#include <itkGaussianMixtureModelComponent.h>

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

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

Detailed Description

template<class 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

Definition at line 50 of file itkGaussianMixtureModelComponent.h.

Public Types
typedef SmartPointer< const Self >	ConstPointer

typedef WeightedCovarianceSampleFilter < TSample >	CovarianceEstimatorType

typedef CovarianceEstimatorType::OutputType	CovarianceMatrixType

typedef WeightedMeanSampleFilter < TSample >	MeanEstimatorType

typedef MeanEstimatorType::OutputType	MeanVectorType

typedef Superclass::MeasurementVectorSizeType	MeasurementVectorSizeType

typedef Superclass::MeasurementVectorType	MeasurementVectorType

typedef Superclass::MembershipFunctionType	MembershipFunctionType

typedef GaussianMembershipFunction < MeasurementVectorType >	NativeMembershipFunctionType

typedef Superclass::ParametersType	ParametersType

typedef SmartPointer< Self >	Pointer

typedef GaussianMixtureModelComponent	Self

typedef MixtureModelComponentBase < TSample >	Superclass

typedef Superclass::WeightArrayType	WeightArrayType

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

typedef TSample::MeasurementVectorSizeType	MeasurementVectorSizeType

typedef TSample::MeasurementVectorType	MeasurementVectorType

typedef MembershipFunctionBase < MeasurementVectorType >	MembershipFunctionType

typedef Array< double >	ParametersType

typedef SmartPointer< Self >	Pointer

typedef MixtureModelComponentBase	Self

typedef Object	Superclass

typedef Array< double >	WeightArrayType

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

typedef SmartPointer< Self >	Pointer

typedef Object	Self

typedef LightObject	Superclass

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

typedef SmartPointer< Self >	Pointer

typedef LightObject	Self

Public Member Functions
void	SetParameters (const ParametersType &parameters)

void	SetSample (const TSample *sample)

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

bool	AreParametersModified ()

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 ()

void	SetMinimalParametersChange (double change)

virtual void	SetParameters (const ParametersType &parameters)

void	SetWeight (unsigned int index, double value)

virtual void	Update ()

Public Member Functions inherited from itk::Object
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 (void)

const MetaDataDictionary &	GetMetaDataDictionary (void) 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

virtual void	Register () const

void	RemoveAllObservers ()

void	RemoveObserver (unsigned long tag)

void	SetDebug (bool debugFlag) const

void	SetMetaDataDictionary (const MetaDataDictionary &rhs)

virtual void	SetReferenceCount (int)

virtual void	UnRegister () const

Public Member Functions inherited from itk::LightObject
virtual void	Delete ()

virtual int	GetReferenceCount () const

	itkCloneMacro (Self)

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

Protected Member Functions
double	CalculateParametersChange ()

	GaussianMixtureModelComponent ()

void	GenerateData ()

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

virtual	~GaussianMixtureModelComponent ()

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

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

void	SetMembershipFunction (MembershipFunctionType *function)

virtual	~MixtureModelComponentBase ()

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

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

virtual void	SetTimeStamp (const TimeStamp &time)

virtual	~Object ()

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

virtual const char *	GetNameOfClass () const

virtual ::itk::LightObject::Pointer	CreateAnother (void) const

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 flag)

Protected Types inherited from itk::LightObject
typedef int	InternalReferenceCountType

Protected Attributes inherited from itk::LightObject
InternalReferenceCountType	m_ReferenceCount

SimpleFastMutexLock	m_ReferenceCountLock

Member Typedef Documentation

template<class TSample >

typedef SmartPointer< const Self > itk::Statistics::GaussianMixtureModelComponent< TSample >::ConstPointer

Definition at line 58 of file itkGaussianMixtureModelComponent.h.

template<class TSample >

typedef WeightedCovarianceSampleFilter< TSample > itk::Statistics::GaussianMixtureModelComponent< TSample >::CovarianceEstimatorType

Definition at line 79 of file itkGaussianMixtureModelComponent.h.

template<class TSample >

typedef CovarianceEstimatorType::OutputType itk::Statistics::GaussianMixtureModelComponent< TSample >::CovarianceMatrixType

