content: /*
   *    This program is free software; you can redistribute it and/or modify
   *    it under the terms of the GNU General Public License as published by
   *    the Free Software Foundation; either version 2 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 General Public License for more details.
   *
   *    You should have received a copy of the GNU General Public License
   *    along with this program; if not, write to the Free Software
   *    Foundation, Inc., 675 Mass Ave, Cambridge, MA 02139, USA.
   */
  
  /*
   *    UnsupervisedSubsetEvaluator.java
   *    Copyright (C) 1999 University of Waikato, Hamilton, New Zealand
   *
   */
  
  package weka.attributeSelection;
  
  import weka.clusterers.Clusterer;
  
  /** 
   * Abstract unsupervised attribute subset evaluator.
   *
   * @author Mark Hall (mhall@cs.waikato.ac.nz)
   * @version $Revision: 1.10 $
   */
  public abstract class UnsupervisedSubsetEvaluator 
    extends ASEvaluation
    implements SubsetEvaluator {
  
    /** for serialization */
    static final long serialVersionUID = 627934376267488763L;
    
    /**
     * Return the number of clusters used by the subset evaluator
     *
     * @return the number of clusters used
     * @exception Exception if an error occurs
     */
    public abstract int getNumClusters() throws Exception;
  
    /**
     * Get the clusterer
     *
     * @return the clusterer
     */
    public abstract Clusterer getClusterer();
  
    /**
     * Set the clusterer to use
     *
     * @param d the clusterer to use
     */
    public abstract void setClusterer(Clusterer d);
  }
  