1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
|
package de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.query;
/*
This file is part of ELKI:
Environment for Developing KDD-Applications Supported by Index-Structures
Copyright (C) 2012
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 <http://www.gnu.org/licenses/>.
*/
import java.util.List;
import de.lmu.ifi.dbs.elki.database.ids.ArrayDBIDs;
import de.lmu.ifi.dbs.elki.database.ids.DBID;
import de.lmu.ifi.dbs.elki.database.query.DistanceResultPair;
import de.lmu.ifi.dbs.elki.database.query.distance.DistanceQuery;
import de.lmu.ifi.dbs.elki.database.query.rknn.AbstractRKNNQuery;
import de.lmu.ifi.dbs.elki.distance.distancevalue.Distance;
import de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.AbstractMkTree;
import de.lmu.ifi.dbs.elki.utilities.exceptions.AbortException;
import de.lmu.ifi.dbs.elki.utilities.exceptions.ExceptionMessages;
/**
* Instance of a rKNN query for a particular spatial index.
*
* @author Erich Schubert
*
* @apiviz.uses AbstractMkTree
*/
public class MkTreeRKNNQuery<O, D extends Distance<D>> extends AbstractRKNNQuery<O, D> {
/**
* The index to use
*/
protected final AbstractMkTree<O, D, ?, ?> index;
/**
* Constructor.
*
* @param index Index to use
* @param distanceQuery Distance query used
*/
public MkTreeRKNNQuery(AbstractMkTree<O, D, ?, ?> index, DistanceQuery<O, D> distanceQuery) {
super(distanceQuery);
this.index = index;
}
@Override
public List<DistanceResultPair<D>> getRKNNForObject(O obj, int k) {
throw new AbortException("Preprocessor KNN query only supports ID queries.");
}
@Override
public List<DistanceResultPair<D>> getRKNNForDBID(DBID id, int k) {
return index.reverseKNNQuery(id, k);
}
@Override
public List<List<DistanceResultPair<D>>> getRKNNForBulkDBIDs(ArrayDBIDs ids, int k) {
// TODO: implement
throw new UnsupportedOperationException(ExceptionMessages.UNSUPPORTED_NOT_YET);
}
}
|
