itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample > Class Template Reference

is a GoodnessOfFitComponent for Gaussian distribution. More...

#include <itkGaussianGoodnessOfFitComponent.h>

Inheritance diagram for itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample >:

[legend]Collaboration diagram for itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample >:

[legend]List of all members.

Public Types
typedef GaussianGoodnessOfFitComponent	Self
typedef GoodnessOfFitComponentBase< TInputSample >	Superclass
typedef SmartPointer< Self >	Pointer
typedef SmartPointer< const Self >	ConstPointer
typedef TInputSample::MeasurementType	MeasurementType
typedef TInputSample::MeasurementVectorType	MeasurementVectorType
typedef Superclass::CenterType	CenterType
typedef Superclass::RadiusType	RadiusType
typedef Superclass::MeanType	MeanType
typedef Superclass::StandardDeviationType	StandardDeviationType
typedef Superclass::ResampledSampleType	ResampledSampleType
typedef Superclass::ProjectionAxisArrayType	ProjectionAxisArrayType
typedef Array< double >	ParametersType
typedef GaussianDensityFunction< MeasurementVectorType >	ProbabilityDensityFunctionType
typedef ProbabilityDensityFunctionType::CovarianceType	CovarianceType
typedef WeightedCovarianceCalculator< ResampledSampleType >	CovarianceCalculatorType
typedef SymmetricEigenSystem< double, itkGetStaticConstMacro(MeasurementVectorSize)	ProjectionAxisCalculatorType )
Public Member Functions
virtual const char *	GetClassName () const
	itkStaticConstMacro (MeasurementVectorSize, unsigned int, TInputSample::MeasurementVectorSize)
unsigned int	GetNumberOfParameters () const
void	SetParameters (const ParametersType &parameter)
CenterType *	GetCenter ()
RadiusType *	GetRadius ()
MeanType *	GetMean ()
StandardDeviationType *	GetStandardDeviation ()
double	GetCumulativeProbability (double x) const
double	GetProbabilityDensity (MeasurementVectorType &measurements) const
void	PrintParameters (std::ostream &os) const
ParametersType	GetFullParameters () const
Static Public Member Functions
Pointer	New ()
Protected Member Functions
	GaussianGoodnessOfFitComponent ()
virtual	~GaussianGoodnessOfFitComponent ()
virtual void	PrintSelf (std::ostream &os, Indent indent) const
virtual void	CalculateProjectionAxes ()

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Detailed Description

template<class TInputSample>
class itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample >

is a GoodnessOfFitComponent for Gaussian distribution.

Among the GoodnessOfFitComponentBase's methods, this class provides implementations for the CalculateProjectionAxess, the GetCumulativeProbability (univariate CDF), and the GetProbabilityDensity (multivariate PDF)methods.

The CalculateProjectionAxes method creats an array of projection axes that are the eigen vectors generated from the weighted covariance matrix of the resampled sample using a spherical kernel.

See also:

GoodnessOfFitComponentBase, GoodnessOfFitMixtureModelCostFunction

Definition at line 45 of file itkGaussianGoodnessOfFitComponent.h.

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Member Typedef Documentation

template<class TInputSample> typedef Superclass::CenterType itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample >::CenterType

Typedefs from Superclass Reimplemented from itk::Statistics::GoodnessOfFitComponentBase< TInputSample >. Definition at line 69 of file itkGaussianGoodnessOfFitComponent.h.

template<class TInputSample> typedef SmartPointer< const Self > itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample >::ConstPointer

Reimplemented from itk::Statistics::GoodnessOfFitComponentBase< TInputSample >. Definition at line 53 of file itkGaussianGoodnessOfFitComponent.h.

template<class TInputSample> typedef WeightedCovarianceCalculator< ResampledSampleType > itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample >::CovarianceCalculatorType

Type of the covariance calculator. the output of this calculator is a covariance matrix that is used as the input of the Projection calculator Definition at line 88 of file itkGaussianGoodnessOfFitComponent.h.

template<class TInputSample> typedef ProbabilityDensityFunctionType::CovarianceType itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample >::CovarianceType

Definition at line 82 of file itkGaussianGoodnessOfFitComponent.h.

template<class TInputSample> typedef Superclass::MeanType itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample >::MeanType

Type of the mean of the distribution Reimplemented from itk::Statistics::GoodnessOfFitComponentBase< TInputSample >. Definition at line 71 of file itkGaussianGoodnessOfFitComponent.h.

template<class TInputSample> typedef TInputSample::MeasurementType itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample >::MeasurementType

Typedefs from the TInputSample Reimplemented from itk::Statistics::GoodnessOfFitComponentBase< TInputSample >. Definition at line 65 of file itkGaussianGoodnessOfFitComponent.h.

template<class TInputSample> typedef TInputSample::MeasurementVectorType itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample >::MeasurementVectorType

Reimplemented from itk::Statistics::GoodnessOfFitComponentBase< TInputSample >. Definition at line 66 of file itkGaussianGoodnessOfFitComponent.h.

template<class TInputSample> typedef Array< double > itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample >::ParametersType

Type of the array of component parameters Reimplemented from itk::Statistics::GoodnessOfFitComponentBase< TInputSample >. Definition at line 75 of file itkGaussianGoodnessOfFitComponent.h.

template<class TInputSample> typedef SmartPointer< Self > itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample >::Pointer

Reimplemented from itk::Statistics::GoodnessOfFitComponentBase< TInputSample >. Definition at line 52 of file itkGaussianGoodnessOfFitComponent.h.

