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:

InMemoryLSHIndex.Instance.LSHKNNQuery, 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
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

getKNNForBulkDBIDs, getKNNForDBID, 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

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