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

Class MetricalIndexKNNQuery<O,D extends Distance<D>>

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.index.tree.metrical.mtreevariants.query.MetricalIndexKNNQuery<O,D>

Type Parameters:

O - Object type

D - Distance type

All Implemented Interfaces:

DatabaseQuery, KNNQuery<O,D>

public class MetricalIndexKNNQuery<O,D extends Distance<D>>
extends AbstractDistanceKNNQuery<O,D>

Instance of a KNN query for a particular spatial index.

Field Summary

Fields

Modifier and Type	Field and Description
protected AbstractMTree<O,D,?,?>	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
MetricalIndexKNNQuery(AbstractMTree<O,D,?,?> index, DistanceQuery<O,D> distanceQuery) Constructor.

Method Summary

Methods

Modifier and Type	Method and Description
protected void	doKNNQuery(O q, KNNHeap<D> knnList) Performs a k-nearest neighbor query for the given FeatureVector with the given parameter k and the according distance function.
List<List<DistanceResultPair<D>>>	getKNNForBulkDBIDs(ArrayDBIDs ids, int k) Bulk query method
void	getKNNForBulkHeaps(Map<DBID,KNNHeap<D>> heaps) Bulk query method configured by a map.
List<DistanceResultPair<D>>	getKNNForDBID(DBID id, int k) Get the k nearest neighbors for a particular id.
List<DistanceResultPair<D>>	getKNNForObject(O obj, int k) Get the k nearest neighbors for a particular id.

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

getDistanceFactory, getDistanceQuery

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

Methods inherited from interface de.lmu.ifi.dbs.elki.database.query.knn.KNNQuery

getRelation

Field Detail

index

protected final AbstractMTree<O,D extends Distance<D>,?,?> index

The index to use

Constructor Detail

MetricalIndexKNNQuery

public MetricalIndexKNNQuery(AbstractMTree<O,D,?,?> index,
                     DistanceQuery<O,D> distanceQuery)

Constructor.

Parameters:

index - Index to use

distanceQuery - Distance query used

Method Detail

doKNNQuery

protected final void doKNNQuery(O q,
              KNNHeap<D> knnList)

Performs a k-nearest neighbor query for the given FeatureVector with the given parameter k and the according distance function. The query result is in ascending order to the distance to the query object.

Parameters:

q - the id of the query object

knnList - the query result list

getKNNForObject

public List<DistanceResultPair<D>> 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,D extends Distance<D>>

Specified by:

getKNNForObject in class AbstractDistanceKNNQuery<O,D extends Distance<D>>

Parameters:

obj - Query object

k - Number of neighbors requested

Returns:

neighbors

getKNNForDBID

public List<DistanceResultPair<D>> getKNNForDBID(DBID id,
                                        int k)

Description copied from interface: KNNQuery

Get the k nearest neighbors for a particular id.

Specified by:

getKNNForDBID in interface KNNQuery<O,D extends Distance<D>>

Specified by:

getKNNForDBID in class AbstractDistanceKNNQuery<O,D extends Distance<D>>

Parameters:

id - query object ID

k - Number of neighbors requested

Returns:

neighbors

getKNNForBulkDBIDs

public List<List<DistanceResultPair<D>>> 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

getKNNForBulkHeaps

public void getKNNForBulkHeaps(Map<DBID,KNNHeap<D>> heaps)

Description copied from interface: KNNQuery

Bulk query method configured by a map. Warning: this API is not optimal, and might be removed soon (in fact, it is used in a single place)

Parameters:

heaps - Map of heaps to fill.