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

#include <itkKdTreeBasedKmeansEstimator.h>

List of all members.

Public Member Functions
	CandidateVector ()
virtual	~CandidateVector ()
int	Size ()
Candidate &	operator[] (int index)
void	SetCentroids (InternalParametersType &centroids)
void	GetCentroids (InternalParametersType &centroids)
void	UpdateCentroids ()

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Detailed Description

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

vector of k-means candidates

Definition at line 144 of file itkKdTreeBasedKmeansEstimator.h.

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Constructor & Destructor Documentation

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

Definition at line 147 of file itkKdTreeBasedKmeansEstimator.h. References itk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >::CentroidType.

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

Definition at line 156 of file itkKdTreeBasedKmeansEstimator.h.

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Member Function Documentation

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

gets the centroids (k-means) Definition at line 179 of file itkKdTreeBasedKmeansEstimator.h.

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

gets the index-th candidates Definition at line 211 of file itkKdTreeBasedKmeansEstimator.h.

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

Initialize the centroids with the argument. At each iteration, this should be called before filtering Definition at line 164 of file itkKdTreeBasedKmeansEstimator.h.

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

returns the number of candidate = k Definition at line 159 of file itkKdTreeBasedKmeansEstimator.h.

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

updates the centroids using the vector sum of measurement vectors that belongs to each centroid and the number of measurement vectors Definition at line 192 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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