
public class MkTreeRKNNQuery<O,D extends Distance<D>> extends AbstractRKNNQuery<O,D>
| Modifier and Type | Field and Description |
|---|---|
protected AbstractMkTree<O,D,?,?> |
index
The index to use
|
distanceQueryrelationHINT_BULK, HINT_EXACT, HINT_HEAVY_USE, HINT_NO_CACHE, HINT_OPTIMIZED_ONLY, HINT_SINGLE| Constructor and Description |
|---|
MkTreeRKNNQuery(AbstractMkTree<O,D,?,?> index,
DistanceQuery<O,D> distanceQuery)
Constructor.
|
| Modifier and Type | Method and Description |
|---|---|
List<List<DistanceResultPair<D>>> |
getRKNNForBulkDBIDs(ArrayDBIDs ids,
int k)
Bulk query method for reverse k nearest neighbors for ids.
|
List<DistanceResultPair<D>> |
getRKNNForDBID(DBID id,
int k)
Get the reverse k nearest neighbors for a particular id.
|
List<DistanceResultPair<D>> |
getRKNNForObject(O obj,
int k)
Get the reverse k nearest neighbors for a particular object.
|
getDistanceFactorygetRelationclone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, waitgetRelationprotected final AbstractMkTree<O,D extends Distance<D>,?,?> index
public MkTreeRKNNQuery(AbstractMkTree<O,D,?,?> index, DistanceQuery<O,D> distanceQuery)
index - Index to usedistanceQuery - Distance query usedpublic List<DistanceResultPair<D>> getRKNNForObject(O obj, int k)
RKNNQueryobj - query object instancek - number of neighbors requestedpublic List<DistanceResultPair<D>> getRKNNForDBID(DBID id, int k)
RKNNQuerygetRKNNForDBID in interface RKNNQuery<O,D extends Distance<D>>getRKNNForDBID in class AbstractRKNNQuery<O,D extends Distance<D>>id - query object IDk - number of neighbors requestedpublic List<List<DistanceResultPair<D>>> getRKNNForBulkDBIDs(ArrayDBIDs ids, int k)
RKNNQueryids - query object IDsk - number of neighbors requested