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📄 mergehcclsegments.cpp

📁 模糊聚類分析源碼。包含教學文件
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/*    Context       : Fuzzy Clustering Algorithms  Author        : Frank Hoeppner, see also AUTHORS file   Description   : implementation of class module MergeHCCLSegments                    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 MergeHCCLSegments_SOURCE#define MergeHCCLSegments_SOURCE/* configuration include */#ifdef HAVE_CONFIG_H/*//FILETREE_IFDEF HAVE_CONFIG_H*/#include "config.h"/*//FILETREE_ENDIF*/#endif// necessary includes#include "MergeHCCLSegments.hpp"// data// implementationtemplate < class ANALYSIS >MergeHCCLSegments< ANALYSIS >::MergeHCCLSegments  (  Algorithm<ANALYSIS> *ap_alg  )  : mp_succ_alg(ap_alg)      {    }template < class ANALYSIS >MergeHCCLSegments< ANALYSIS >::~MergeHCCLSegments  (  )  {  FUNCLOG("~MergeHCCLSegments");    delete mp_succ_alg;  }template < class ANALYSIS >voidMergeHCCLSegments< ANALYSIS >::operator()  (  ANALYSIS& a_analysis  )  {  FUNCLOG("MergeHCCLSegments");    typename ANALYSIS::prot_iter i_last(a_analysis.prototypes().begin());  typename ANALYSIS::prot_iter i_prot(i_last);  tuple_type delta,last_delta;  const int dim(a_analysis.option().data_dimension());  delta.adjust(dim);  last_delta.adjust(dim);  matrix_set(last_delta,(*i_last).delta());  matrix_normalize(last_delta);  ++i_prot;  for ( ; i_prot!=a_analysis.prototypes().end();++i_prot)    {    if (    ((*i_last).unsupervised_operation() == FC_USO_UNTOUCHED)         && ((*i_prot).unsupervised_operation() == FC_USO_UNTOUCHED)       )      {      matrix_set(delta,(*i_prot).delta());      matrix_normalize(delta);      const real_type product(matrix_dot_product(delta,last_delta));      trace("delta vector product",product);      if (product>0.99/*threshold_equal_deltas*/)        {        (*i_prot).unsupervised_operation() = FC_USO_DELETE;        (*i_last).unsupervised_operation() = FC_USO_MODIFIED;        matrix_inc((*i_last).delta(),(*i_prot).delta());        }      }    matrix_set(last_delta,delta);    i_last=i_prot;    }  (*mp_succ_alg)(a_analysis);    }// template instantiation#endif // MergeHCCLSegments_SOURCE

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