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

Packages that use QueryResult

de.lmu.ifi.dbs.elki.algorithm.clustering.subspace	Package to collect algorithms for clustering in axis-parallel subspaces, suitable as a task for the KDDTask main routine.
de.lmu.ifi.dbs.elki.database	Package collects variants of databases and related classes.
de.lmu.ifi.dbs.elki.index.tree.metrical	Package collects metrical tree-based index structures.
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	Package collects spatial tree-based index structures.
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
de.lmu.ifi.dbs.elki.preprocessing	Package collects preprocessors used for data preparation in a first step of various algorithms or distance measures.
de.lmu.ifi.dbs.elki.utilities	Package collects various classes and methods of global utility.

Uses of QueryResult in de.lmu.ifi.dbs.elki.algorithm.clustering.subspace

Methods in de.lmu.ifi.dbs.elki.algorithm.clustering.subspace that return types with arguments of type QueryResult

private Map<Integer,List<QueryResult<DoubleDistance>>>

PROCLUS.getLocalities(Set<Integer> m_c, Database<V> database)

Uses of QueryResult in de.lmu.ifi.dbs.elki.database

Methods in de.lmu.ifi.dbs.elki.database that return types with arguments of type QueryResult

<D extends Distance<D>> List<List<QueryResult<D>>>	SequentialDatabase.bulkKNNQueryForID(List<Integer> ids, int k, DistanceFunction<O,D> distanceFunction)
<D extends Distance<D>> List<List<QueryResult<D>>>	Database.bulkKNNQueryForID(List<Integer> ids, int k, DistanceFunction<O,D> distanceFunction) Performs k-nearest neighbor queries for the given object IDs.
<D extends Distance<D>> List<List<QueryResult<D>>>	InvertedListDatabase.bulkKNNQueryForID(List<Integer> ids, int k, DistanceFunction<O,D> distanceFunction) Performs k-nearest neighbor queries for the given object IDs.
<D extends Distance<D>> List<List<QueryResult<D>>>	SpatialIndexDatabase.bulkKNNQueryForID(List<Integer> ids, int k, DistanceFunction<O,D> distanceFunction)
<D extends Distance<D>> List<List<QueryResult<D>>>	MetricalIndexDatabase.bulkKNNQueryForID(List<Integer> ids, int k, DistanceFunction<O,D> distanceFunction)
<D extends Distance<D>> List<QueryResult<D>>	SequentialDatabase.kNNQueryForID(Integer id, int k, DistanceFunction<O,D> distanceFunction)
<D extends Distance<D>> List<QueryResult<D>>	Database.kNNQueryForID(Integer id, int k, DistanceFunction<O,D> distanceFunction) Performs a k-nearest neighbor query for the given object ID.
<D extends Distance<D>> List<QueryResult<D>>	InvertedListDatabase.kNNQueryForID(Integer id, int k, DistanceFunction<O,D> distanceFunction) Performs a k-nearest neighbor query for the given object ID.
<D extends Distance<D>> List<QueryResult<D>>	SpatialIndexDatabase.kNNQueryForID(Integer id, int k, DistanceFunction<O,D> distanceFunction)
<T extends Distance<T>> List<QueryResult<T>>	MetricalIndexDatabase.kNNQueryForID(Integer id, int k, DistanceFunction<O,T> distanceFunction)
<D extends Distance<D>> List<QueryResult<D>>	SequentialDatabase.kNNQueryForObject(O queryObject, int k, DistanceFunction<O,D> distanceFunction)
<D extends Distance<D>> List<QueryResult<D>>	Database.kNNQueryForObject(O queryObject, int k, DistanceFunction<O,D> distanceFunction) Performs a k-nearest neighbor query for the given object.
<D extends Distance<D>> List<QueryResult<D>>	InvertedListDatabase.kNNQueryForObject(O queryObject, int k, DistanceFunction<O,D> distanceFunction) Performs a k-nearest neighbor query for the given object.
<D extends Distance<D>> List<QueryResult<D>>	SpatialIndexDatabase.kNNQueryForObject(O queryObject, int k, DistanceFunction<O,D> distanceFunction)
<T extends Distance<T>> List<QueryResult<T>>	MetricalIndexDatabase.kNNQueryForObject(O queryObject, int k, DistanceFunction<O,T> distanceFunction)
<D extends Distance<D>> List<QueryResult<D>>	SequentialDatabase.rangeQuery(Integer id, String epsilon, DistanceFunction<O,D> distanceFunction)
<D extends Distance<D>> List<QueryResult<D>>	Database.rangeQuery(Integer id, String epsilon, DistanceFunction<O,D> distanceFunction) Performs a range query for the given object ID with the given epsilon range and the according distance function.
<D extends Distance<D>> List<QueryResult<D>>	InvertedListDatabase.rangeQuery(Integer id, String epsilon, DistanceFunction<O,D> distanceFunction) Performs a range query for the given object ID with the given epsilon range and the according distance function.
<D extends Distance<D>> List<QueryResult<D>>	SpatialIndexDatabase.rangeQuery(Integer id, String epsilon, DistanceFunction<O,D> distanceFunction)
<T extends Distance<T>> List<QueryResult<T>>	MetricalIndexDatabase.rangeQuery(Integer id, String epsilon, DistanceFunction<O,T> distanceFunction)
<D extends Distance<D>> List<QueryResult<D>>	SequentialDatabase.reverseKNNQuery(Integer id, int k, DistanceFunction<O,D> distanceFunction)
<D extends Distance<D>> List<QueryResult<D>>	Database.reverseKNNQuery(Integer id, int k, DistanceFunction<O,D> distanceFunction) Performs a reverse k-nearest neighbor query for the given object ID.
<D extends Distance<D>> List<QueryResult<D>>	InvertedListDatabase.reverseKNNQuery(Integer id, int k, DistanceFunction<O,D> distanceFunction) Performs a reverse k-nearest neighbor query for the given object ID.
<D extends Distance<D>> List<QueryResult<D>>	SpatialIndexDatabase.reverseKNNQuery(Integer id, int k, DistanceFunction<O,D> distanceFunction) Performs a reverse k-nearest neighbor query for the given object ID.
<T extends Distance<T>> List<QueryResult<T>>	MetricalIndexDatabase.reverseKNNQuery(Integer id, int k, DistanceFunction<O,T> distanceFunction)

