📄 elementclus.cpp
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/* Context : Fuzzy Clustering Algorithms Author : Frank Hoeppner, see also AUTHORS file Description : implementation of class module ElementClus 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 ElementClus_SOURCE#define ElementClus_SOURCE/* configuration include */#ifdef HAVE_CONFIG_H/*//FILETREE_IFDEF HAVE_CONFIG_H*/#include "config.h"/*//FILETREE_ENDIF*/#endif// necessary includes#include "ElementClus.hpp"// data// implementationtemplate < class ANALYSIS >ElementClus< ANALYSIS >::ElementClus ( Algorithm<ANALYSIS>* ap_clus_alg, OnePassAlgorithm<ANALYSIS>* ap_alg /* successor */ ) : mp_succ_alg(ap_alg) , mp_clus_alg(ap_clus_alg) , m_elem_funcs_called(false) , m_emulated_elem_wise(false) { }template < class ANALYSIS >ElementClus< ANALYSIS >::~ElementClus ( ) { FUNCLOG("~ElementClus"); delete mp_succ_alg; }template < class ANALYSIS >voidElementClus< ANALYSIS >::operator() ( ANALYSIS& a_analysis ) { FUNCLOG("ElementClus"); if (!m_elem_funcs_called) { m_emulated_elem_wise = true; operator()(a_analysis,a_analysis.option()); for ( typename ANALYSIS::data_iter i_data(a_analysis.data().begin()); i_data != a_analysis.data().end(); ++i_data ) { operator()(a_analysis,*i_data); } for ( typename ANALYSIS::prot_iter i_prot(a_analysis.prototypes().begin()); i_prot != a_analysis.prototypes().end(); ++i_prot ) { operator()(a_analysis,*i_prot); } for ( typename ANALYSIS::link_iter i_link(a_analysis.links().begin()); i_link != a_analysis.links().end(); ++i_link ) { operator()(a_analysis,*i_link); } } if (m_elemwise_clustering) call_successor(mp_succ_alg,a_analysis,"efcm"); else (*mp_succ_alg)(a_analysis); m_elem_funcs_called=false; m_emulated_elem_wise=false; }template < class ANALYSIS >voidElementClus< ANALYSIS >::operator() ( ANALYSIS& a_analysis, ElementClus< ANALYSIS >::opt_type& a_option ) { FUNCLOG("ElementClus::operator(opt)"); if (!m_elem_funcs_called) reset(a_analysis); m_option = a_option; if (m_option.data_depth() != FC_DEPTH_ANY) { m_option.data_depth() -= 1; } // reduced depth when calling mp_clus_alg m_name = a_option.analysis_name(); (*mp_succ_alg)(a_analysis,a_option); }template < class ANALYSIS >voidElementClus< ANALYSIS >::operator() ( ANALYSIS& a_analysis, ElementClus< ANALYSIS >::data_type& a_datum ) { FUNCLOG("ElementClus::operator(data)"); if (!m_elem_funcs_called) reset(a_analysis); if (a_datum.hierarchy().size()==0) { (*mp_succ_alg)(a_analysis,a_datum); } else { m_elemwise_clustering=true; m_prototypes.clear(); ANALYSIS analysis(&m_option,&(a_datum.hierarchy()),&m_prototypes,&m_links); m_option.number_prototypes() = DEFAULT_OPTION_PROTCOUNT; m_option.init() = FC_INIT_AUTO; m_option.number_features() = a_datum.hierarchy().size(); m_option.analysis_name() = m_name; m_option.analysis_name() += ".data"; m_option.analysis_name() += m_data_counter; (*mp_clus_alg)(analysis); data_type feature; for ( typename ANALYSIS::prot_iter i_prot(m_prototypes.begin()); i_prot != m_prototypes.end(); ++i_prot ) { data_type subfeature; subfeature = (*i_prot); // use copy operator explicitly feature.hierarchy().push_back(subfeature); } (*mp_succ_alg)(a_analysis,feature); } ++m_data_counter; }template < class ANALYSIS >voidElementClus< ANALYSIS >::operator() ( ANALYSIS& a_analysis, ElementClus< ANALYSIS >::prot_type& a_prototype ) { FUNCLOG("ElementClus::operator(prot)"); if (!m_elem_funcs_called) reset(a_analysis); if (a_prototype.hierarchy().size()==0) { (*mp_succ_alg)(a_analysis,a_prototype); } else { m_data.clear(); for ( prot_iter i_encl_prot(a_prototype.hierarchy().begin()); i_encl_prot != a_prototype.hierarchy().end(); ++i_encl_prot ) { data_type feature; feature = (*i_encl_prot); // use copy operator explicitly m_data.push_back(feature); } m_prototypes.clear(); m_links.clear(); ANALYSIS analysis(&m_option,&m_data,&(a_prototype.hierarchy()),&m_links); m_option.number_prototypes() = DEFAULT_OPTION_PROTCOUNT; m_option.number_features() = m_data.size(); m_option.analysis_name() = m_name; m_option.analysis_name() += ".prot"; m_option.analysis_name() += m_prot_counter; (*mp_clus_alg)(analysis); (*mp_succ_alg)(a_analysis,a_prototype); } ++m_prot_counter; }template < class ANALYSIS >voidElementClus< ANALYSIS >::operator() ( ANALYSIS& a_analysis, ElementClus< ANALYSIS >::link_type& a_link ) { FUNCLOG("ElementClus::operator(link)"); if (!m_elem_funcs_called) reset(a_analysis); }template < class ANALYSIS >voidElementClus< ANALYSIS >::reset ( ANALYSIS& a_analysis ) { FUNCLOG("ElementClus::reset"); m_elemwise_clustering=false; m_data_counter=m_prot_counter=0; m_elem_funcs_called=true; }// template instantiation#endif // ElementClus_SOURCE
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