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

Class LinearScanRawDoubleDistanceKNNQuery<O>

java.lang.Object

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

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

de.lmu.ifi.dbs.elki.database.query.knn.LinearScanKNNQuery<O,D>

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

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

Type Parameters:

O - Object type

All Implemented Interfaces:

DatabaseQuery, KNNQuery<O,DoubleDistance>, LinearScanQuery

public class LinearScanRawDoubleDistanceKNNQuery<O>
extends LinearScanPrimitiveDistanceKNNQuery<O,DoubleDistance>

Optimized linear scan query for PrimitiveDoubleDistanceFunctions.

Field Summary

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
LinearScanRawDoubleDistanceKNNQuery(PrimitiveDistanceQuery<O,DoubleDistance> distanceQuery) Constructor.

Method Summary

Methods

Modifier and Type	Method and Description
KNNResult<DoubleDistance>	getKNNForDBID(DBIDRef id, int k) Get the k nearest neighbors for a particular id.
KNNResult<DoubleDistance>	getKNNForObject(O obj, int k) Get the k nearest neighbors for a particular id.
protected void	linearScanBatchKNN(List<O> objs, List<KNNHeap<DoubleDistance>> heaps) Perform a linear scan batch kNN for primitive distance functions.

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

getKNNForBulkDBIDs, getKNNForBulkHeaps

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

Constructor Detail

LinearScanRawDoubleDistanceKNNQuery

public LinearScanRawDoubleDistanceKNNQuery(PrimitiveDistanceQuery<O,DoubleDistance> distanceQuery)

Constructor.

Parameters:

distanceQuery - Distance function to use

Method Detail

getKNNForDBID

public KNNResult<DoubleDistance> 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 LinearScanPrimitiveDistanceKNNQuery<O,DoubleDistance>

Parameters:

id - query object ID

k - Number of neighbors requested

Returns:

neighbors

getKNNForObject

public KNNResult<DoubleDistance> 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>

Overrides:

getKNNForObject in class LinearScanKNNQuery<O,DoubleDistance>

Parameters:

obj - Query object

k - Number of neighbors requested

Returns:

neighbors

linearScanBatchKNN

protected void linearScanBatchKNN(List<O> objs,
                      List<KNNHeap<DoubleDistance>> heaps)

Description copied from class: LinearScanPrimitiveDistanceKNNQuery

Perform a linear scan batch kNN for primitive distance functions.

Overrides:

linearScanBatchKNN in class LinearScanPrimitiveDistanceKNNQuery<O,DoubleDistance>

Parameters:

objs - Objects list

heaps - Heaps array