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📄 windowslide.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 WindowSlide                    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 WindowSlide_SOURCE#define WindowSlide_SOURCE/* configuration include */#ifdef HAVE_CONFIG_H/*//FILETREE_IFDEF HAVE_CONFIG_H*/#include "config.h"/*//FILETREE_ENDIF*/#endif// necessary includes#include "WindowSlide.hpp"// data// implementationtemplate < class ANALYSIS >WindowSlide< ANALYSIS >::WindowSlide  (  OnePassAlgorithm<ANALYSIS> *ap_alg  )  : mp_succ_alg(ap_alg)    , m_elem_funcs_called(false)  , m_emulated_elem_wise(false)  {    }template < class ANALYSIS >WindowSlide< ANALYSIS >::~WindowSlide  (  )  {  FUNCLOG("~WindowSlide");    delete mp_succ_alg;  }template < class ANALYSIS >voidWindowSlide< ANALYSIS >::operator()  (  ANALYSIS& a_analysis  )  {  FUNCLOG("WindowSlide");  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); }    }  call_successor(mp_succ_alg,a_analysis,"wins");  m_elem_funcs_called=false;  m_emulated_elem_wise=false;  }template < class ANALYSIS >voidWindowSlide< ANALYSIS >::operator()  (  ANALYSIS& a_analysis,  WindowSlide< ANALYSIS >::opt_type& a_option  )  {  FUNCLOG("WindowSlide::operator(opt)");  if (!m_elem_funcs_called) reset(a_analysis);  m_buffer_size=10; // read from options  m_window_width=3; // read  m_ring_index=0;  m_sample_size=0;  m_full=false;  m_border=NEG_IMPOSSIBLE_RANGE;  m_ring_buffer.adjust(m_buffer_size);  m_weight_buffer.adjust(m_buffer_size);  m_feature.datum().adjust(m_buffer_size);  a_option.number_prototypes() = DEFAULT_OPTION_PROTCOUNT; // will be deleted  a_option.number_features() = DEFAULT_OPTION_DATACOUNT; // will change  a_option.data_dimension() = m_buffer_size; // new size  (*mp_succ_alg)(a_analysis,a_option);  }template < class ANALYSIS >voidWindowSlide< ANALYSIS >::operator()  (  ANALYSIS& a_analysis,  WindowSlide< ANALYSIS >::data_type& a_datum  )  {  FUNCLOG("WindowSlide::operator(data)");  if (!m_elem_funcs_called) reset(a_analysis);  trace("buffer=",m_ring_buffer);  real_type x(a_datum.select(a_analysis.option().m_selector[AXIS_X]));  real_type y(a_datum.select(a_analysis.option().m_selector[AXIS_Y]));  if (m_border==NEG_IMPOSSIBLE_RANGE) // this is first data object    {    m_border = x + m_window_width/m_buffer_size;    }  if (x<m_border)    {    m_ring_buffer[m_ring_index] += y;    m_weight_buffer[m_ring_index] += a_datum.weight();    ++m_sample_size;    }  else // ring buffer element finished    {    // calc mean value    if (m_sample_size>0) m_ring_buffer[m_ring_index] /= m_sample_size;    // reset values    m_sample_size=0;    // increase border    m_border += m_window_width/m_buffer_size;    if (m_full) // ring buffer completely filled      {      // calc new datum       real_type mean(0),var(0);  //      for (int i=0;i<m_buffer_size;++i)         {        mean += m_ring_buffer(i);        var += SQR(m_ring_buffer(i));        }      mean /= m_buffer_size;      var = sqrt(1.0/(m_buffer_size-1) * (var - SQR(mean)*m_buffer_size));  //      m_feature.weight()=0;      for (int i=0;i<m_buffer_size;++i)        {        int index((i+m_ring_index+1)%m_buffer_size);  //      m_feature.datum()(i) = m_ring_buffer(index);  //      m_feature.datum()(i) = m_ring_buffer(index)-mean;        m_feature.datum()(i) = (m_ring_buffer(index)-mean)/var;        m_feature.weight() += m_weight_buffer(index);        }      m_feature.weight()=DEFAULT_FEATURE_WEIGHT;      ++m_ring_index; if (m_ring_index==m_buffer_size) m_ring_index=0;      // push new datum      (*mp_succ_alg)(a_analysis,m_feature);      }    else      {      ++m_ring_index;      m_full = (m_ring_index==m_buffer_size-1);      }    // reset new buffer element    {      m_ring_buffer(m_ring_index) = 0;      m_weight_buffer(m_ring_index) = 0;    }    }  }template < class ANALYSIS >voidWindowSlide< ANALYSIS >::operator()  (  ANALYSIS& a_analysis,  WindowSlide< ANALYSIS >::prot_type& a_prototype  )  {  FUNCLOG("WindowSlide::operator(prot)");  if (!m_elem_funcs_called) reset(a_analysis);    }template < class ANALYSIS >voidWindowSlide< ANALYSIS >::operator()  (  ANALYSIS& a_analysis,  WindowSlide< ANALYSIS >::link_type& a_link  )  {  FUNCLOG("WindowSlide::operator(link)");  if (!m_elem_funcs_called) reset(a_analysis);    }template < class ANALYSIS >voidWindowSlide< ANALYSIS >::reset  (  ANALYSIS& a_analysis  )  {  FUNCLOG("WindowSlide::reset");    m_elem_funcs_called=true;  }// template instantiation#endif // WindowSlide_SOURCE

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