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📄 protsetdistance.cpp

📁 模糊聚類分析源碼。包含教學文件
💻 CPP
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/*    Context       : Fuzzy Clustering Algorithms  Author        : Frank Hoeppner, see also AUTHORS file   Description   : implementation of class module ProtSetDistance                    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 ProtSetDistance_SOURCE#define ProtSetDistance_SOURCE/* configuration include */#ifdef HAVE_CONFIG_H/*//FILETREE_IFDEF HAVE_CONFIG_H*/#include "config.h"/*//FILETREE_ENDIF*/#endif// necessary includes#include "ProtSetDistance.hpp"// data// implementationtemplate < class ANALYSIS >ProtSetDistance< ANALYSIS >::ProtSetDistance  (  Algorithm<ANALYSIS> *ap_clus_alg,  Algorithm<ANALYSIS> *ap_alg  )  : mp_succ_alg(ap_alg)  , mp_clus_alg(ap_clus_alg)    {    }template < class ANALYSIS >ProtSetDistance< ANALYSIS >::~ProtSetDistance  (  )  {  FUNCLOG("~ProtSetDistance");    delete mp_succ_alg;  }template < class ANALYSIS >voidProtSetDistance< ANALYSIS >::operator()  (  ANALYSIS& a_analysis  )  {  FUNCLOG("ProtSetDistance");    link_iter i_link(a_analysis.links().begin());  link_iter i_local_link;  m_local_option = a_analysis.option();  m_local_option.max_iterations() = 0;  // clus_alg is used to define distance, turn off unsupervised mode (if any)  m_local_option.unsupervised() = false;  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;  for (      typename ANALYSIS::data_iter i_data(a_analysis.data().begin());      i_data != a_analysis.data().end();      ++i_data      )    {    m_local_option.number_features()=(*i_data).hierarchy().size();    for (        typename ANALYSIS::prot_iter i_prot(a_analysis.prototypes().begin());        i_prot != a_analysis.prototypes().end();        ++i_prot        )      {      m_local_option.number_prototypes() = (*i_prot).hierarchy().size();      adjust_set_size(m_local_links,m_local_option.number_prototypes()*        m_local_option.number_features());      ANALYSIS sub_analysis(&m_local_option,&(*i_data).hierarchy(),        &(*i_prot).hierarchy(),&m_local_links);      (*mp_clus_alg)(sub_analysis);             // calculate objective function value      i_local_link = m_local_links.begin();      real_type d(0);      for (int j=0;j<m_local_option.number_features();++j)        for (int i=0;i<m_local_option.number_prototypes();++i)          {          d += (*i_local_link).pow_membxweight() // m_membership             * (*i_local_link).squared_distance();          ++i_local_link;          }      invariant(i_local_link==m_local_links.end(),"local link match",SOURCELOC);      // obj-func becomes distance      (*i_link).squared_distance() = d;      ++i_link;      }    }  invariant(i_link==a_analysis.links().end(),"link size match",SOURCELOC);  (*mp_succ_alg)(a_analysis);    }// template instantiation#endif // ProtSetDistance_SOURCE

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