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

Interface KNNQuery<O,D extends Distance<D>>

Type Parameters:

O - Object type

D - Distance type

All Superinterfaces:

DatabaseQuery

All Known Implementing Classes:

AbstractDistanceKNNQuery, AbstractRefiningIndex.AbstractKNNQuery, DoubleDistanceMetricalIndexKNNQuery, DoubleDistanceRStarTreeKNNQuery, DoubleOptimizedDistanceKNNQuery, GenericRStarTreeKNNQuery, InMemoryLSHIndex.Instance.LSHKNNQuery, LinearScanDistanceKNNQuery, LinearScanPrimitiveDistanceKNNQuery, MetricalIndexKNNQuery, MinimalisticMemoryKDTree.KDTreeKNNQuery, PartialVAFile.PartialVAFileKNNQuery, PreprocessorKNNQuery, ProjectedIndex.ProjectedKNNQuery, VAFile.VAFileKNNQuery

public interface KNNQuery<O,D extends Distance<D>>
extends DatabaseQuery

The interface of an actual instance.

Field Summary

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

Method Summary

Methods

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

Method Detail

getKNNForDBID

KNNList<D> getKNNForDBID(DBIDRef id,
                       int k)

Get the k nearest neighbors for a particular id.

Parameters:

id - query object ID

k - Number of neighbors requested

Returns:

neighbors

getKNNForBulkDBIDs

List<? extends KNNList<D>> getKNNForBulkDBIDs(ArrayDBIDs ids,
                                            int k)

Bulk query method

Parameters:

ids - query object IDs

k - Number of neighbors requested

Returns:

neighbors

getKNNForObject

KNNList<D> getKNNForObject(O obj,
                         int k)

Get the k nearest neighbors for a particular id.

Parameters:

obj - Query object

k - Number of neighbors requested

Returns:

neighbors