#include <itkGaussianMixtureModelComponent.h>

Detailed Description

template<typename TSample>
class itk::Statistics::GaussianMixtureModelComponent< TSample >

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.

See also: MixtureModelComponentBase, ExpectationMaximizationMixtureModelEstimator

Examples: Examples/Statistics/ExpectationMaximizationMixtureModelEstimator.cxx, SphinxExamples/src/Numerics/Statistics/2DGaussianMixtureModelExpectMax/Code.cxx, SphinxExamples/src/Numerics/Statistics/DistributeSamplingUsingGMM/Code.cxx, and SphinxExamples/src/Numerics/Statistics/DistributionOfPixelsUsingGMM/Code.cxx.

Definition at line 51 of file itkGaussianMixtureModelComponent.h.

Inheritance diagram for itk::Statistics::GaussianMixtureModelComponent< TSample >:

Collaboration diagram for itk::Statistics::GaussianMixtureModelComponent< TSample >:

Public Types
using	ConstPointer = SmartPointer< const Self >

using	CovarianceEstimatorType = WeightedCovarianceSampleFilter< TSample >

using	CovarianceMatrixType = typename CovarianceEstimatorType::OutputType

using	MeanEstimatorType = WeightedMeanSampleFilter< TSample >

using	MeanVectorType = typename MeanEstimatorType::OutputType

using	NativeMembershipFunctionType = GaussianMembershipFunction< MeasurementVectorType >

using	Pointer = SmartPointer< Self >

using	Self = GaussianMixtureModelComponent

using	Superclass = MixtureModelComponentBase< TSample >

Public Types inherited from itk::Statistics::MixtureModelComponentBase< TSample >
using	ConstPointer = SmartPointer< const Self >

using	MeasurementVectorSizeType = typename TSample::MeasurementVectorSizeType

using	MeasurementVectorType = typename TSample::MeasurementVectorType

using	MembershipFunctionType = MembershipFunctionBase< MeasurementVectorType >

using	ParametersType = Array< double >

using	Pointer = SmartPointer< Self >

using	Self = MixtureModelComponentBase

using	Superclass = Object

using	WeightArrayType = Array< double >

Public Types inherited from itk::Object
using	ConstPointer = SmartPointer< const Self >

using	Pointer = SmartPointer< Self >

using	Self = Object

using	Superclass = LightObject

Public Types inherited from itk::LightObject
using	ConstPointer = SmartPointer< const Self >

using	Pointer = SmartPointer< Self >

using	Self = LightObject

Public Member Functions
void	SetParameters (const ParametersType &parameters) override

void	SetSample (const TSample *sample) override

Public Member Functions inherited from itk::Statistics::MixtureModelComponentBase< TSample >
bool	AreParametersModified ()

void	AreParametersModified (bool flag)

double	Evaluate (MeasurementVectorType &measurements)

virtual ParametersType	GetFullParameters ()

MembershipFunctionType *	GetMembershipFunction ()

double	GetMinimalParametersChange ()

const char *	GetNameOfClass () const override

const TSample *	GetSample () const

double	GetWeight (unsigned int index) const

virtual const WeightArrayType &	GetWeights () const

void	SetMinimalParametersChange (double change)

void	SetWeight (unsigned int index, double value)

virtual void	Update ()

Public Member Functions inherited from itk::Object
unsigned long	AddObserver (const EventObject &event, Command *cmd) const

unsigned long	AddObserver (const EventObject &event, std::function< void(const EventObject &)> function) const

LightObject::Pointer	CreateAnother () const override

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) const

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

Public Member Functions inherited from itk::LightObject
Pointer	Clone () const

virtual void	Delete ()

virtual int	GetReferenceCount () const

void	Print (std::ostream &os, Indent indent=0) const

Protected Member Functions
double	CalculateParametersChange ()

	GaussianMixtureModelComponent ()

void	GenerateData () override

void	PrintSelf (std::ostream &os, Indent indent) const override

	~GaussianMixtureModelComponent () override=default

Protected Member Functions inherited from itk::Statistics::MixtureModelComponentBase< TSample >
	MixtureModelComponentBase ()

void	PrintSelf (std::ostream &os, Indent indent) const override

void	SetMembershipFunction (MembershipFunctionType *function)

	~MixtureModelComponentBase () override=default

Protected Member Functions inherited from itk::Object
	Object ()

bool	PrintObservers (std::ostream &os, Indent indent) const

virtual void	SetTimeStamp (const TimeStamp &timeStamp)

	~Object () override

Protected Member Functions inherited from itk::LightObject
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 ()

