blob: 761837beaeb204def7a4b5adacf39aaed93f178f (
plain)
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
|
package de.lmu.ifi.dbs.elki.data.model;
/*
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 de.lmu.ifi.dbs.elki.data.FeatureVector;
import de.lmu.ifi.dbs.elki.result.textwriter.TextWriteable;
import de.lmu.ifi.dbs.elki.result.textwriter.TextWriterStream;
/**
* Cluster model that stores a mean for the cluster.
*
* @author Erich Schubert
*
* @param <V> Vector type
*/
public class MeanModel<V extends FeatureVector<V, ?>> extends BaseModel implements TextWriteable{
/**
* Cluster mean
*/
private V mean;
/**
* Constructor with mean
*
* @param mean Cluster mean
*/
public MeanModel(V mean) {
super();
this.mean = mean;
}
/**
* @return mean
*/
public V getMean() {
return mean;
}
/**
* @param mean Mean vector
*/
public void setMean(V mean) {
this.mean = mean;
}
/**
* Implementation of {@link TextWriteable} interface.
*/
@Override
public void writeToText(TextWriterStream out, String label) {
if(label != null) {
out.commentPrintLn(label);
}
out.commentPrintLn(TextWriterStream.SER_MARKER + " " + getClass().getName());
out.commentPrintLn("Cluster Mean: " + mean.toString());
}
}
|