Constructor parameters in de.lmu.ifi.dbs.elki.algorithm.result with type arguments of type KNNList

KNNJoinResult(HashMap<Integer,KNNList<D>> knnLists)
Creates a new KNNJoinResult.

Uses of KNNList in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants

Methods in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants with parameters of type KNNList

protected void

AbstractMTree.doKNNQuery(Integer q, KNNList<D> knnList) Performs a k-nearest neighbor query for the given NumberVector with the given parameter k and the according distance function.

Method parameters in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants with type arguments of type KNNList

protected void

AbstractMTree.batchNN(N node, List<Integer> ids, Map<Integer,KNNList<D>> knnLists) Performs a batch knn query.

Uses of KNNList in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mkapp

Method parameters in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mkapp with type arguments of type KNNList

private void	MkAppTree.adjustApproximatedKNNDistances(MkAppEntry<D> entry, Map<Integer,KNNList<D>> knnLists) Adjusts the knn distance in the subtree of the specified root entry.
private List<D>	MkAppTree.getMeanKNNList(List<Integer> ids, Map<Integer,KNNList<D>> knnLists)

Uses of KNNList in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mkcop

Method parameters in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mkcop with type arguments of type KNNList

private void	MkCoPTree.adjustApproximatedKNNDistances(MkCoPEntry<D> entry, Map<Integer,KNNList<D>> knnLists) Adjusts the knn distance in the subtree of the specified root entry.
private List<D>	MkCoPTree.getKNNList(Integer id, Map<Integer,KNNList<D>> knnLists)

Uses of KNNList in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mkmax

Methods in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mkmax with parameters of type KNNList

private void

MkMaxTree.preInsert(MkMaxEntry<D> q, MkMaxEntry<D> nodeEntry, KNNList<D> knns_q) Adapts the knn distances before insertion of entry q.

Method parameters in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mkmax with type arguments of type KNNList

private void

MkMaxTree.adjustKNNDistance(MkMaxEntry<D> entry, Map<Integer,KNNList<D>> knnLists) Adjusts the knn distance in the subtree of the specified root entry.

Uses of KNNList in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktab

Method parameters in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktab with type arguments of type KNNList

private void

MkTabTree.adjustKNNDistances(MkTabEntry<D> entry, Map<Integer,KNNList<D>> knnLists) Adjusts the knn distance in the subtree of the specified root entry.

Uses of KNNList 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 KNNList

protected <D extends Distance<D>> void

AbstractRStarTree.doKNNQuery(Object object, DistanceFunction<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.

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

protected <D extends Distance<D>> void

AbstractRStarTree.batchNN(N node, SpatialDistanceFunction<O,D> distanceFunction, Map<Integer,KNNList<D>> knnLists) Performs a batch knn query.

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

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

private void

RdKNNTree.preInsert(RdKNNEntry<D> q, RdKNNEntry<D> nodeEntry, KNNList<D> knns_q) Adapts the knn distances before insertion of entry q.

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

private void

RdKNNTree.adjustKNNDistance(RdKNNEntry<D> entry, Map<Integer,KNNList<D>> knnLists) Adjusts the knn distance in the subtree of the specified root entry.