#include <itkKdTreeBasedKmeansEstimator.h>
Definition at line 162 of file itkKdTreeBasedKmeansEstimator.h.
Public Member Functions | |
| CandidateVector () | |
| Candidate & | operator[] (int index) |
| int | Size () const |
| virtual | ~CandidateVector () |
| void | GetCentroids (InternalParametersType ¢roids) |
| void | SetCentroids (InternalParametersType ¢roids) |
| void | UpdateCentroids () |
Classes | |
| struct | Candidate |
| itk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >::CandidateVector::CandidateVector | ( | ) | [inline] |
Definition at line 165 of file itkKdTreeBasedKmeansEstimator.h.
| virtual itk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >::CandidateVector::~CandidateVector | ( | ) | [inline, virtual] |
Definition at line 174 of file itkKdTreeBasedKmeansEstimator.h.
| void itk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >::CandidateVector::GetCentroids | ( | InternalParametersType & | centroids | ) | [inline] |
gets the centroids (k-means)
Definition at line 199 of file itkKdTreeBasedKmeansEstimator.h.
References itk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >::CandidateVector::Candidate::Centroid.
| Candidate& itk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >::CandidateVector::operator[] | ( | int | index | ) | [inline] |
gets the index-th candidates
Definition at line 231 of file itkKdTreeBasedKmeansEstimator.h.
| 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 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.
| int itk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >::CandidateVector::Size | ( | void | ) | const [inline] |
returns the number of candidate = k
Definition at line 177 of file itkKdTreeBasedKmeansEstimator.h.
| 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 212 of file itkKdTreeBasedKmeansEstimator.h.
1.5.6 written by Dimitri van Heesch,
© 1997-2000