Uses of Interface
de.lmu.ifi.dbs.elki.database.query.range.RangeQuery

Packages that use RangeQuery

de.lmu.ifi.dbs.elki.algorithm.clustering	Clustering algorithms Clustering algorithms are supposed to implement the Algorithm-Interface.
de.lmu.ifi.dbs.elki.algorithm.clustering.subspace	Axis-parallel subspace clustering algorithms The clustering algorithms in this package are instances of both, projected clustering algorithms or subspace clustering algorithms according to the classical but somewhat obsolete classification schema of clustering algorithms for axis-parallel subspaces.
de.lmu.ifi.dbs.elki.database	ELKI database layer - loading, storing, indexing and accessing data
de.lmu.ifi.dbs.elki.database.query.range	Prepared queries for ε-range queries.
de.lmu.ifi.dbs.elki.index	Index structure implementations
de.lmu.ifi.dbs.elki.index.preprocessed.localpca	Index using a preprocessed local PCA.
de.lmu.ifi.dbs.elki.index.preprocessed.preference	Indexes storing preference vectors.
de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp	MkAppTree
de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop	MkCoPTree
de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax	MkMaxTree
de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab	MkTabTree
de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mtree	MTree
de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.query	Classes for performing queries (knn, range, ...) on metrical trees.
de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu	DeLiCluTree
de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.query	Queries on the R-Tree family of indexes: kNN and range queries.
de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rstar	RStarTree

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

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

protected void	DBSCAN.expandCluster(Database database, RangeQuery<O,D> rangeQuery, DBID startObjectID, FiniteProgress objprog, IndefiniteProgress clusprog) DBSCAN-function expandCluster.
protected void	AbstractProjectedDBSCAN.expandCluster(LocallyWeightedDistanceFunction.Instance<V> distFunc, RangeQuery<V,DoubleDistance> rangeQuery, DBID startObjectID, FiniteProgress objprog, IndefiniteProgress clusprog) ExpandCluster function of DBSCAN.
protected void	OPTICS.expandClusterOrder(ClusterOrderResult<D> clusterOrder, Database database, RangeQuery<O,D> rangeQuery, DBID objectID, D epsilon, FiniteProgress progress) OPTICS-function expandClusterOrder.
protected void	OPTICS.expandClusterOrderDouble(ClusterOrderResult<DoubleDistance> clusterOrder, Database database, RangeQuery<O,DoubleDistance> rangeQuery, DBID objectID, DoubleDistance epsilon, FiniteProgress progress) OPTICS-function expandClusterOrder.

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

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

private Map<DBID,Set<Integer>>	PROCLUS.findDimensions(DBIDs medoids, Relation<V> database, DistanceQuery<V,DoubleDistance> distFunc, RangeQuery<V,DoubleDistance> rangeQuery) Determines the set of correlated dimensions for each medoid in the specified medoid set.
private Map<DBID,List<DistanceResultPair<DoubleDistance>>>	PROCLUS.getLocalities(DBIDs medoids, Relation<V> database, DistanceQuery<V,DoubleDistance> distFunc, RangeQuery<V,DoubleDistance> rangeQuery) Computes the localities of the specified medoids: for each medoid m the objects in the sphere centered at m with radius minDist are determined, where minDist is the minimum distance between medoid m and any other medoid m_i.

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

Methods in de.lmu.ifi.dbs.elki.database that return RangeQuery

static <O,D extends Distance<D>> RangeQuery<O,D>	QueryUtil.getLinearScanRangeQuery(DistanceQuery<O,D> distanceQuery) Get a linear scan query for the given distance query.
static <O,D extends Distance<D>> RangeQuery<O,D>	QueryUtil.getRangeQuery(Database database, DistanceFunction<? super O,D> distanceFunction, Object... hints) Get a range query object for the given distance function.
<O,D extends Distance<D>> RangeQuery<O,D>	AbstractDatabase.getRangeQuery(DistanceQuery<O,D> distanceQuery, Object... hints)
<O,D extends Distance<D>> RangeQuery<O,D>	Database.getRangeQuery(DistanceQuery<O,D> distanceQuery, Object... hints) Get a range query object for the given distance query.
static <O,D extends Distance<D>> RangeQuery<O,D>	QueryUtil.getRangeQuery(Relation<O> relation, DistanceFunction<? super O,D> distanceFunction, Object... hints) Get a range query object for the given distance function.

