centerinit.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 CenterInit
                  
  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 CenterInit_SOURCE
#define CenterInit_SOURCE

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



// necessary includes
#include "CenterInit.hpp"

// data


// implementation
template < class ANALYSIS >
CenterInit< ANALYSIS >::CenterInit
  (
  Algorithm<ANALYSIS>* ap_alg
  )
  : mp_succ_alg(ap_alg)
  , mp_stat_alg(stat(new NoOperation<ANALYSIS>))
  
  {
  
  }
template < class ANALYSIS >
CenterInit< ANALYSIS >::~CenterInit
  (
  )
  {
  FUNCLOG("~CenterInit");
  
  delete mp_succ_alg;
  }
template < class ANALYSIS >
void
CenterInit< ANALYSIS >::operator()
  (
  ANALYSIS& a_analysis
  )
  {
  FUNCLOG("CenterInit");
  
  int strategy((int)a_analysis.option().m_constants[0]);
  switch (strategy)
    {
    default : // first strategy is default strategy
    case 0 :
      {
        if (a_analysis.option().bbox_local().rows()==0) (*mp_stat_alg)(a_analysis);
        bbox_type data_bbox( a_analysis.option().bbox_local() );
        data_bbox.enlarge_percent(-10.0);

        tuple_type origin,delta;
        const int datadim(a_analysis.option().data_dimension());
        invariant(datadim>0,"data dimension > 0",SOURCELOC);
        origin.adjust(datadim);
        delta.adjust(datadim);
        matrix_set(origin,data_bbox.lowerBound);
        matrix_set_diff(delta,data_bbox.upperBound,data_bbox.lowerBound);
        matrix_scale(delta,1.0/(a_analysis.option().number_prototypes()+1));

        for (
            typename ANALYSIS::prot_iter i_prot(a_analysis.prototypes().begin());
            i_prot != a_analysis.prototypes().end();
            ++i_prot
            )
          {
          matrix_inc(origin,delta);
          matrix_set((*i_prot).center(),origin); 
          }
      }
      break;
    case 1 : 
      {
        typename ANALYSIS::data_iter i_data(a_analysis.data().begin());
        typename ANALYSIS::prot_iter i_test;
        bool ok;
        for (
            typename ANALYSIS::prot_iter i_prot(a_analysis.prototypes().begin());
            i_prot != a_analysis.prototypes().end();
            ++i_prot
            )
          {
          do 
            {
            matrix_set((*i_prot).center(), (*i_data).datum());
            ++i_data;
            ok = true;
            for (i_test=a_analysis.prototypes().begin();i_test!=i_prot;++i_test)
              {
              ok &= !matrix_numeric_equal((*i_test).center(),(*i_prot).center());
              }
            }
          while ((!ok) && (i_data!=a_analysis.data().end()));
          invariant(i_data!=a_analysis.data().end(),"insufficient data for init");
          }
      }
      break;
    case 2 : 
      {
        if (a_analysis.option().bbox().rows()==0) (*mp_stat_alg)(a_analysis);
        bbox_type data_bbox( a_analysis.option().bbox_local() );
        data_bbox.enlarge_percent(-10.0);

        typename ANALYSIS::prot_iter i_test;
        bool ok;
        for (
            typename ANALYSIS::prot_iter i_prot(a_analysis.prototypes().begin());
            i_prot != a_analysis.prototypes().end();
            ++i_prot
            )
          {
          do 
            {
            matrix_set((*i_prot).center(), data_bbox.random());
            ok = true;
            for (i_test=a_analysis.prototypes().begin();i_test!=i_prot;++i_test)
              {
              ok &= !matrix_numeric_equal((*i_test).center(),(*i_prot).center());
              }
            }
          while (!ok);
          }

      }
      break;
    }

  a_analysis.option().init()=FC_INIT_PROT;
  call_successor(mp_succ_alg,a_analysis,"cini");
  
  }

// template instantiation



#endif // CenterInit_SOURCE