ITK  6.0.0
Insight Toolkit
Classes | Public Member Functions | Private Attributes | List of all members
itk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >::CandidateVector Class Reference

#include <itkKdTreeBasedKmeansEstimator.h>

Detailed Description

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

Candidate Vector.

Definition at line 179 of file itkKdTreeBasedKmeansEstimator.h.

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

Classes

struct  Candidate
 

Public Member Functions

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

Private Attributes

std::vector< Candidatem_Candidates
 
MeasurementVectorSizeType m_MeasurementVectorSize { 0 }
 

Constructor & Destructor Documentation

◆ CandidateVector()

template<typename TKdTree >
itk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >::CandidateVector::CandidateVector ( )
default

◆ ~CandidateVector()

template<typename TKdTree >
virtual itk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >::CandidateVector::~CandidateVector ( )
virtualdefault

Member Function Documentation

◆ GetCentroids()

template<typename TKdTree >
void itk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >::CandidateVector::GetCentroids ( InternalParametersType centroids)
inline

gets the centroids (k-means)

Definition at line 221 of file itkKdTreeBasedKmeansEstimator.h.

◆ operator[]()

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

gets the index-th candidates

Definition at line 253 of file itkKdTreeBasedKmeansEstimator.h.

◆ SetCentroids()

template<typename TKdTree >
void itk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >::CandidateVector::SetCentroids ( InternalParametersType centroids)
inline

◆ Size()

template<typename TKdTree >
int itk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >::CandidateVector::Size ( ) const
inline

returns the number of candidate = k

Definition at line 195 of file itkKdTreeBasedKmeansEstimator.h.

◆ UpdateCentroids()

template<typename 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 235 of file itkKdTreeBasedKmeansEstimator.h.

Member Data Documentation

◆ m_Candidates

template<typename 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.

◆ m_MeasurementVectorSize

template<typename TKdTree >
MeasurementVectorSizeType itk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >::CandidateVector::m_MeasurementVectorSize { 0 }
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: