selectfeatures.hpp

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   : header of class SelectFeatures
                  
  History       : see source file

  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_HEADER
#define SelectFeatures_HEADER

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



// necessary includes
#include "ddl.hpp"
#include "algorithm.hpp"
#include "Analysis.hpp"
#include "SelFeature.hpp"
//#define INLINE inline

// global types, constants, definitions


// class definition
template < class ANALYSIS >
class SelectFeatures
  : public OnePassAlgorithm<ANALYSIS>
  {
  
  public:
    typedef typename ANALYSIS::opt_type opt_type;
    typedef typename ANALYSIS::data_type data_type;
    typedef typename ANALYSIS::prot_type prot_type;
    typedef typename ANALYSIS::link_type link_type;

    typedef typename ANALYSIS::data_set_type data_set_type;
    typedef typename ANALYSIS::prot_set_type prot_set_type;
    typedef typename ANALYSIS::link_set_type link_set_type;

    typedef typename ANALYSIS::data_iter data_iter;
    typedef typename ANALYSIS::prot_iter prot_iter;
    typedef typename ANALYSIS::link_iter link_iter;
    typedef typename ANALYSIS::data_type basic_feature_type;
    typedef SelFeature<basic_feature_type> select_feature_type;
    typedef Analysis< typename ANALYSIS::opt_type,select_feature_type,
      typename ANALYSIS::prot_type,typename ANALYSIS::link_type > select_analysis_type;
    typedef select_analysis_type output_type;
    SelectFeatures(OnePassAlgorithm<output_type> *ap_alg);
    ~SelectFeatures();
    virtual void operator()(ANALYSIS&);
    virtual void operator()(ANALYSIS&,opt_type&);
    virtual void operator()(ANALYSIS&,data_type&);
    virtual void operator()(ANALYSIS&,prot_type&);
    virtual void operator()(ANALYSIS&,link_type&);
    inline bool element_wise() { return !m_emulated_elem_wise; }
    inline select_analysis_type& analysis() { return *mp_analysis; }
    
  protected:
    
    
    
  private:
    
    virtual void reset(ANALYSIS&);
    mutable select_analysis_type::data_set_type m_data_set;
    mutable typename ANALYSIS::data_set_type *mp_raw_data_set;
    OnePassAlgorithm<output_type>* mp_succ_alg;
    mutable int_matrix_type m_data_transform,m_res_transform;
    mutable select_analysis_type *mp_analysis;
    bool m_elem_funcs_called;
    bool m_emulated_elem_wise;
  };

// class related functions and definitions
template <class ALGORITHM>
inline SelectFeatures<basic_analysis_type>*
self(ALGORITHM* a)
  { return new SelectFeatures<basic_analysis_type>(a); }
inline NoOperation< SelectFeatures<basic_analysis_type>::select_analysis_type >*
select_nop()
  { return new NoOperation< SelectFeatures<basic_analysis_type>::select_analysis_type >; }

/* inline implementation */




#endif // SelectFeatures_HEADER