gaussdistance.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 GaussDistance
                  
  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 GaussDistance_SOURCE
#define GaussDistance_SOURCE

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



// necessary includes
#include "GaussDistance.hpp"
#include "TransMatrix.hpp"

// data


// implementation
template < class ANALYSIS >
GaussDistance< ANALYSIS >::GaussDistance
  (
  Algorithm<ANALYSIS>* ap_alg
  )
  : mp_succ_alg(ap_alg)
  
  
  {
  
  }
template < class ANALYSIS >
GaussDistance< ANALYSIS >::~GaussDistance
  (
  )
  {
  FUNCLOG("~GaussDistance");
  
  delete mp_succ_alg;
  }
template < class ANALYSIS >
void
GaussDistance< ANALYSIS >::operator()
  (
  ANALYSIS& a_analysis
  )
  {
  FUNCLOG("GaussDistance");
  
    typename ANALYSIS::link_iter i_link(a_analysis.links().begin());
    static tuple_type diff;
    static tuple_type temp;
    static tuple_type single;
    diff.adjust(a_analysis.option().data_dimension(),1);
    temp.adjust(1,a_analysis.option().data_dimension());

    for (
        typename ANALYSIS::data_iter i_data(a_analysis.data().begin());
        i_data != a_analysis.data().end();
        ++i_data
        )
      {

      for (
          typename ANALYSIS::prot_iter i_prot(a_analysis.prototypes().begin());
          i_prot != a_analysis.prototypes().end();
          ++i_prot
          )
        {
        if ((*i_prot).m_type==CLUSTER_PROTOTYPE)
          {
          matrix_set_diff(diff,(*i_prot).center(),(*i_data).datum());
          matrix_set_product(temp,(*i_prot).normmatrix(),diff);
          matrix_set_product(single,transposed(diff),temp);
          if (single(0,0)>150)
            (*i_link).squared_distance() = 1E28*single(0,0);
          else 
            (*i_link).squared_distance() = sqrt((*i_prot).covdet())*
              exp(0.5*single(0,0))/(*i_prot).apriori();
          }
        ++i_link;
        }

      }
    invariant(i_link==a_analysis.links().end(),"link size");
    
    (*mp_succ_alg)(a_analysis);
  
  }

// template instantiation
template class GaussDistance<basic_analysis_type>;


#endif // GaussDistance_SOURCE