de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.query

Class RStarTreeUtil

java.lang.Object

de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.query.RStarTreeUtil

public final class RStarTreeUtil
extends Object

Utility class for RStar trees

Constructor Summary

Constructors

Constructor and Description
RStarTreeUtil()

Method Summary

Methods

Modifier and Type	Method and Description
static <O extends SpatialComparable,D extends Distance<D>> KNNQuery<O,D>	getKNNQuery(AbstractRStarTree<?,?,?> tree, SpatialDistanceQuery<O,D> distanceQuery, Object... hints) Get an RTree knn query, using an optimized double implementation when possible.
static <O extends SpatialComparable,D extends Distance<D>> RangeQuery<O,D>	getRangeQuery(AbstractRStarTree<?,?,?> tree, SpatialDistanceQuery<O,D> distanceQuery, Object... hints) Get an RTree range query, using an optimized double implementation when possible.

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

RStarTreeUtil

public RStarTreeUtil()

Method Detail

getRangeQuery

public static <O extends SpatialComparable,D extends Distance<D>> RangeQuery<O,D> getRangeQuery(AbstractRStarTree<?,?,?> tree,
                                                                                SpatialDistanceQuery<O,D> distanceQuery,
                                                                                Object... hints)

Get an RTree range query, using an optimized double implementation when possible.

Type Parameters:

O - Object type

D - Distance type

Parameters:

tree - Tree to query

distanceQuery - distance query

hints - Optimizer hints

Returns:

Query object

getKNNQuery

public static <O extends SpatialComparable,D extends Distance<D>> KNNQuery<O,D> getKNNQuery(AbstractRStarTree<?,?,?> tree,
                                                                            SpatialDistanceQuery<O,D> distanceQuery,
                                                                            Object... hints)

Get an RTree knn query, using an optimized double implementation when possible.

Type Parameters:

O - Object type

D - Distance type

Parameters:

tree - Tree to query

distanceQuery - distance query

hints - Optimizer hints

Returns:

Query object