📄 mergehcclsegments.cpp
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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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