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

Methods in de.lmu.ifi.dbs.elki.index.tree.metrical that return types with arguments of type QueryResult

abstract List<QueryResult<D>>	MetricalIndex.kNNQuery(O object, int k) Performs a k-nearest neighbor query for the given object with the given parameter k and the according distance function.
abstract List<QueryResult<D>>	MetricalIndex.rangeQuery(O object, String epsilon) Performs a range query for the given object with the given epsilon range and the according distance function.
abstract List<QueryResult<D>>	MetricalIndex.reverseKNNQuery(O object, int k) Performs a reverse k-nearest neighbor query for the given object ID.

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

Methods in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants that return types with arguments of type QueryResult

List<QueryResult<D>>	AbstractMTree.kNNQuery(O object, int k) Performs a k-nearest neighbor query for the given NumberVector with the given parameter k and the according distance function.
List<QueryResult<D>>	AbstractMTree.rangeQuery(O object, String epsilon) Performs a range query for the given spatial object with the given epsilon range and the according distance function.
List<QueryResult<D>>	AbstractMTree.reverseKNNQuery(O object, int k) Performs a reverse k-nearest neighbor query for the given object ID.

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

private void

AbstractMTree.doRangeQuery(Integer o_p, N node, Integer q, D r_q, List<QueryResult<D>> result) Performs a range query.

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

Methods in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mkapp that return types with arguments of type QueryResult

private List<QueryResult<D>>	MkAppTree.doReverseKNNQuery(int k, Integer q) Performs a reverse knn query.
List<QueryResult<D>>	MkAppTree.reverseKNNQuery(O object, int k) Performs a reverse k-nearest neighbor query for the given object ID.

