flatfeature.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 FlatFeature
                  
  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 FlatFeature_HEADER
#define FlatFeature_HEADER

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



// necessary includes
#include "ddl.hpp"
#include "ustream-s.hpp"
#include "Analysis.hpp"
//#define INLINE inline

// global types, constants, definitions
#define KEYWORD_FEATURE "(datum"
#define KEYWORD_FEATURE_VECTOR "(vector"
#define KEYWORD_FEATURE_WEIGHT "(weight"
#define DEFAULT_FEATURE_WEIGHT 1
#define KEYWORD_FEATURE_RANGE "(range"
#define DEFAULT_FEATURE_NORANGE 0
#define KEYWORD_FEATURE_RESULT "(result"
#define KEYWORD_FEATURE_LINE "(line"
#define KEYWORD_FEATURE_HIERARCHY "(encloses"

// class definition
template <class FEATURE>
class FlatFeature
  
  {
  
  public:
    
    FlatFeature(FEATURE *ap_feature
                , const tree_analysis_type *ap_analysis
                , const tree_analysis_type::link_iter& ai_link);
    template <class PROT> void operator=(const PROT& a_prot)
      { datum().adjust(a_prot.center().rows(),a_prot.center().cols());
        matrix_set(datum(),a_prot.center());
        weight() = a_prot.total_pow_membxweight();
        start().adjust(a_prot.start().rows(),a_prot.start().cols());
        matrix_set(start(),a_prot.start());
        delta().adjust(a_prot.delta().rows(),a_prot.delta().cols());
        matrix_set(delta(),a_prot.delta()); }
    bool consistent(int&,int,int&) const;
    template <class ALGORITHM> void apply(ALGORITHM* ap_alg,int a_level,
      const FlatFeature* ap_prev=NULL,const FlatFeature* ap_father=NULL) const
      {   
      (*ap_alg)(*this,a_level,ap_prev,ap_father);
       
      }
    void self_include(bbox_type&,stat_type&) const;
    real_type select(const Selector&,const FlatFeature* p=NULL) const;
    void define(const Selector&,real_type);
    void read(istream&);
    void write(ostream&) const;
    inline const tuple_type& datum() const { return mp_feature->datum(); }
    inline tuple_type& datum() { return mp_feature->datum(); }
    void recalc_weight_factor(const Selector& a_selector) 
      { m_weight_factor = mp_analysis->select(a_selector,*mp_feature,0,0,0,mi_link); }
    inline real_type weight() const { return mp_feature->weight()*m_weight_factor; }
    inline tuple_type result() const { return mp_feature->result(); }
    inline tuple_type& result() { return mp_feature->result(); }
    inline const tuple_type& start() const { return mp_feature->start(); }
    inline tuple_type& start() { return mp_feature->start(); }
    inline const tuple_type& delta() const { return mp_feature->delta(); }
    inline tuple_type& delta() { return mp_feature->delta(); }
    inline const string& unrecognized() const { return mp_feature->unrecognized(); }
    inline string& unrecognized() { return mp_feature->unrecognized(); }
    
  protected:
    
    
    
  private:
    
    
    FEATURE *mp_feature;
    const tree_analysis_type *mp_analysis;
    const tree_analysis_type::link_iter mi_link;
    real_type m_weight_factor;
    
  };

// class related functions and definitions


/* inline implementation */

template <class FEATURE>
inline ostream& operator<<(ostream& os,const FlatFeature<FEATURE>& a_feature)
  { a_feature.write(os); return os; }
template <class FEATURE>
inline istream& operator>>(istream& is,FlatFeature<FEATURE>& a_feature)
  { a_feature.read(is); return is; }


#endif // FlatFeature_HEADER