summaryrefslogtreecommitdiff
path: root/src/de/lmu/ifi/dbs/elki/math/linearalgebra/SubspaceProjectionResult.java
blob: 4e03bc78a8f10377b6c67f5dbe4c3d0b7b1dd82b (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
package de.lmu.ifi.dbs.elki.math.linearalgebra;

/*
 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 <http://www.gnu.org/licenses/>.
 */


/**
 * Simple class wrapping the result of a subspace projection.
 * 
 * @author Erich Schubert
 * 
 * @apiviz.composedOf Matrix
 */
public class SubspaceProjectionResult implements ProjectionResult {
  /**
   * The correlation dimensionality
   */
  private int correlationDimensionality;
  
  /**
   * The similarity matrix
   */
  private Matrix similarityMat;
  
  /**
   * Constructor.
   * 
   * @param correlationDimensionality dimensionality
   * @param similarityMat projection matrix
   */
  public SubspaceProjectionResult(int correlationDimensionality, Matrix similarityMat) {
    super();
    this.correlationDimensionality = correlationDimensionality;
    this.similarityMat = similarityMat;
  }

  @Override
  public int getCorrelationDimension() {
    return correlationDimensionality;
  }

  @Override
  public Matrix similarityMatrix() {
    return similarityMat;
  }
}