package de.lmu.ifi.dbs.elki.database.query.rknn;
/*
This file is part of ELKI:
Environment for Developing KDD-Applications Supported by Index-Structures
Copyright (C) 2013
Ludwig-Maximilians-Universität München
Lehr- und Forschungseinheit für Datenbanksysteme
ELKI Development Team
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU Affero General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU Affero General Public License for more details.
You should have received a copy of the GNU Affero General Public License
along with this program. If not, see .
*/
import java.util.List;
import de.lmu.ifi.dbs.elki.database.ids.ArrayDBIDs;
import de.lmu.ifi.dbs.elki.database.ids.DBIDRef;
import de.lmu.ifi.dbs.elki.database.ids.distance.DistanceDBIDList;
import de.lmu.ifi.dbs.elki.database.query.DatabaseQuery;
import de.lmu.ifi.dbs.elki.distance.distancevalue.Distance;
/**
* Abstract reverse kNN Query interface.
*
* @author Erich Schubert
*
* @apiviz.uses DistanceDBIDList oneway - - «create»
*
* @param Object type
* @param Distance type
*/
public interface RKNNQuery> extends DatabaseQuery {
/**
* Get the reverse k nearest neighbors for a particular id.
*
* @param id query object ID
* @param k number of neighbors requested
* @return reverse k nearest neighbors
*/
public DistanceDBIDList getRKNNForDBID(DBIDRef id, int k);
/**
* Get the reverse k nearest neighbors for a particular object.
*
* @param obj query object instance
* @param k number of neighbors requested
* @return reverse k nearest neighbors
*/
public DistanceDBIDList getRKNNForObject(O obj, int k);
/**
* Bulk query method for reverse k nearest neighbors for ids.
*
* @param ids query object IDs
* @param k number of neighbors requested
* @return reverse k nearest neighbors
*/
public List extends DistanceDBIDList> getRKNNForBulkDBIDs(ArrayDBIDs ids, int k);
}