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ITK
5.1.0
Insight Toolkit
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#include <itkGaussianMixtureModelComponent.h>
Additional Inherited Members | |
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bool | AreParametersModified () |
void | AreParametersModified (bool flag) |
double | Evaluate (MeasurementVectorType &measurements) |
virtual ParametersType | GetFullParameters () |
MembershipFunctionType * | GetMembershipFunction () |
double | GetMinimalParametersChange () |
const TSample * | GetSample () const |
double | GetWeight (unsigned int index) const |
virtual const WeightArrayType & | GetWeights () const |
void | SetMinimalParametersChange (double change) |
virtual void | SetParameters (const ParametersType ¶meters) |
void | SetWeight (unsigned int index, double value) |
virtual void | Update () |
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unsigned long | AddObserver (const EventObject &event, Command *) |
unsigned long | AddObserver (const EventObject &event, Command *) const |
virtual void | DebugOff () const |
virtual void | DebugOn () const |
Command * | GetCommand (unsigned long tag) |
bool | GetDebug () const |
MetaDataDictionary & | GetMetaDataDictionary () |
const MetaDataDictionary & | GetMetaDataDictionary () const |
virtual ModifiedTimeType | GetMTime () const |
virtual const TimeStamp & | GetTimeStamp () const |
bool | HasObserver (const EventObject &event) const |
void | InvokeEvent (const EventObject &) |
void | InvokeEvent (const EventObject &) const |
virtual void | Modified () const |
void | Register () const override |
void | RemoveAllObservers () |
void | RemoveObserver (unsigned long tag) |
void | SetDebug (bool debugFlag) const |
void | SetReferenceCount (int) override |
void | UnRegister () const noexcept override |
void | SetMetaDataDictionary (const MetaDataDictionary &rhs) |
void | SetMetaDataDictionary (MetaDataDictionary &&rrhs) |
virtual void | SetObjectName (std::string _arg) |
virtual const std::string & | GetObjectName () const |
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virtual void | Delete () |
virtual int | GetReferenceCount () const |
itkCloneMacro (Self) | |
void | Print (std::ostream &os, Indent indent=0) const |
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static bool | GetGlobalWarningDisplay () |
static void | GlobalWarningDisplayOff () |
static void | GlobalWarningDisplayOn () |
static Pointer | New () |
static void | SetGlobalWarningDisplay (bool flag) |
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static void | BreakOnError () |
static Pointer | New () |
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MixtureModelComponentBase () | |
void | PrintSelf (std::ostream &os, Indent indent) const override |
void | SetMembershipFunction (MembershipFunctionType *function) |
~MixtureModelComponentBase () override=default | |
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Object () | |
~Object () override | |
bool | PrintObservers (std::ostream &os, Indent indent) const |
virtual void | SetTimeStamp (const TimeStamp &time) |
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virtual LightObject::Pointer | InternalClone () const |
LightObject () | |
virtual void | PrintHeader (std::ostream &os, Indent indent) const |
virtual void | PrintTrailer (std::ostream &os, Indent indent) const |
virtual | ~LightObject () |
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std::atomic< int > | m_ReferenceCount |
is a component (derived from MixtureModelComponentBase) for Gaussian class. This class is used in ExpectationMaximizationMixtureModelEstimator.
On every iteration of EM estimation, this class's GenerateData method is called to compute the new distribution parameters.
Recent API changes: The static const macro to get the length of a measurement vector, MeasurementVectorSize
has been removed to allow the length of a measurement vector to be specified at run time. It is now obtained at run time from the sample set as input. Please use the function GetMeasurementVectorSize() to get the length.