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

Methods in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mkcop that return types with arguments of type QueryResult

List<QueryResult<D>>

MkCoPTree.reverseKNNQuery(O object, int k) Performs a reverse k-nearest neighbor query for the given object ID.

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

private void

MkCoPTree.doReverseKNNQuery(int k, Integer q, List<QueryResult<D>> result, List<Integer> candidates) Performs a reverse knn query.

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

Methods in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mkmax that return types with arguments of type QueryResult

List<QueryResult<D>>

MkMaxTree.reverseKNNQuery(O object, int k) Performs a reverse k-nearest neighbor query for the given object ID.

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

private void

MkMaxTree.doReverseKNNQuery(Integer q, MkMaxEntry<D> node_entry, MkMaxTreeNode<O,D> node, List<QueryResult<D>> result) Performs a k-nearest neighbor query in the specified subtree for the given query object.

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

Methods in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktab that return types with arguments of type QueryResult

List<QueryResult<D>>

MkTabTree.reverseKNNQuery(O object, int k) Performs a reverse k-nearest neighbor query for the given object ID.

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

private void

MkTabTree.doReverseKNNQuery(int k, Integer q, MkTabEntry<D> node_entry, MkTabTreeNode<O,D> node, List<QueryResult<D>> result) Performs a k-nearest neighbor query in the specified subtree for the given query object and the given parameter k.

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

Methods in de.lmu.ifi.dbs.elki.index.tree.spatial that return types with arguments of type QueryResult

abstract <D extends Distance<D>> List<List<QueryResult<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<QueryResult<D>>	SpatialIndex.kNNQuery(O obj, int k, DistanceFunction<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<QueryResult<D>>	SpatialIndex.rangeQuery(O obj, String epsilon, DistanceFunction<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<QueryResult<D>>	SpatialIndex.reverseKNNQuery(O object, int k, DistanceFunction<O,D> distanceFunction) Performs a reverse k-nearest neighbor query for the given object ID.

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

Methods in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants that return types with arguments of type QueryResult

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

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

Methods in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn that return types with arguments of type QueryResult

<T extends Distance<T>> List<QueryResult<T>>

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

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

private void

RdKNNTree.doReverseKNN(RdKNNNode<D> node, O o, List<QueryResult<D>> result) Performs a reverse knn query in the specified subtree.

Uses of QueryResult in de.lmu.ifi.dbs.elki.preprocessing

Method parameters in de.lmu.ifi.dbs.elki.preprocessing with type arguments of type QueryResult

protected void	KernelFourCPreprocessor.runVarianceAnalysis(Integer id, List<QueryResult<D>> neighbors, Database<V> database) This method implements the type of variance analysis to be computed for a given point.
protected void	PreDeConPreprocessor.runVarianceAnalysis(Integer id, List<QueryResult<D>> neighbors, Database<V> database) TODO provide correct commentary This method implements the type of variance analysis to be computed for a given point.
protected abstract void	ProjectedDBSCANPreprocessor.runVarianceAnalysis(Integer id, List<QueryResult<D>> neighbors, Database<V> database) This method implements the type of variance analysis to be computed for a given point.
protected void	FourCPreprocessor.runVarianceAnalysis(Integer id, List<QueryResult<D>> neighbors, Database<V> database) This method implements the type of variance analysis to be computed for a given point.

Uses of QueryResult in de.lmu.ifi.dbs.elki.utilities

Fields in de.lmu.ifi.dbs.elki.utilities with type parameters of type QueryResult

private SortedSet<QueryResult<D>>

KNNList.list The underlying set.

Methods in de.lmu.ifi.dbs.elki.utilities that return types with arguments of type QueryResult

List<QueryResult<D>>

KNNList.toList() Returns a list representation of this KList.

Methods in de.lmu.ifi.dbs.elki.utilities with parameters of type QueryResult

boolean	KNNList.add(QueryResult<D> o) Adds a new object to this list.
int	QueryResult.compareTo(QueryResult<D> o) Compares this QueryResult with the given QueryResult with respect to the distances.