partcoeff.cpp

模糊聚類分析源碼。包含教學文件

/*
  
  Context       : Fuzzy Clustering Algorithms

  Author        : Frank Hoeppner, see also AUTHORS file 

  Description   : implementation of class module PartCoeff
                  
  History       :
    

  Comment       : 
    This file was generated automatically. DO NOT EDIT.

  Copyright     : Copyright (C) 1999-2000 Frank Hoeppner

    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., 59 Temple Place, Suite 330, Boston, MA  02111-1307  USA
*/
/*
  The University of Applied Sciences Oldenburg/Ostfriesland/Wilhelmshaven
  hereby disclaims all copyright interests in the program package `fc' 
  (tool package for fuzzy cluster analysis) written by Frank Hoeppner.
  
  Prof. Haass, President of Vice, 2000-Mar-10
*/

#ifndef PartCoeff_SOURCE
#define PartCoeff_SOURCE

/* configuration include */
#ifdef HAVE_CONFIG_H
/*
//FILETREE_IFDEF HAVE_CONFIG_H
*/
#include "config.h"
/*
//FILETREE_ENDIF
*/
#endif



// necessary includes
#include "PartCoeff.hpp"

// data


// implementation
template < class ANALYSIS >
PartCoeff< ANALYSIS >::PartCoeff
  (
  Algorithm<ANALYSIS>* ap_alg
  )
  : mp_succ_alg(ap_alg)
  
  
  {
  
  }
template < class ANALYSIS >
PartCoeff< ANALYSIS >::~PartCoeff
  (
  )
  {
  FUNCLOG("~PartCoeff");
  
  delete mp_succ_alg;
  }
template < class ANALYSIS >
void
PartCoeff< ANALYSIS >::operator()
  (
  ANALYSIS& a_analysis
  )
  {
  FUNCLOG("PartCoeff");
  
  const int c(a_analysis.option().number_prototypes());
  const int n(a_analysis.option().number_features());
  const real_type m(a_analysis.option().fuzzifier());
  //const int dim(a_analysis.option().data_dimension());
  invariant(c>0,"non-empty prototype set",SOURCELOC);
  invariant(n>0,"non-empty data set",SOURCELOC);

  {
    trace("partition coefficient (PC)");

    real_type sum(0);
    for (
        typename ANALYSIS::link_iter i_link(a_analysis.links().begin());
        i_link != a_analysis.links().end();
        ++i_link
        )
      {
      sum += SQR((*i_link).membership());
      }
    a_analysis.option().partition_coefficient() = sum/n;
    a_analysis.option().validity_measure() = -sum/n;

    trace("partition coefficient",a_analysis.option().partition_coefficient());
  }
  (*mp_succ_alg)(a_analysis);
  
  }

// template instantiation



#endif // PartCoeff_SOURCE