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
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
|
package de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood;
/*
This file is part of ELKI:
Environment for Developing KDD-Applications Supported by Index-Structures
Copyright (C) 2014
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 de.lmu.ifi.dbs.elki.data.type.TypeInformation;
import de.lmu.ifi.dbs.elki.database.QueryUtil;
import de.lmu.ifi.dbs.elki.database.datastore.DataStore;
import de.lmu.ifi.dbs.elki.database.datastore.DataStoreFactory;
import de.lmu.ifi.dbs.elki.database.datastore.DataStoreUtil;
import de.lmu.ifi.dbs.elki.database.datastore.WritableDataStore;
import de.lmu.ifi.dbs.elki.database.ids.ArrayModifiableDBIDs;
import de.lmu.ifi.dbs.elki.database.ids.DBIDIter;
import de.lmu.ifi.dbs.elki.database.ids.DBIDUtil;
import de.lmu.ifi.dbs.elki.database.ids.DBIDs;
import de.lmu.ifi.dbs.elki.database.ids.KNNList;
import de.lmu.ifi.dbs.elki.database.query.knn.KNNQuery;
import de.lmu.ifi.dbs.elki.database.relation.Relation;
import de.lmu.ifi.dbs.elki.distance.distancefunction.DistanceFunction;
import de.lmu.ifi.dbs.elki.logging.Logging;
import de.lmu.ifi.dbs.elki.utilities.optionhandling.AbstractParameterizer;
import de.lmu.ifi.dbs.elki.utilities.optionhandling.OptionID;
import de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.Parameterization;
import de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.IntParameter;
import de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.ObjectParameter;
/**
* Neighborhoods based on k nearest neighbors.
*
* @author Ahmed Hettab
*/
public class PrecomputedKNearestNeighborNeighborhood extends AbstractPrecomputedNeighborhood {
/**
* Logger
*/
private static final Logging LOG = Logging.getLogger(PrecomputedKNearestNeighborNeighborhood.class);
/**
* Constructor.
*
* @param store Store to access
*/
public PrecomputedKNearestNeighborNeighborhood(DataStore<DBIDs> store) {
super(store);
}
@Override
public String getLongName() {
return "K Nearest Neighbors Neighborhood";
}
@Override
public String getShortName() {
return "knn-neighborhood";
}
@Override
protected Logging getLogger() {
return LOG;
}
/**
* Factory class to instantiate for a particular relation.
*
* @author Ahmed Hettab
*
* @apiviz.stereotype factory
* @apiviz.has PrecomputedKNearestNeighborNeighborhood
*
* @param <O> Object type
*/
public static class Factory<O> implements NeighborSetPredicate.Factory<O> {
/**
* parameter k
*/
private int k;
/**
* distance function to use
*/
private DistanceFunction<? super O> distFunc;
/**
* Factory Constructor
*/
public Factory(int k, DistanceFunction<? super O> distFunc) {
super();
this.k = k;
this.distFunc = distFunc;
}
@Override
public NeighborSetPredicate instantiate(Relation<? extends O> relation) {
KNNQuery<?> knnQuery = QueryUtil.getKNNQuery(relation, distFunc);
// TODO: use bulk?
WritableDataStore<DBIDs> s = DataStoreUtil.makeStorage(relation.getDBIDs(), DataStoreFactory.HINT_HOT | DataStoreFactory.HINT_STATIC, DBIDs.class);
for(DBIDIter iditer = relation.iterDBIDs(); iditer.valid(); iditer.advance()) {
KNNList neighbors = knnQuery.getKNNForDBID(iditer, k);
ArrayModifiableDBIDs neighbours = DBIDUtil.newArray(neighbors.size());
for(DBIDIter neighbor = neighbors.iter(); neighbor.valid(); neighbor.advance()) {
neighbours.add(neighbor);
}
s.put(iditer, neighbours);
}
return new PrecomputedKNearestNeighborNeighborhood(s);
}
@Override
public TypeInformation getInputTypeRestriction() {
return distFunc.getInputTypeRestriction();
}
/**
* Parameterization class
*
* @author Erich Schubert
*
* @apiviz.exclude
*
* @param <O> Object type
*/
public static class Parameterizer<O> extends AbstractParameterizer {
/**
* Parameter k
*/
public static final OptionID K_ID = new OptionID("neighborhood.k", "the number of neighbors");
/**
* Parameter to specify the distance function to use
*/
public static final OptionID DISTANCEFUNCTION_ID = new OptionID("neighborhood.distancefunction", "the distance function to use");
/**
* Parameter k
*/
int k;
/**
* Distance function
*/
DistanceFunction<? super O> distFunc;
@Override
protected void makeOptions(Parameterization config) {
super.makeOptions(config);
final IntParameter kP = new IntParameter(K_ID);
if(config.grab(kP)) {
k = kP.getValue();
}
final ObjectParameter<DistanceFunction<? super O>> distP = new ObjectParameter<>(DISTANCEFUNCTION_ID, DistanceFunction.class);
if(config.grab(distP)) {
distFunc = distP.instantiateClass(config);
}
}
@Override
protected PrecomputedKNearestNeighborNeighborhood.Factory<O> makeInstance() {
return new PrecomputedKNearestNeighborNeighborhood.Factory<>(k, distFunc);
}
}
}
}
|