protsetupdate.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 ProtSetUpdate
                  
  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 ProtSetUpdate_SOURCE
#define ProtSetUpdate_SOURCE

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



// necessary includes
#include "ProtSetUpdate.hpp"

// data


// implementation
template < class ANALYSIS >
ProtSetUpdate< ANALYSIS >::ProtSetUpdate
  (
  Algorithm<flat_analysis_type> *ap_clus_alg,
  Algorithm<ANALYSIS> *ap_alg
  )
  : mp_succ_alg(ap_alg)
  , mp_clus_alg(ap_clus_alg)
  , mp_flat_alg(flat(flat_nop()))
  
  {
  
  }
template < class ANALYSIS >
ProtSetUpdate< ANALYSIS >::~ProtSetUpdate
  (
  )
  {
  FUNCLOG("~ProtSetUpdate");
  
  delete mp_succ_alg;
  }
template < class ANALYSIS >
void
ProtSetUpdate< ANALYSIS >::operator()
  (
  ANALYSIS& a_analysis
  )
  {
  FUNCLOG("ProtSetUpdate");
  
  
  m_local_option = a_analysis.option();
  (*mp_flat_alg)(a_analysis);

  m_local_option.interim_output() = DEFAULT_OPTION_NOINTERIMOUT;
  if (m_local_option.max_iterations()<=0)
    m_local_option.max_iterations() = DEFAULT_OPTION_MAXITER; // full run
  m_local_option.number_features() = mp_flat_alg->analysis().option().number_features();
  if (m_local_option.data_depth()!=FC_DEPTH_ANY) 
    m_local_option.data_depth() -= 1;
  if (m_local_option.prot_depth()!=FC_DEPTH_ANY)
    m_local_option.prot_depth() -= 1;

  int p(0);
  for (
      typename ANALYSIS::prot_iter i_prot(a_analysis.prototypes().begin());
      i_prot != a_analysis.prototypes().end();
      ++i_prot
      )
    {

    flat_analysis_type flat_analysis(&m_local_option,&(mp_flat_alg->analysis().data()),&(*i_prot).hierarchy(),&m_flat_links);

    m_local_option.number_prototypes() = (*i_prot).hierarchy().size();
    adjust_set_size(m_flat_links,m_local_option.number_features()*
      m_local_option.number_prototypes());

    m_local_option.weight_factor() = Selector(SELECT_PMEM,p);
    for (flat_analysis_type::data_iter i_data(flat_analysis.data().begin());
      i_data != flat_analysis.data().end(); ++i_data)
      {
      (*i_data).recalc_weight_factor(m_local_option.weight_factor());
      }

    (*mp_clus_alg)(flat_analysis);

    // write local analysis into trace stream; use different analysis name
    // then the save tool divides them up correctly
    if (m_local_option.interim_output()!=DEFAULT_OPTION_NOINTERIMOUT)
      {
      m_local_option.analysis_name()  = a_analysis.option().analysis_name();
      m_local_option.analysis_name() += ".cluster";
      m_local_option.analysis_name() += p;
      run(ddlwrite(cout,flat_nop(),false),flat_analysis);
      }

    ++p;
    }

  (*mp_succ_alg)(a_analysis);
  
  }

// template instantiation



#endif // ProtSetUpdate_SOURCE