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

#include <itkKdTreeBasedKmeansEstimator.h>

List of all members.

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Detailed Description

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

vector of k-means candidates

Definition at line 162 of file itkKdTreeBasedKmeansEstimator.h.

Public Member Functions
	CandidateVector ()
gets the	centroids (k-means)*/void GetCentroids(InternalParametersType &centroids)
	for (i=0;i< (unsigned int) this->Size();i++)
Candidate &	operator[] (int index)
Initialize the centroids with the argument *At each this should be called before filtering *void	SetCentroids (InternalParametersType &centroids)
int	Size () const
virtual	~CandidateVector ()
Public Attributes
Initialize the centroids with the argument *At each	iteration
Classes
struct	Candidate

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Constructor & Destructor Documentation

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

Definition at line 165 of file itkKdTreeBasedKmeansEstimator.h.

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

Definition at line 174 of file itkKdTreeBasedKmeansEstimator.h.

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Member Function Documentation

template<class TKdTree> gets the itk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >::CandidateVector::centroids (  k-  means  )  [inline]

Definition at line 198 of file itkKdTreeBasedKmeansEstimator.h.

template<class TKdTree> itk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >::CandidateVector::for (  i  = 0 ; i < (unsigned int)this->Size() ; i++  )  [inline]

Definition at line 215 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 231 of file itkKdTreeBasedKmeansEstimator.h.

template<class TKdTree> Initialize the centroids with the argument* At each this should be called before filtering* void itk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >::CandidateVector::SetCentroids (  InternalParametersType &  centroids  )  [inline]

Definition at line 182 of file itkKdTreeBasedKmeansEstimator.h. References itk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >::CandidateVector::Candidate::Centroid, itk::MeasurementVectorTraits::GetLength(), itk::MeasurementVectorTraits::SetLength(), itk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >::CandidateVector::Candidate::Size, and itk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >::CandidateVector::Candidate::WeightedCentroid.

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

returns the number of candidate = k Definition at line 177 of file itkKdTreeBasedKmeansEstimator.h.

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Member Data Documentation

template<class TKdTree> Initialize the centroids with the argument* At each itk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >::CandidateVector::iteration

Definition at line 181 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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