Uses of RangeQuery in de.lmu.ifi.dbs.elki.database.query.range

Classes in de.lmu.ifi.dbs.elki.database.query.range that implement RangeQuery

class	AbstractDistanceRangeQuery<O,D extends Distance<D>> Abstract base class for range queries that use a distance query in their instance
class	LinearScanPrimitiveDistanceRangeQuery<O,D extends Distance<D>> Default linear scan range query class.
class	LinearScanRangeQuery<O,D extends Distance<D>> Default linear scan range query class.
class	LinearScanRawDoubleDistanceRangeQuery<O> Default linear scan range query class.

Uses of RangeQuery in de.lmu.ifi.dbs.elki.index

Methods in de.lmu.ifi.dbs.elki.index that return RangeQuery

<D extends Distance<D>> RangeQuery<O,D>

RangeIndex.getRangeQuery(DistanceQuery<O,D> distanceQuery, Object... hints) Get a range query object for the given distance query and k.

Uses of RangeQuery in de.lmu.ifi.dbs.elki.index.preprocessed.localpca

Fields in de.lmu.ifi.dbs.elki.index.preprocessed.localpca declared as RangeQuery

private RangeQuery<NV,DoubleDistance>

RangeQueryFilteredPCAIndex.rangeQuery The kNN query instance we use

Constructors in de.lmu.ifi.dbs.elki.index.preprocessed.localpca with parameters of type RangeQuery

RangeQueryFilteredPCAIndex(Relation<NV> database, PCAFilteredRunner<NV> pca, RangeQuery<NV,DoubleDistance> rangeQuery, DoubleDistance epsilon)
Constructor.

Uses of RangeQuery in de.lmu.ifi.dbs.elki.index.preprocessed.preference

Methods in de.lmu.ifi.dbs.elki.index.preprocessed.preference that return RangeQuery

private RangeQuery<V,DoubleDistance>[]

DiSHPreferenceVectorIndex.initRangeQueries(Relation<V> relation, int dimensionality) Initializes the dimension selecting distancefunctions to determine the preference vectors.

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

Methods in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp that return RangeQuery

<S extends Distance<S>> RangeQuery<O,S>

MkAppTreeIndex.getRangeQuery(DistanceQuery<O,S> distanceQuery, Object... hints)

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

Methods in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop that return RangeQuery

<S extends Distance<S>> RangeQuery<O,S>

MkCoPTreeIndex.getRangeQuery(DistanceQuery<O,S> distanceQuery, Object... hints)

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

Methods in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax that return RangeQuery

<S extends Distance<S>> RangeQuery<O,S>

MkMaxTreeIndex.getRangeQuery(DistanceQuery<O,S> distanceQuery, Object... hints)

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

Methods in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab that return RangeQuery

<S extends Distance<S>> RangeQuery<O,S>

MkTabTreeIndex.getRangeQuery(DistanceQuery<O,S> distanceQuery, Object... hints)

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

Methods in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mtree that return RangeQuery

<S extends Distance<S>> RangeQuery<O,S>

MTreeIndex.getRangeQuery(DistanceQuery<O,S> distanceQuery, Object... hints)

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

Classes in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.query that implement RangeQuery

class

MetricalIndexRangeQuery<O,D extends Distance<D>> Instance of a range query for a particular spatial index.

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

Methods in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu that return RangeQuery

<D extends Distance<D>> RangeQuery<O,D>

DeLiCluTreeIndex.getRangeQuery(DistanceQuery<O,D> distanceQuery, Object... hints)

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

Classes in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.query that implement RangeQuery

class	DoubleDistanceRStarTreeRangeQuery<O extends SpatialComparable> Instance of a range query for a particular spatial index.
class	GenericRStarTreeRangeQuery<O extends SpatialComparable,D extends Distance<D>> Instance of a range query for a particular spatial index.

Methods in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.query that return RangeQuery

static <O extends SpatialComparable,D extends Distance<D>> RangeQuery<O,D>

RStarTreeUtil.getRangeQuery(AbstractRStarTree<?,?> tree, SpatialDistanceQuery<O,D> distanceQuery, Object... hints) Get an RTree range query, using an optimized double implementation when possible.

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

Methods in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rstar that return RangeQuery

<D extends Distance<D>> RangeQuery<O,D>

RStarTreeIndex.getRangeQuery(DistanceQuery<O,D> distanceQuery, Object... hints)