ITK  5.3.0
Insight Toolkit
itkGaussianMixtureModelComponent.h
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18 #ifndef itkGaussianMixtureModelComponent_h
19 #define itkGaussianMixtureModelComponent_h
20 
25 
26 namespace itk
27 {
28 namespace Statistics
29 {
50 template <typename TSample>
51 class ITK_TEMPLATE_EXPORT GaussianMixtureModelComponent : public MixtureModelComponentBase<TSample>
52 {
53 public:
59 
62  itkNewMacro(Self);
64 
66  using MeasurementVectorType = typename Superclass::MeasurementVectorType;
67  using MeasurementVectorSizeType = typename Superclass::MeasurementVectorSizeType;
68  using MembershipFunctionType = typename Superclass::MembershipFunctionType;
69  using WeightArrayType = typename Superclass::WeightArrayType;
70  using ParametersType = typename Superclass::ParametersType;
71 
74 
79 
82 
85 
87  void
88  SetSample(const TSample * sample) override;
89 
91  void
92  SetParameters(const ParametersType & parameters) override;
93 
94 protected:
96  ~GaussianMixtureModelComponent() override = default;
97  void
98  PrintSelf(std::ostream & os, Indent indent) const override;
99 
102  double
103  CalculateParametersChange();
104 
106  void
107  GenerateData() override;
108 
109 private:
111 
113 
115 
117 
119 }; // end of class
120 } // end of namespace Statistics
121 } // end of namespace itk
122 
123 #ifndef ITK_MANUAL_INSTANTIATION
124 # include "itkGaussianMixtureModelComponent.hxx"
125 #endif
126 
127 #endif
itk::Statistics::WeightedCovarianceSampleFilter
Calculates the covariance matrix of the target sample data. where each measurement vector has an asso...
Definition: itkWeightedCovarianceSampleFilter.h:44
itk::Statistics::MixtureModelComponentBase
base class for distribution modules that supports analytical way to update the distribution parameter...
Definition: itkMixtureModelComponentBase.h:57
itk::Statistics::GaussianMixtureModelComponent::m_MeanEstimator
MeanEstimatorType::Pointer m_MeanEstimator
Definition: itkGaussianMixtureModelComponent.h:116
itkGaussianMembershipFunction.h
itk::Statistics::GaussianMixtureModelComponent::m_CovarianceEstimator
CovarianceEstimatorType::Pointer m_CovarianceEstimator
Definition: itkGaussianMixtureModelComponent.h:118
itk::Statistics::WeightedCovarianceSampleFilter::MatrixType
typename Superclass::MatrixType MatrixType
Definition: itkWeightedCovarianceSampleFilter.h:96
itk::Statistics::GaussianMixtureModelComponent::ParametersType
typename Superclass::ParametersType ParametersType
Definition: itkGaussianMixtureModelComponent.h:70
itk::Statistics::GaussianMixtureModelComponent::m_Covariance
CovarianceEstimatorType::MatrixType m_Covariance
Definition: itkGaussianMixtureModelComponent.h:114
itk::SmartPointer< Self >
itk::Indent
Control indentation during Print() invocation.
Definition: itkIndent.h:49
itk::Statistics::GaussianMixtureModelComponent::CovarianceMatrixType
typename CovarianceEstimatorType::OutputType CovarianceMatrixType
Definition: itkGaussianMixtureModelComponent.h:84
itk::Statistics::WeightedMeanSampleFilter::MeasurementVectorType
typename Superclass::MeasurementVectorType MeasurementVectorType
Definition: itkWeightedMeanSampleFilter.h:61
itkMixtureModelComponentBase.h
itk::LightObject
Light weight base class for most itk classes.
Definition: itkLightObject.h:59
itk::Statistics::GaussianMixtureModelComponent::WeightArrayType
typename Superclass::WeightArrayType WeightArrayType
Definition: itkGaussianMixtureModelComponent.h:69
itk::Statistics::GaussianMixtureModelComponent::MeanVectorType
typename MeanEstimatorType::OutputType MeanVectorType
Definition: itkGaussianMixtureModelComponent.h:81
itk::Statistics::GaussianMixtureModelComponent::m_GaussianMembershipFunction
NativeMembershipFunctionType::Pointer m_GaussianMembershipFunction
Definition: itkGaussianMixtureModelComponent.h:110
itk::Statistics::WeightedCovarianceSampleFilter::OutputType
typename Superclass::OutputType OutputType
Definition: itkWeightedCovarianceSampleFilter.h:101
itkWeightedMeanSampleFilter.h
itk::Statistics::GaussianMixtureModelComponent
is a component (derived from MixtureModelComponentBase) for Gaussian class. This class is used in Exp...
Definition: itkGaussianMixtureModelComponent.h:51
itk::Statistics::GaussianMembershipFunction
GaussianMembershipFunction models class membership through a multivariate Gaussian function.
Definition: itkGaussianMembershipFunction.h:56
itk
The "itk" namespace contains all Insight Segmentation and Registration Toolkit (ITK) classes....
Definition: itkAnnulusOperator.h:24
itk::Statistics::WeightedMeanSampleFilter
Given a sample where each measurement vector has associated weight value, this filter computes the sa...
Definition: itkWeightedMeanSampleFilter.h:43
itkWeightedCovarianceSampleFilter.h
itk::Statistics::GaussianMixtureModelComponent::MembershipFunctionType
typename Superclass::MembershipFunctionType MembershipFunctionType
Definition: itkGaussianMixtureModelComponent.h:68
itk::Statistics::WeightedMeanSampleFilter::OutputType
typename Superclass::OutputType OutputType
Definition: itkWeightedMeanSampleFilter.h:96
itk::Statistics::GaussianMixtureModelComponent::MeasurementVectorSizeType
typename Superclass::MeasurementVectorSizeType MeasurementVectorSizeType
Definition: itkGaussianMixtureModelComponent.h:67
itk::Statistics::GaussianMixtureModelComponent::MeasurementVectorType
typename Superclass::MeasurementVectorType MeasurementVectorType
Definition: itkGaussianMixtureModelComponent.h:66
itk::Statistics::GaussianMixtureModelComponent::m_Mean
MeanEstimatorType::MeasurementVectorType m_Mean
Definition: itkGaussianMixtureModelComponent.h:112