de.lmu.ifi.dbs.elki.database.query.knn

Class DoubleOptimizedDistanceKNNQuery<O>

java.lang.Object

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

de.lmu.ifi.dbs.elki.database.query.knn.AbstractDistanceKNNQuery<O,DoubleDistance>

de.lmu.ifi.dbs.elki.database.query.knn.DoubleOptimizedDistanceKNNQuery<O>

Type Parameters:

O - Object type

All Implemented Interfaces:

DatabaseQuery, KNNQuery<O,DoubleDistance>, LinearScanQuery

public class DoubleOptimizedDistanceKNNQuery<O>
extends AbstractDistanceKNNQuery<O,DoubleDistance>
implements LinearScanQuery

Optimized linear scan query for PrimitiveDoubleDistanceFunctions.

Field Summary

Fields

Modifier and Type	Field and Description
(package private) PrimitiveDoubleDistanceFunction<O>	rawdist Raw distance function.

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

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
DoubleOptimizedDistanceKNNQuery(PrimitiveDistanceQuery<O,DoubleDistance> distanceQuery) Constructor.newDoubleDistanceHeap

Method Summary

Methods

Modifier and Type	Method and Description
DoubleDistanceKNNList	getKNNForDBID(DBIDRef id, int k) Get the k nearest neighbors for a particular id.
DoubleDistanceKNNList	getKNNForObject(O obj, int k) Get the k nearest neighbors for a particular id.
private static <O> void	linearScan(Relation<? extends O> relation, DBIDIter iter, PrimitiveDoubleDistanceFunction<? super O> rawdist, O obj, DoubleDistanceKNNHeap heap)

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

getKNNForBulkDBIDs

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

rawdist

PrimitiveDoubleDistanceFunction<O> rawdist

Raw distance function.

Constructor Detail

DoubleOptimizedDistanceKNNQuery

public DoubleOptimizedDistanceKNNQuery(PrimitiveDistanceQuery<O,DoubleDistance> distanceQuery)

Constructor.newDoubleDistanceHeap

Parameters:

distanceQuery - Distance function to use

Method Detail

getKNNForDBID

public DoubleDistanceKNNList getKNNForDBID(DBIDRef id,
                                  int k)

Description copied from interface: KNNQuery

Get the k nearest neighbors for a particular id.

Specified by:

getKNNForDBID in interface KNNQuery<O,DoubleDistance>

Overrides:

getKNNForDBID in class AbstractDistanceKNNQuery<O,DoubleDistance>

Parameters:

id - query object ID

k - Number of neighbors requested

Returns:

neighbors

getKNNForObject

public DoubleDistanceKNNList getKNNForObject(O obj,
                                    int k)

Description copied from interface: KNNQuery

Get the k nearest neighbors for a particular id.

Specified by:

getKNNForObject in interface KNNQuery<O,DoubleDistance>

Specified by:

getKNNForObject in class AbstractDistanceKNNQuery<O,DoubleDistance>

Parameters:

obj - Query object

k - Number of neighbors requested

Returns:

neighbors

linearScan

private static <O> void linearScan(Relation<? extends O> relation,
                  DBIDIter iter,
                  PrimitiveDoubleDistanceFunction<? super O> rawdist,
                  O obj,
                  DoubleDistanceKNNHeap heap)