📄 protsetdistance.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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