selectfeatures.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 SelectFeatures
                  
  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 SelectFeatures_SOURCE
#define SelectFeatures_SOURCE

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



// necessary includes
#include "SelectFeatures.hpp"

// data


// implementation
template < class ANALYSIS >
SelectFeatures< ANALYSIS >::SelectFeatures
  (
  OnePassAlgorithm<output_type> *ap_alg
  )
  : mp_succ_alg(ap_alg)
  , mp_analysis(NULL)
  , m_elem_funcs_called(false)
  , m_emulated_elem_wise(false)
  {
  
  }
template < class ANALYSIS >
SelectFeatures< ANALYSIS >::~SelectFeatures
  (
  )
  {
  FUNCLOG("~SelectFeatures");
  
  delete mp_succ_alg;
  }
template < class ANALYSIS >
void
SelectFeatures< ANALYSIS >::operator()
  (
  ANALYSIS& a_analysis
  )
  {
  FUNCLOG("SelectFeatures");
  if (!m_elem_funcs_called)
    {
    m_emulated_elem_wise = true;
    operator()(a_analysis,a_analysis.option());
    for (
        typename ANALYSIS::data_iter i_data(a_analysis.data().begin());
        i_data != a_analysis.data().end();
        ++i_data
        )
      { operator()(a_analysis,*i_data); }
    for (
        typename ANALYSIS::prot_iter i_prot(a_analysis.prototypes().begin());
        i_prot != a_analysis.prototypes().end();
        ++i_prot
        )
      { operator()(a_analysis,*i_prot); }
    for (
        typename ANALYSIS::link_iter i_link(a_analysis.links().begin());
        i_link != a_analysis.links().end();
        ++i_link
        )
      { operator()(a_analysis,*i_link); }
    }
  invariant(mp_analysis!=NULL,"analysis instantiated before",SOURCELOC);
  (*mp_succ_alg)(*mp_analysis);
  m_elem_funcs_called=false;
  m_emulated_elem_wise=false;
  }
template < class ANALYSIS >
void
SelectFeatures< ANALYSIS >::operator()
  (
  ANALYSIS& a_analysis,
  SelectFeatures< ANALYSIS >::opt_type& a_option
  )
  {
  FUNCLOG("SelectFeatures::operator(opt)");
  if (!m_elem_funcs_called) reset(a_analysis);
  m_data_transform = a_option.data_transform();
  m_res_transform = a_option.res_transform();
  matrix_inc_scalar(m_data_transform,-1);
  matrix_inc_scalar(m_res_transform,-1);

  // delete transformation after application
  a_option.data_transform().adjust(0,0);
  a_option.res_transform().adjust(0,0);
  if (m_data_transform.rows()!=0) // not identity
    a_option.data_dimension() = m_data_transform.rows();
  //a_option.output_dimension() = m_res_transform.rows();
  // output dim not yet defined

  (*mp_succ_alg)(*mp_analysis,a_option);
  }
template < class ANALYSIS >
void
SelectFeatures< ANALYSIS >::operator()
  (
  ANALYSIS& a_analysis,
  SelectFeatures< ANALYSIS >::data_type& a_datum
  )
  {
  FUNCLOG("SelectFeatures::operator(data)");
  if (!m_elem_funcs_called) reset(a_analysis);
  typename ANALYSIS::data_type *mp_datum;
  if (element_wise())
    {
    mp_datum = &(*(mp_raw_data_set->insert(mp_raw_data_set->end(),a_datum)));
    }
  else
    {
    mp_datum = &a_datum;
    }
  select_feature_type feature(mp_datum,m_data_transform,m_res_transform);
  (*mp_succ_alg)(*mp_analysis,feature);
  }
template < class ANALYSIS >
void
SelectFeatures< ANALYSIS >::operator()
  (
  ANALYSIS& a_analysis,
  SelectFeatures< ANALYSIS >::prot_type& a_prototype
  )
  {
  FUNCLOG("SelectFeatures::operator(prot)");
  if (!m_elem_funcs_called) reset(a_analysis);
  typename ANALYSIS::prot_type blank_prototype;
  (*mp_succ_alg)(*mp_analysis,blank_prototype);
  }
template < class ANALYSIS >
void
SelectFeatures< ANALYSIS >::operator()
  (
  ANALYSIS& a_analysis,
  SelectFeatures< ANALYSIS >::link_type& a_link
  )
  {
  FUNCLOG("SelectFeatures::operator(link)");
  if (!m_elem_funcs_called) reset(a_analysis);
  (*mp_succ_alg)(*mp_analysis,a_link);
  }
template < class ANALYSIS >
void
SelectFeatures< ANALYSIS >::reset
  (
  ANALYSIS& a_analysis
  )
  {
  FUNCLOG("SelectFeatures::reset");
  if (mp_analysis!=NULL) delete mp_analysis;
  mp_raw_data_set = &(a_analysis.data());
  m_data_set.clear();
  mp_analysis = new select_analysis_type(
    &a_analysis.option(),&m_data_set,&a_analysis.prototypes(),&a_analysis.links()  );
  m_elem_funcs_called=true;
  }

// template instantiation



#endif // SelectFeatures_SOURCE