
O - Object typeD - Distance typepublic class MetricalIndexKNNQuery<O,D extends NumberDistance<D,?>> extends AbstractDistanceKNNQuery<O,D>
| Modifier and Type | Field and Description |
|---|---|
protected AbstractMTree<O,D,?,?,?> |
index
The index to use
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distanceQueryrelationHINT_BULK, HINT_EXACT, HINT_HEAVY_USE, HINT_NO_CACHE, HINT_OPTIMIZED_ONLY, HINT_SINGLE| Constructor and Description |
|---|
MetricalIndexKNNQuery(AbstractMTree<O,D,?,?,?> index,
DistanceQuery<O,D> distanceQuery)
Constructor.
|
| Modifier and Type | Method and Description |
|---|---|
KNNList<D> |
getKNNForObject(O q,
int k)
Get the k nearest neighbors for a particular id.
|
getKNNForBulkDBIDs, getKNNForDBIDgetRelationprotected final AbstractMTree<O,D extends NumberDistance<D,?>,?,?,?> index
public MetricalIndexKNNQuery(AbstractMTree<O,D,?,?,?> index, DistanceQuery<O,D> distanceQuery)
index - Index to usedistanceQuery - Distance query usedpublic KNNList<D> getKNNForObject(O q, int k)
KNNQuerygetKNNForObject in interface KNNQuery<O,D extends NumberDistance<D,?>>getKNNForObject in class AbstractDistanceKNNQuery<O,D extends NumberDistance<D,?>>q - Query objectk - Number of neighbors requested