itk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >::CandidateVector Class Template Reference

#include <itkKdTreeBasedKmeansEstimator.h>

List of all members.

Public Methods
	CandidateVector ()
virtual	~CandidateVector ()
int	Size ()
Candidate &	operator[] (int index)
void	SetCenteroids (InternalParametersType &centeroids)
void	GetCenteroids (InternalParametersType &centeroids)
void	UpdateCenteroids ()

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Detailed Description

template<class TKdTree>
class itk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >::CandidateVector

vector of k-means candidates

Definition at line 141 of file itkKdTreeBasedKmeansEstimator.h.

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Constructor & Destructor Documentation

template<class TKdTree> itk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >::CandidateVector::CandidateVector (    )  [inline]

Definition at line 144 of file itkKdTreeBasedKmeansEstimator.h.

template<class TKdTree> virtual itk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >::CandidateVector::~CandidateVector (    )  [inline, virtual]

Definition at line 153 of file itkKdTreeBasedKmeansEstimator.h.

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Member Function Documentation

template<class TKdTree> void itk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >::CandidateVector::GetCenteroids (  InternalParametersType &    centeroids )  [inline]

gets the centeroids (k-means) Definition at line 176 of file itkKdTreeBasedKmeansEstimator.h. References itk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >::CandidateVector::Candidate::Centeroid.

template<class TKdTree> Candidate& itk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >::CandidateVector::operator[] (  int    index )  [inline]

gets the index-th candidates Definition at line 208 of file itkKdTreeBasedKmeansEstimator.h.

template<class TKdTree> void itk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >::CandidateVector::SetCenteroids (  InternalParametersType &    centeroids )  [inline]

Initialize the centeroids with the argument. At each iteration, this should be called before filtering Definition at line 161 of file itkKdTreeBasedKmeansEstimator.h. References itk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >::CandidateVector::Candidate::Centeroid, itk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >::CandidateVector::Candidate::Size, and itk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >::CandidateVector::Candidate::WeightedCenteroid.

template<class TKdTree> int itk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >::CandidateVector::Size (  void    )  [inline]

returns the number of candidate = k Definition at line 156 of file itkKdTreeBasedKmeansEstimator.h.

template<class TKdTree> void itk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >::CandidateVector::UpdateCenteroids (    )  [inline]

updates the centeroids using the vector sum of measurement vectors that belongs to each centeroid and the number of measurement vectors Definition at line 189 of file itkKdTreeBasedKmeansEstimator.h.

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The documentation for this class was generated from the following file:

• itkKdTreeBasedKmeansEstimator.h

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