📄 membershipinit.cpp
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/* Context : Fuzzy Clustering Algorithms Author : Frank Hoeppner, see also AUTHORS file Description : implementation of class module MembershipInit 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 MembershipInit_SOURCE#define MembershipInit_SOURCE/* configuration include */#ifdef HAVE_CONFIG_H/*//FILETREE_IFDEF HAVE_CONFIG_H*/#include "config.h"/*//FILETREE_ENDIF*/#endif// necessary includes#include "MembershipInit.hpp"#include "ProbMembUpdate.hpp"// data// implementationtemplate < class ANALYSIS >MembershipInit< ANALYSIS >::MembershipInit ( Algorithm<ANALYSIS>* ap_alg ) : mp_succ_alg(ap_alg) { }template < class ANALYSIS >MembershipInit< ANALYSIS >::~MembershipInit ( ) { FUNCLOG("~MembershipInit"); delete mp_succ_alg; }template < class ANALYSIS >voidMembershipInit< ANALYSIS >::operator() ( ANALYSIS& a_analysis ) { FUNCLOG("MembershipInit"); const int n(a_analysis.option().number_features()); const int c(a_analysis.option().number_prototypes()); int i,j; typename ANALYSIS::link_iter i_link(a_analysis.links().begin()); int strategy((int)a_analysis.option().m_constants[0]); switch (strategy) { default : // first strategy is default strategy case 0 : { int p(0); for (j=0;j<n;++j) { if (j>(real_type)n/c*(p+1)) { ++p; } for (i=0;i<c;++i) { (*i_link).membership() = (p==i) ? 1 : 0; ++i_link; } } } break; case 1 : { for (j=0;j<n;++j) for (i=0;i<c;++i) { (*i_link).membership() = ((j%c)==i) ? 1 : 0; ++i_link; } } break; case 2 : { for (j=0;j<n;++j) { for (i=0;i<c;++i) { real_type random_distance( random() % 999 ); (*i_link).squared_distance() = random_distance; (*i_link).pow_distance() = random_distance; ++i_link; } } (*probm(nop(a_analysis)))(a_analysis); } break; } invariant(i_link==a_analysis.links().end(),"link size matches",SOURCELOC); a_analysis.option().history() += ".mini"; a_analysis.option().output() = FC_OUTPUT_ALL; a_analysis.option().init() = FC_INIT_MEMB; call_successor(mp_succ_alg,a_analysis,"mini"); }// template instantiation#endif // MembershipInit_SOURCE
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