ITK
6.0.0
Insight Toolkit
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#include <itkKdTreeBasedKmeansEstimator.h>
Definition at line 179 of file itkKdTreeBasedKmeansEstimator.h.
Classes | |
struct | Candidate |
Public Member Functions | |
CandidateVector ()=default | |
void | GetCentroids (InternalParametersType ¢roids) |
Candidate & | operator[] (int index) |
int | Size () const |
void | UpdateCentroids () |
virtual | ~CandidateVector ()=default |
void | SetCentroids (InternalParametersType ¢roids) |
Private Attributes | |
std::vector< Candidate > | m_Candidates |
MeasurementVectorSizeType | m_MeasurementVectorSize { 0 } |
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default |
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virtualdefault |
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inline |
gets the centroids (k-means)
Definition at line 221 of file itkKdTreeBasedKmeansEstimator.h.
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gets the index-th candidates
Definition at line 253 of file itkKdTreeBasedKmeansEstimator.h.
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Initialize the centroids with the argument. At each iteration, this should be called before filtering.
Definition at line 203 of file itkKdTreeBasedKmeansEstimator.h.
References itk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >::CandidateVector::Candidate::Centroid, itk::NumericTraits< T >::GetLength(), itk::NumericTraits< T >::SetLength(), itk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >::CandidateVector::Candidate::Size, and itk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >::CandidateVector::Candidate::WeightedCentroid.
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returns the number of candidate = k
Definition at line 195 of file itkKdTreeBasedKmeansEstimator.h.
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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.
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private |
internal storage for the candidates
Definition at line 257 of file itkKdTreeBasedKmeansEstimator.h.
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private |
Length of each measurement vector
Definition at line 260 of file itkKdTreeBasedKmeansEstimator.h.