de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.query

Class DoubleDistanceMetricalIndexKNNQuery<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.index.tree.metrical.mtreevariants.query.DoubleDistanceMetricalIndexKNNQuery<O>

Type Parameters:

O - Object type

All Implemented Interfaces:

DatabaseQuery, KNNQuery<O,DoubleDistance>

public class DoubleDistanceMetricalIndexKNNQuery<O>
extends AbstractDistanceKNNQuery<O,DoubleDistance>

Instance of a KNN query for a particular spatial index.

Field Summary

Fields

Modifier and Type	Field and Description
protected PrimitiveDoubleDistanceFunction<? super O>	distf Distance function
protected AbstractMTree<O,DoubleDistance,?,?>	index The index to use

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
DoubleDistanceMetricalIndexKNNQuery(AbstractMTree<O,DoubleDistance,?,?> index, DistanceQuery<O,DoubleDistance> distanceQuery, PrimitiveDoubleDistanceFunction<? super O> distf) Constructor.

Method Summary

Methods

Modifier and Type	Method and Description
List<KNNResult<DoubleDistance>>	getKNNForBulkDBIDs(ArrayDBIDs ids, int k) Bulk query method
KNNResult<DoubleDistance>	getKNNForDBID(DBIDRef id, int k) Get the k nearest neighbors for a particular id.
KNNResult<DoubleDistance>	getKNNForObject(O q, int k) Get the k nearest neighbors for a particular id.

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

index

protected final AbstractMTree<O,DoubleDistance,?,?> index

The index to use

distf

protected PrimitiveDoubleDistanceFunction<? super O> distf

Distance function

Constructor Detail

DoubleDistanceMetricalIndexKNNQuery

public DoubleDistanceMetricalIndexKNNQuery(AbstractMTree<O,DoubleDistance,?,?> index,
                                   DistanceQuery<O,DoubleDistance> distanceQuery,
                                   PrimitiveDoubleDistanceFunction<? super O> distf)

Constructor.

Parameters:

index - Index to use

distanceQuery - Distance query used

distf - Distance function

Method Detail

getKNNForObject

public KNNResult<DoubleDistance> getKNNForObject(O q,
                                        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:

q - Query object

k - Number of neighbors requested

Returns:

neighbors

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>

Specified by:

getKNNForDBID in class AbstractDistanceKNNQuery<O,DoubleDistance>

Parameters:

id - query object ID

k - Number of neighbors requested

Returns:

neighbors

getKNNForBulkDBIDs

public List<KNNResult<DoubleDistance>> getKNNForBulkDBIDs(ArrayDBIDs ids,
                                                 int k)

Description copied from interface: KNNQuery

Bulk query method

Parameters:

ids - query object IDs

k - Number of neighbors requested

Returns:

neighbors