de.lmu.ifi.dbs.elki.index.tree.spatial.kd

Class MinimalisticMemoryKDTree.KDTreeRangeQuery

java.lang.Object

de.lmu.ifi.dbs.elki.database.query.AbstractDataBasedQuery<O>

de.lmu.ifi.dbs.elki.database.query.range.AbstractDistanceRangeQuery<O,DoubleDistance>

de.lmu.ifi.dbs.elki.index.tree.spatial.kd.MinimalisticMemoryKDTree.KDTreeRangeQuery

All Implemented Interfaces:

DatabaseQuery, RangeQuery<O,DoubleDistance>

Enclosing class:

MinimalisticMemoryKDTree<O extends NumberVector<?>>

public class MinimalisticMemoryKDTree.KDTreeRangeQuery
extends AbstractDistanceRangeQuery<O,DoubleDistance>

kNN query for the k-d-tree.

Field Summary

Fields

Modifier and Type	Field and Description
private DoubleNorm<? super O>	norm Norm to use.

Fields inherited from class de.lmu.ifi.dbs.elki.database.query.range.AbstractDistanceRangeQuery

distanceQuery

Fields inherited from class de.lmu.ifi.dbs.elki.database.query.AbstractDataBasedQuery

relation

Fields inherited from interface de.lmu.ifi.dbs.elki.database.query.DatabaseQuery

HINT_BULK, HINT_EXACT, HINT_HEAVY_USE, HINT_NO_CACHE, HINT_OPTIMIZED_ONLY, HINT_SINGLE

Constructor Summary

Constructors

Constructor and Description
MinimalisticMemoryKDTree.KDTreeRangeQuery(DistanceQuery<O,DoubleDistance> distanceQuery, DoubleNorm<? super O> norm) Constructor.

Method Summary

Methods

Modifier and Type	Method and Description
DoubleDistanceDBIDPairList	getRangeForObject(O obj, DoubleDistance range) Get the nearest neighbors for a particular object in a given query range
private void	kdRangeSearch(int left, int right, int axis, O query, ModifiableDoubleDistanceDBIDList res, DBIDArrayIter iter, double radius) Perform a kNN search on the kd-tree.

Methods inherited from class de.lmu.ifi.dbs.elki.database.query.range.AbstractDistanceRangeQuery

getDistanceFactory, getRangeForDBID

Methods inherited from class de.lmu.ifi.dbs.elki.database.query.AbstractDataBasedQuery

getRelation

Methods inherited from class java.lang.Object

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

Field Detail

norm

private DoubleNorm<? super O extends NumberVector<?>> norm

Norm to use.

Constructor Detail

MinimalisticMemoryKDTree.KDTreeRangeQuery

public MinimalisticMemoryKDTree.KDTreeRangeQuery(DistanceQuery<O,DoubleDistance> distanceQuery,
                                         DoubleNorm<? super O> norm)

Constructor.

Parameters:

distanceQuery - Distance query

norm - Norm to use

Method Detail

getRangeForObject

public DoubleDistanceDBIDPairList getRangeForObject(O obj,
                                           DoubleDistance range)

Description copied from interface: RangeQuery

Get the nearest neighbors for a particular object in a given query range

Specified by:

getRangeForObject in interface RangeQuery<O extends NumberVector<?>,DoubleDistance>

Specified by:

getRangeForObject in class AbstractDistanceRangeQuery<O extends NumberVector<?>,DoubleDistance>

Parameters:

obj - Query object

range - Query range

Returns:

neighbors

kdRangeSearch

private void kdRangeSearch(int left,
                 int right,
                 int axis,
                 O query,
                 ModifiableDoubleDistanceDBIDList res,
                 DBIDArrayIter iter,
                 double radius)

Perform a kNN search on the kd-tree.

Parameters:

left - Subtree begin

right - Subtree end (exclusive)

axis - Current splitting axis

query - Query object

res - kNN heap

iter - Iterator variable (reduces memory footprint!)

radius - Query radius