source: trunk/CrossPare/src/de/ugoe/cs/cpdp/dataprocessing/Normalization.java @ 83

Last change on this file since 83 was 51, checked in by sherbold, 9 years ago
  • refactored existing normalization approaches into common util class
  • added zScoreTraining normalization after Nam et al.
  • added TCAPlus normalization selection after Nam et al.
  • Property svn:mime-type set to text/plain
File size: 1.9 KB
Line 
1// Copyright 2015 Georg-August-Universität Göttingen, Germany
2//
3//   Licensed under the Apache License, Version 2.0 (the "License");
4//   you may not use this file except in compliance with the License.
5//   You may obtain a copy of the License at
6//
7//       http://www.apache.org/licenses/LICENSE-2.0
8//
9//   Unless required by applicable law or agreed to in writing, software
10//   distributed under the License is distributed on an "AS IS" BASIS,
11//   WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
12//   See the License for the specific language governing permissions and
13//   limitations under the License.
14
15package de.ugoe.cs.cpdp.dataprocessing;
16
17import org.apache.commons.collections4.list.SetUniqueList;
18
19import weka.core.Instances;
20
21/**
22 * Normalizes each attribute of each data set separately.
23 *
24 * @author Steffen Herbold
25 */
26public class Normalization implements ISetWiseProcessingStrategy, IProcessesingStrategy {
27
28    /**
29     * @see de.ugoe.cs.cpdp.dataprocessing.SetWiseProcessingStrategy#apply(weka.core.Instances,
30     *      org.apache.commons.collections4.list.SetUniqueList)
31     */
32    @Override
33    public void apply(Instances testdata, SetUniqueList<Instances> traindataSet) {
34        NormalizationUtil.minMax(testdata);
35        for (Instances instances : traindataSet) {
36            NormalizationUtil.minMax(instances);
37        }
38    }
39
40    /**
41     * @see de.ugoe.cs.cpdp.dataprocessing.ProcessesingStrategy#apply(weka.core.Instances,
42     *      weka.core.Instances)
43     */
44    @Override
45    public void apply(Instances testdata, Instances traindata) {
46        NormalizationUtil.minMax(testdata);
47        NormalizationUtil.minMax(traindata);
48    }
49
50    /**
51     * Does not have parameters. String is ignored.
52     *
53     * @param parameters
54     *            ignored
55     */
56    @Override
57    public void setParameter(String parameters) {
58        // no parameters
59    }
60}
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