Definition at line 51 of file itkGaussianMixtureModelComponent.h.
using itk::Statistics::GaussianMixtureModelComponent< TSample >::ConstPointer = SmartPointer<const Self> |
Definition at line 58 of file itkGaussianMixtureModelComponent.h.
using itk::Statistics::GaussianMixtureModelComponent< TSample >::CovarianceEstimatorType = WeightedCovarianceSampleFilter<TSample> |
Typedefs from the superclass
Definition at line 78 of file itkGaussianMixtureModelComponent.h.
using itk::Statistics::GaussianMixtureModelComponent< TSample >::CovarianceMatrixType = typename CovarianceEstimatorType::OutputType |
Type of the covariance matrix
Definition at line 84 of file itkGaussianMixtureModelComponent.h.
using itk::Statistics::GaussianMixtureModelComponent< TSample >::MeanEstimatorType = WeightedMeanSampleFilter<TSample> |
Types of the mean and the covariance calculator that will update this component's distribution parameters
Definition at line 77 of file itkGaussianMixtureModelComponent.h.
using itk::Statistics::GaussianMixtureModelComponent< TSample >::MeanVectorType = typename MeanEstimatorType::OutputType |
Type of the mean vector
Definition at line 81 of file itkGaussianMixtureModelComponent.h.
using itk::Statistics::GaussianMixtureModelComponent< TSample >::MeasurementVectorSizeType = typename Superclass::MeasurementVectorSizeType |
Typedefs from the superclass
Definition at line 67 of file itkGaussianMixtureModelComponent.h.
using itk::Statistics::GaussianMixtureModelComponent< TSample >::MeasurementVectorType = typename Superclass::MeasurementVectorType |
Typedefs from the superclass
Definition at line 66 of file itkGaussianMixtureModelComponent.h.
using itk::Statistics::GaussianMixtureModelComponent< TSample >::MembershipFunctionType = typename Superclass::MembershipFunctionType |
Typedefs from the superclass
Definition at line 68 of file itkGaussianMixtureModelComponent.h.
using itk::Statistics::GaussianMixtureModelComponent< TSample >::NativeMembershipFunctionType = GaussianMembershipFunction<MeasurementVectorType> |
Type of the membership function. Gaussian density function
Definition at line 73 of file itkGaussianMixtureModelComponent.h.
using itk::Statistics::GaussianMixtureModelComponent< TSample >::ParametersType = typename Superclass::ParametersType |
Typedefs from the superclass
Definition at line 70 of file itkGaussianMixtureModelComponent.h.
using itk::Statistics::GaussianMixtureModelComponent< TSample >::Pointer = SmartPointer<Self> |
Definition at line 57 of file itkGaussianMixtureModelComponent.h.
using itk::Statistics::GaussianMixtureModelComponent< TSample >::Self = GaussianMixtureModelComponent |
Standard class type aliases.
Definition at line 55 of file itkGaussianMixtureModelComponent.h.
using itk::Statistics::GaussianMixtureModelComponent< TSample >::Superclass = MixtureModelComponentBase<TSample> |
Definition at line 56 of file itkGaussianMixtureModelComponent.h.
using itk::Statistics::GaussianMixtureModelComponent< TSample >::WeightArrayType = typename Superclass::WeightArrayType |
Typedefs from the superclass
Definition at line 69 of file itkGaussianMixtureModelComponent.h.
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Typedefs from the superclass
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overrideprotecteddefault |
Typedefs from the superclass
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Returns the sum of squared changes in parameters between iterations
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Typedefs from the superclass
Reimplemented from itk::Object.
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Computes the new distribution parameters
Implements itk::Statistics::MixtureModelComponentBase< TSample >.
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Standard Macros
Reimplemented from itk::Statistics::MixtureModelComponentBase< TSample >.
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Typedefs from the superclass
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overrideprotectedvirtual |
Typedefs from the superclass
Reimplemented from itk::Object.
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Sets the component's distribution parameters.
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Sets the input sample
Reimplemented from itk::Statistics::MixtureModelComponentBase< TSample >.
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Typedefs from the superclass
Definition at line 114 of file itkGaussianMixtureModelComponent.h.
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Typedefs from the superclass
Definition at line 118 of file itkGaussianMixtureModelComponent.h.
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Typedefs from the superclass
Definition at line 110 of file itkGaussianMixtureModelComponent.h.
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Typedefs from the superclass
Definition at line 112 of file itkGaussianMixtureModelComponent.h.
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Typedefs from the superclass
Definition at line 116 of file itkGaussianMixtureModelComponent.h.