lineinit.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 LineInit
                  
  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 LineInit_SOURCE
#define LineInit_SOURCE

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



// necessary includes
#include "LineInit.hpp"

// data


// implementation
template < class ANALYSIS >
LineInit< ANALYSIS >::LineInit
  (
  Algorithm<ANALYSIS>* ap_alg
  )
  : mp_succ_alg(ap_alg)
  , mp_stat_alg(stat(new NoOperation<ANALYSIS>))
  
  {
  
  }
template < class ANALYSIS >
LineInit< ANALYSIS >::~LineInit
  (
  )
  {
  FUNCLOG("~LineInit");
  
  delete mp_succ_alg;
  }
template < class ANALYSIS >
void
LineInit< ANALYSIS >::operator()
  (
  ANALYSIS& a_analysis
  )
  {
  FUNCLOG("LineInit");
  
  if (a_analysis.option().bbox().rows()==0) (*mp_stat_alg)(a_analysis);
  bbox_type data_bbox( a_analysis.option().bbox_local() );

  const int p(a_analysis.option().data_dimension());
  invariant(p==2,"assume data dim 2",SOURCELOC);
  const int c(a_analysis.option().number_prototypes());
  invariant(c>0,"assume prototypes",SOURCELOC);
  const real_type delta(data_bbox.length(AXIS_X)/c);
  real_type start(data_bbox.minimum(AXIS_X));
  real_type ymean(data_bbox.mean(AXIS_Y));

  for (
      typename ANALYSIS::prot_iter i_prot(a_analysis.prototypes().begin());
      i_prot != a_analysis.prototypes().end();
      ++i_prot
      )
    {
    if ((*i_prot).center().rows()>=1)
      { 
      (*i_prot).center()[AXIS_X]=start+delta/2.0; 
      }

    if ((*i_prot).coefficient().rows()>=2)
      {
      (*i_prot).coefficient()[AXIS_X]=ymean;
      (*i_prot).coefficient()[AXIS_Y]=0;
      }

    if ((*i_prot).start().rows()>=2)
      {
      (*i_prot).start()[AXIS_X]=start;
      (*i_prot).start()[AXIS_Y]=ymean;
      }

    if ((*i_prot).delta().rows()>=2)
      {
      (*i_prot).delta()[AXIS_X]=delta;
      (*i_prot).delta()[AXIS_Y]=0;
      }

    start += delta;
    }

  trace("prototypes",a_analysis.prototypes());

  a_analysis.option().init()=FC_INIT_PROT;
  (*mp_succ_alg)(a_analysis);
  
  }

// template instantiation



#endif // LineInit_SOURCE