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📄 flattenhierarchy.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 FlattenHierarchy                    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 FlattenHierarchy_SOURCE#define FlattenHierarchy_SOURCE/* configuration include */#ifdef HAVE_CONFIG_H/*//FILETREE_IFDEF HAVE_CONFIG_H*/#include "config.h"/*//FILETREE_ENDIF*/#endif// necessary includes#include "FlattenHierarchy.hpp"// data// implementationtemplate < class ANALYSIS >FlattenHierarchy< ANALYSIS >::FlattenHierarchy  (  Algorithm<output_type> *ap_alg  )  : mp_succ_alg(ap_alg)  , mp_analysis(NULL)    {    }template < class ANALYSIS >FlattenHierarchy< ANALYSIS >::~FlattenHierarchy  (  )  {  FUNCLOG("~FlattenHierarchy");    delete mp_succ_alg;  }template < class ANALYSIS >voidFlattenHierarchy< ANALYSIS >::operator()  (  ANALYSIS& a_analysis  )  {  FUNCLOG("FlattenHierarchy");    const int c(a_analysis.option().number_prototypes());  if (mp_analysis!=NULL) delete mp_analysis;  mp_analysis = new flat_analysis_type(    &m_option,&m_data_set,&m_prot_set,&a_analysis.links()  );  m_option=a_analysis.option();  m_data_set.clear();  m_prot_set.clear();  typename ANALYSIS::link_iter i_link(a_analysis.links().begin());;  for (      typename ANALYSIS::data_iter i_data(a_analysis.data().begin());      i_data != a_analysis.data().end();      ++i_data      )    {     if ((*i_data).datum().rows()>0)      {      flat_feature_type feature(&(*i_data),&a_analysis,i_link);      m_data_set.push_back(feature);      }    for (        typename ANALYSIS::data_iter i_encl_data( (*i_data).hierarchy().begin());        i_encl_data != (*i_data).hierarchy().end();        ++i_encl_data        )      {        flat_feature_type feature(&(*i_encl_data),&a_analysis,i_link);        m_data_set.push_back(feature);      }    for (int i=0;i<c;++i) ++i_link;    }  invariant(i_link==a_analysis.links().end(),"linkage size matches",SOURCELOC);  for (      typename ANALYSIS::prot_iter i_prot(a_analysis.prototypes().begin());      i_prot != a_analysis.prototypes().end();      ++i_prot      )    {    if ((*i_prot).center().rows()>0)      {      m_prot_set.push_back(*i_prot);      }    for (        typename ANALYSIS::prot_iter i_encl_prot( (*i_prot).hierarchy().begin());        i_encl_prot != (*i_prot).hierarchy().end();        ++i_encl_prot        )      {      m_prot_set.push_back(*i_encl_prot);      }    }  m_option.number_prototypes()=m_prot_set.size();  m_option.number_features()=m_data_set.size();  call_successor(mp_succ_alg,*mp_analysis,"flat");    }// template instantiation#endif // FlattenHierarchy_SOURCE

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