Type of the covariance matrix

Definition at line 85 of file itkGaussianMixtureModelComponent.h.

template<class TSample >

typedef WeightedMeanSampleFilter< TSample > itk::Statistics::GaussianMixtureModelComponent< TSample >::MeanEstimatorType

Types of the mean and the covariance calculator that will update this component's distribution parameters

Definition at line 78 of file itkGaussianMixtureModelComponent.h.

template<class TSample >

typedef MeanEstimatorType::OutputType itk::Statistics::GaussianMixtureModelComponent< TSample >::MeanVectorType

Type of the mean vector

Definition at line 82 of file itkGaussianMixtureModelComponent.h.

template<class TSample >

typedef Superclass::MeasurementVectorSizeType itk::Statistics::GaussianMixtureModelComponent< TSample >::MeasurementVectorSizeType

Definition at line 67 of file itkGaussianMixtureModelComponent.h.

template<class TSample >

typedef Superclass::MeasurementVectorType itk::Statistics::GaussianMixtureModelComponent< TSample >::MeasurementVectorType

Typedefs from the superclass

Definition at line 62 of file itkGaussianMixtureModelComponent.h.

template<class TSample >

typedef Superclass::MembershipFunctionType itk::Statistics::GaussianMixtureModelComponent< TSample >::MembershipFunctionType

Definition at line 68 of file itkGaussianMixtureModelComponent.h.

template<class TSample >

typedef GaussianMembershipFunction< MeasurementVectorType > itk::Statistics::GaussianMixtureModelComponent< TSample >::NativeMembershipFunctionType

Type of the membership function. Gaussian density function

Definition at line 74 of file itkGaussianMixtureModelComponent.h.

template<class TSample >

typedef Superclass::ParametersType itk::Statistics::GaussianMixtureModelComponent< TSample >::ParametersType

Definition at line 70 of file itkGaussianMixtureModelComponent.h.

template<class TSample >

typedef SmartPointer< Self > itk::Statistics::GaussianMixtureModelComponent< TSample >::Pointer

Definition at line 57 of file itkGaussianMixtureModelComponent.h.

template<class TSample >

typedef GaussianMixtureModelComponent itk::Statistics::GaussianMixtureModelComponent< TSample >::Self

Standard class typedefs.

Definition at line 55 of file itkGaussianMixtureModelComponent.h.

template<class TSample >

typedef MixtureModelComponentBase< TSample > itk::Statistics::GaussianMixtureModelComponent< TSample >::Superclass

Definition at line 56 of file itkGaussianMixtureModelComponent.h.

template<class TSample >

typedef Superclass::WeightArrayType itk::Statistics::GaussianMixtureModelComponent< TSample >::WeightArrayType

Definition at line 69 of file itkGaussianMixtureModelComponent.h.

Constructor & Destructor Documentation

template<class TSample >

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

protected

template<class TSample >

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

inlineprotectedvirtual

Definition at line 95 of file itkGaussianMixtureModelComponent.h.

Member Function Documentation

template<class TSample >

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

protected

Returns the sum of squared changes in parameters between iterations

template<class TSample >

virtual::itk::LightObject::Pointer itk::Statistics::GaussianMixtureModelComponent< TSample >::CreateAnother ( void ) const

virtual

Standard Macros

Reimplemented from itk::Object.

template<class TSample >

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

protectedvirtual

Computes the new distribution parameters

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

template<class TSample >

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

virtual

Standard Macros

Reimplemented from itk::Statistics::MixtureModelComponentBase< TSample >.

template<class TSample >

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

static

Standard Macros

template<class TSample >

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

protectedvirtual

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.

template<class TSample >

void itk::Statistics::GaussianMixtureModelComponent< TSample >::SetParameters ( const ParametersType & parameters )

Sets the component's distribution parameters.

template<class TSample >

void itk::Statistics::GaussianMixtureModelComponent< TSample >::SetSample ( const TSample * sample )

virtual

Sets the input sample

Reimplemented from itk::Statistics::MixtureModelComponentBase< TSample >.