ITK  4.3.0
Insight Segmentation and Registration Toolkit
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itk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >::CandidateVector Class Reference

#include <itkKdTreeBasedKmeansEstimator.h>

+ Collaboration diagram for itk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >::CandidateVector:

Detailed Description

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

Candidate Vector.

Definition at line 179 of file itkKdTreeBasedKmeansEstimator.h.

Classes

struct  Candidate
 

Public Member Functions

 CandidateVector ()
 
void GetCentroids (InternalParametersType &centroids)
 
Candidateoperator[] (int index)
 
int Size () const
 
void UpdateCentroids ()
 
virtual ~CandidateVector ()
 
void SetCentroids (InternalParametersType &centroids)
 

Private Attributes

std::vector< Candidatem_Candidates
 
MeasurementVectorSizeType m_MeasurementVectorSize
 

Constructor & Destructor Documentation

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

Definition at line 182 of file itkKdTreeBasedKmeansEstimator.h.

template<class TKdTree >
virtual itk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >::CandidateVector::~CandidateVector ( )
inlinevirtual

Definition at line 190 of file itkKdTreeBasedKmeansEstimator.h.

Member Function Documentation

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

gets the index-th candidates

Definition at line 250 of file itkKdTreeBasedKmeansEstimator.h.

template<class TKdTree >
void itk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >::CandidateVector::SetCentroids ( InternalParametersType centroids)
inline
template<class TKdTree >
int itk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >::CandidateVector::Size ( void  ) const
inline

returns the number of candidate = k

Definition at line 193 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 231 of file itkKdTreeBasedKmeansEstimator.h.

Member Data Documentation

template<class TKdTree >
std::vector< Candidate > itk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >::CandidateVector::m_Candidates
private

internal storage for the candidates

Definition at line 257 of file itkKdTreeBasedKmeansEstimator.h.

template<class TKdTree >
MeasurementVectorSizeType itk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >::CandidateVector::m_MeasurementVectorSize
private

Length of each measurement vector

Definition at line 260 of file itkKdTreeBasedKmeansEstimator.h.


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