Private Attributes
CovarianceEstimatorType::MatrixType	m_Covariance {}

CovarianceEstimatorType::Pointer	m_CovarianceEstimator {}

NativeMembershipFunctionType::Pointer	m_GaussianMembershipFunction {}

MeanEstimatorType::MeasurementVectorType	m_Mean {}

MeanEstimatorType::Pointer	m_MeanEstimator {}

const char *	GetNameOfClass () const override

static Pointer	New ()

Additional Inherited Members
Static Public Member Functions inherited from itk::Object
static bool	GetGlobalWarningDisplay ()

static void	GlobalWarningDisplayOff ()

static void	GlobalWarningDisplayOn ()

static Pointer	New ()

static void	SetGlobalWarningDisplay (bool val)

Static Public Member Functions inherited from itk::LightObject
static void	BreakOnError ()

static Pointer	New ()

Protected Attributes inherited from itk::LightObject
std::atomic< int >	m_ReferenceCount {}

Member Typedef Documentation

◆ ConstPointer

template<typename TSample >

using itk::Statistics::GaussianMixtureModelComponent< TSample >::ConstPointer = SmartPointer<const Self>

Definition at line 58 of file itkGaussianMixtureModelComponent.h.

◆ CovarianceEstimatorType

template<typename TSample >

using itk::Statistics::GaussianMixtureModelComponent< TSample >::CovarianceEstimatorType = WeightedCovarianceSampleFilter<TSample>

Definition at line 78 of file itkGaussianMixtureModelComponent.h.

◆ CovarianceMatrixType

template<typename TSample >

using itk::Statistics::GaussianMixtureModelComponent< TSample >::CovarianceMatrixType = typename CovarianceEstimatorType::OutputType

Type of the covariance matrix

Definition at line 84 of file itkGaussianMixtureModelComponent.h.

◆ MeanEstimatorType

template<typename TSample >

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.

◆ MeanVectorType

template<typename TSample >

using itk::Statistics::GaussianMixtureModelComponent< TSample >::MeanVectorType = typename MeanEstimatorType::OutputType

Type of the mean vector

Definition at line 81 of file itkGaussianMixtureModelComponent.h.

◆ NativeMembershipFunctionType

template<typename TSample >

using itk::Statistics::GaussianMixtureModelComponent< TSample >::NativeMembershipFunctionType = GaussianMembershipFunction<MeasurementVectorType>

Type of the membership function. Gaussian density function

Definition at line 73 of file itkGaussianMixtureModelComponent.h.

◆ Pointer

template<typename TSample >

using itk::Statistics::GaussianMixtureModelComponent< TSample >::Pointer = SmartPointer<Self>

Definition at line 57 of file itkGaussianMixtureModelComponent.h.

◆ Self

template<typename TSample >

using itk::Statistics::GaussianMixtureModelComponent< TSample >::Self = GaussianMixtureModelComponent

Standard class type aliases.

Definition at line 55 of file itkGaussianMixtureModelComponent.h.

◆ Superclass

template<typename TSample >

using itk::Statistics::GaussianMixtureModelComponent< TSample >::Superclass = MixtureModelComponentBase<TSample>

Definition at line 56 of file itkGaussianMixtureModelComponent.h.

Constructor & Destructor Documentation

◆ GaussianMixtureModelComponent()

template<typename TSample >

itk::Statistics::GaussianMixtureModelComponent< TSample >::GaussianMixtureModelComponent ( )

protected

◆ ~GaussianMixtureModelComponent()

template<typename TSample >

itk::Statistics::GaussianMixtureModelComponent< TSample >::~GaussianMixtureModelComponent ( )

overrideprotecteddefault

Member Function Documentation

◆ CalculateParametersChange()

template<typename TSample >

double itk::Statistics::GaussianMixtureModelComponent< TSample >::CalculateParametersChange ( )

protected

Returns the sum of squared changes in parameters between iterations

◆ GenerateData()

template<typename TSample >

void itk::Statistics::GaussianMixtureModelComponent< TSample >::GenerateData ( )

overrideprotectedvirtual

Computes the new distribution parameters

Implements itk::Statistics::MixtureModelComponentBase< TSample >.

◆ GetNameOfClass()

template<typename TSample >

const char* itk::Statistics::GaussianMixtureModelComponent< TSample >::GetNameOfClass ( ) const

overridevirtual

Standard Macros

Reimplemented from itk::Object.

◆ New()

template<typename TSample >

static Pointer itk::Statistics::GaussianMixtureModelComponent< TSample >::New ( )

static

Standard Macros

◆ PrintSelf()

template<typename TSample >

void itk::Statistics::GaussianMixtureModelComponent< TSample >::PrintSelf	(	std::ostream &	os,
		Indent	indent
	)		const

overrideprotectedvirtual

Methods invoked by Print() to print information about the object including superclasses. Typically not called by the user (use Print() instead) but used in the hierarchical print process to combine the output of several classes.

Reimplemented from itk::Object.