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/*=========================================================================
Program: Insight Segmentation & Registration Toolkit
Module: ClusteringOutputEvaluator.txx
Language: C++
Date: $Date$
Version: $Revision$
Copyright (c) Insight Software Consortium. All rights reserved.
See ITKCopyright.txt or http://www.itk.org/HTML/Copyright.htm for details.
This software is distributed WITHOUT ANY WARRANTY; without even
the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
PURPOSE. See the above copyright notices for more information.
=========================================================================*/
#ifndef __ClusteringOutputEvaluator_txx
#define __ClusteringOutputEvaluator_txx
#include "ClusteringOutputEvaluator.h"
template< class TSample >
ClusteringOutputEvaluator< TSample >
::ClusteringOutputEvaluator()
{
m_Truth = 0 ;
m_NumberOfClasses = 0 ;
}
template< class TSample >
ClusteringOutputEvaluator< TSample >
::~ClusteringOutputEvaluator()
{
}
template< class TSample >
void
ClusteringOutputEvaluator< TSample >
::SetTruth(TSample* sample)
{
m_Truth = sample ;
}
template< class TSample >
void
ClusteringOutputEvaluator< TSample >
::SetClusteringOutput(ClusteringOutputType* labels)
{
m_ClusteringOutput = labels ;
}
template< class TSample >
const int
ClusteringOutputEvaluator< TSample >
::GetSize(const unsigned int classLabel ) const
{
return m_Sizes[this->GetClassIndex(classLabel)] ;
}
template< class TSample >
const int
ClusteringOutputEvaluator< TSample >
::GetNumberOfMatches(const unsigned int classLabel ) const
{
return m_NumberOfMatches[this->GetClassIndex(classLabel)] ;
}
template< class TSample >
const std::vector< int >&
ClusteringOutputEvaluator< TSample >
::GetInclusionErrors(const unsigned int classLabel) const
{
return m_InclusionErrors[this->GetClassIndex(classLabel)] ;
}
template< class TSample >
const std::vector< int >&
ClusteringOutputEvaluator< TSample >
::GetExclusionErrors(const unsigned int classLabel) const
{
return m_ExclusionErrors[this->GetClassIndex(classLabel)] ;
}
template< class TSample >
void
ClusteringOutputEvaluator< TSample >
::SetClassLabels(const std::vector< unsigned int >& classLabels)
{
m_ClassLabels = classLabels ;
m_NumberOfClasses = m_ClassLabels.size() ;
m_Sizes.resize(m_NumberOfClasses) ;
m_NumberOfMatches.resize(m_NumberOfClasses) ;
m_InclusionErrors.resize(m_NumberOfClasses) ;
m_ExclusionErrors.resize(m_NumberOfClasses) ;
for ( int i = 0 ; i < m_NumberOfClasses ; i++ )
{
m_InclusionErrors[i].resize(m_NumberOfClasses) ;
m_ExclusionErrors[i].resize(m_NumberOfClasses) ;
}
}
template< class TSample >
unsigned int
ClusteringOutputEvaluator< TSample >
::GetClassIndex(const unsigned int classLabel) const
{
for ( unsigned int i = 0 ; i < m_NumberOfClasses ; i++ )
{
if ( classLabel == m_ClassLabels[i])
{
return i ;
}
}
return 0 ;
}
template< class TSample >
void
ClusteringOutputEvaluator< TSample >
::GenerateData()
{
for ( int i = 0 ; i < m_NumberOfClasses ; i++ )
{
m_Sizes[i] = 0 ;
m_NumberOfMatches[i] = 0 ;
std::fill(m_InclusionErrors[i].begin(), m_InclusionErrors[i].end(), 0) ;
std::fill(m_ExclusionErrors[i].begin(), m_ExclusionErrors[i].end(), 0) ;
}
// std::copy(m_ClassLabels.begin(), m_ClassLabels.end(),
// std::ostream_iterator<std::string>(std::cout, " ") ) ;
// std::cout << std::endl ;
typename TSample::Iterator t_iter = m_Truth->Begin() ;
ClusteringOutputType::iterator o_iter = m_ClusteringOutput->begin() ;
unsigned int trueLabel ;
unsigned int estimatedLabel ;
while ( o_iter != m_ClusteringOutput->end() )
{
trueLabel = this->GetClassIndex(t_iter.GetMeasurementVector()[0]) ;
estimatedLabel = this->GetClassIndex(*o_iter) ;
m_Sizes[estimatedLabel] += 1 ;
if ( estimatedLabel == trueLabel)
{
m_NumberOfMatches[trueLabel] += 1 ;
}
else
{
// error
m_ExclusionErrors[trueLabel][estimatedLabel] += 1 ;
m_InclusionErrors[estimatedLabel][trueLabel] += 1 ;
}
++t_iter ;
++o_iter ;
}
}
#endif
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