de.lmu.ifi.dbs.elki.index

Class AbstractRefiningIndex.AbstractKNNQuery<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.AbstractRefiningIndex.AbstractKNNQuery<D>

All Implemented Interfaces:

DatabaseQuery, KNNQuery<O,D>

Direct Known Subclasses:

PartialVAFile.PartialVAFileKNNQuery, VAFile.VAFileKNNQuery

Enclosing class:

AbstractRefiningIndex<O>

public abstract class AbstractRefiningIndex.AbstractKNNQuery<D extends Distance<D>>
extends AbstractDistanceKNNQuery<O,D>

KNN query for this index.

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
AbstractRefiningIndex.AbstractKNNQuery(DistanceQuery<O,D> distanceQuery) Constructor.

Method Summary

Methods

Modifier and Type	Method and Description
List<KNNResult<D>>	getKNNForBulkDBIDs(ArrayDBIDs ids, int k) Bulk query method
void	getKNNForBulkHeaps(Map<DBID,KNNHeap<D>> heaps) Bulk query method configured by a map.
KNNResult<D>	getKNNForDBID(DBIDRef id, int k) Get the k nearest neighbors for a particular id.
protected void	incRefinements(int c) Count extra refinements.
protected D	refine(DBID id, O q) Refinement distance computation.

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

getKNNForObject

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

AbstractRefiningIndex.AbstractKNNQuery

public AbstractRefiningIndex.AbstractKNNQuery(DistanceQuery<O,D> distanceQuery)

Constructor.

Parameters:

distanceQuery - Distance query object

Method Detail

getKNNForBulkDBIDs

public List<KNNResult<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.

getKNNForDBID

public KNNResult<D> 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,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

refine

protected D refine(DBID id,
       O q)

Refinement distance computation.

Parameters:

id - Candidate ID

q - Query object

Returns:

Distance

incRefinements

protected void incRefinements(int c)

Count extra refinements.

Parameters:

c - Refinements