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> getRKNNForBulkDBIDs(ArrayDBIDs ids, int k); }