source: src/main/java/weka/attributeSelection/UnsupervisedSubsetEvaluator.java @ 20

Last change on this file since 20 was 4, checked in by gnappo, 14 years ago

Import di weka.

File size: 1.7 KB
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[4]1/*
2 *    This program is free software; you can redistribute it and/or modify
3 *    it under the terms of the GNU General Public License as published by
4 *    the Free Software Foundation; either version 2 of the License, or
5 *    (at your option) any later version.
6 *
7 *    This program is distributed in the hope that it will be useful,
8 *    but WITHOUT ANY WARRANTY; without even the implied warranty of
9 *    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
10 *    GNU General Public License for more details.
11 *
12 *    You should have received a copy of the GNU General Public License
13 *    along with this program; if not, write to the Free Software
14 *    Foundation, Inc., 675 Mass Ave, Cambridge, MA 02139, USA.
15 */
16
17/*
18 *    UnsupervisedSubsetEvaluator.java
19 *    Copyright (C) 1999 University of Waikato, Hamilton, New Zealand
20 *
21 */
22
23package weka.attributeSelection;
24
25import weka.clusterers.Clusterer;
26
27/**
28 * Abstract unsupervised attribute subset evaluator.
29 *
30 * @author Mark Hall (mhall@cs.waikato.ac.nz)
31 * @version $Revision: 1.10 $
32 */
33public abstract class UnsupervisedSubsetEvaluator 
34  extends ASEvaluation
35  implements SubsetEvaluator {
36
37  /** for serialization */
38  static final long serialVersionUID = 627934376267488763L;
39 
40  /**
41   * Return the number of clusters used by the subset evaluator
42   *
43   * @return the number of clusters used
44   * @exception Exception if an error occurs
45   */
46  public abstract int getNumClusters() throws Exception;
47
48  /**
49   * Get the clusterer
50   *
51   * @return the clusterer
52   */
53  public abstract Clusterer getClusterer();
54
55  /**
56   * Set the clusterer to use
57   *
58   * @param d the clusterer to use
59   */
60  public abstract void setClusterer(Clusterer d);
61}
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