template<class TInputSample> typedef GaussianDensityFunction< MeasurementVectorType > itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample >::ProbabilityDensityFunctionType

Weight function type. The density values are used as weights of each instance (measurement vector) for the Covariance calulator Definition at line 80 of file itkGaussianGoodnessOfFitComponent.h.

template<class TInputSample> typedef Superclass::ProjectionAxisArrayType itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample >::ProjectionAxisArrayType

projection axis array type. The type of output from CalculateProjectionAxis(). The number of projection axis are fixed equal to the number of components of a measurement vector Reimplemented from itk::Statistics::GoodnessOfFitComponentBase< TInputSample >. Definition at line 74 of file itkGaussianGoodnessOfFitComponent.h.

template<class TInputSample> typedef SymmetricEigenSystem< double, itkGetStaticConstMacro(MeasurementVectorSize) itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample >::ProjectionAxisCalculatorType)

Default projection axis calculator type Definition at line 93 of file itkGaussianGoodnessOfFitComponent.h.

template<class TInputSample> typedef Superclass::RadiusType itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample >::RadiusType

Type of the radius of the hyperspherical neighborhood sampling Reimplemented from itk::Statistics::GoodnessOfFitComponentBase< TInputSample >. Definition at line 70 of file itkGaussianGoodnessOfFitComponent.h.

template<class TInputSample> typedef Superclass::ResampledSampleType itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample >::ResampledSampleType

Resample() output type Reimplemented from itk::Statistics::GoodnessOfFitComponentBase< TInputSample >. Definition at line 73 of file itkGaussianGoodnessOfFitComponent.h.

template<class TInputSample> typedef GaussianGoodnessOfFitComponent itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample >::Self

Standard class typedefs Reimplemented from itk::Statistics::GoodnessOfFitComponentBase< TInputSample >. Definition at line 50 of file itkGaussianGoodnessOfFitComponent.h.

template<class TInputSample> typedef Superclass::StandardDeviationType itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample >::StandardDeviationType

Type of standard deviation of the distribution Reimplemented from itk::Statistics::GoodnessOfFitComponentBase< TInputSample >. Definition at line 72 of file itkGaussianGoodnessOfFitComponent.h.

template<class TInputSample> typedef GoodnessOfFitComponentBase< TInputSample > itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample >::Superclass

Reimplemented from itk::Statistics::GoodnessOfFitComponentBase< TInputSample >. Definition at line 51 of file itkGaussianGoodnessOfFitComponent.h.

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Constructor & Destructor Documentation

template<class TInputSample> itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample >::GaussianGoodnessOfFitComponent (   )  [protected]

template<class TInputSample> virtual itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample >::~GaussianGoodnessOfFitComponent (   )  [protected, virtual]

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Member Function Documentation

template<class TInputSample> virtual void itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample >::CalculateProjectionAxes (   )  [protected, virtual]

Calculates the base axes for projection Implements itk::Statistics::GoodnessOfFitComponentBase< TInputSample >.

template<class TInputSample> CenterType* itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample >::GetCenter (   )  [virtual]

Gets the center point for the neighborhood sampling Implements itk::Statistics::GoodnessOfFitComponentBase< TInputSample >.

template<class TInputSample> virtual const char* itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample >::GetClassName (   )  const [virtual]

Run-time type information (and related methods). Reimplemented from itk::Statistics::GoodnessOfFitComponentBase< TInputSample >.

template<class TInputSample> double itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample >::GetCumulativeProbability (  double  x  )  const [virtual]

Univariate (standard) cumulative probability function Implements itk::Statistics::GoodnessOfFitComponentBase< TInputSample >.

template<class TInputSample> ParametersType itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample >::GetFullParameters (   )  const [virtual]

Gets the full distribution parameters which consists of mean vector and covariance matrix in a single array Implements itk::Statistics::GoodnessOfFitComponentBase< TInputSample >.

template<class TInputSample> MeanType* itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample >::GetMean (   )  [virtual]

Gets the mean of the distributon Implements itk::Statistics::GoodnessOfFitComponentBase< TInputSample >.

template<class TInputSample> unsigned int itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample >::GetNumberOfParameters (  void   )  const [inline, virtual]

Gets the size of parameters which consists of mean and standard deviation Implements itk::Statistics::GoodnessOfFitComponentBase< TInputSample >. Definition at line 97 of file itkGaussianGoodnessOfFitComponent.h. References itkGetStaticConstMacro.

template<class TInputSample> double itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample >::GetProbabilityDensity (  MeasurementVectorType &  measurements  )  const [virtual]

Multivariate probability density function Implements itk::Statistics::GoodnessOfFitComponentBase< TInputSample >.

template<class TInputSample> RadiusType* itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample >::GetRadius (   )  [virtual]

Gets the radius for the neighborhood sampling Implements itk::Statistics::GoodnessOfFitComponentBase< TInputSample >.

template<class TInputSample> StandardDeviationType* itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample >::GetStandardDeviation (   )  [virtual]

Gets the standard deviation of the distribution Implements itk::Statistics::GoodnessOfFitComponentBase< TInputSample >.

template<class TInputSample> itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample >::itkStaticConstMacro (  MeasurementVectorSize  , unsigned  int, TInputSample::MeasurementVectorSize  )

Typedefs from input sample Reimplemented from itk::Statistics::GoodnessOfFitComponentBase< TInputSample >.

template<class TInputSample> Pointer itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample >::New (   )  [static]

Method for creation through the object factory. Reimplemented from itk::Object.

template<class TInputSample> void itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample >::PrintParameters (  std::ostream &  os  )  const [virtual]

Prints all the parameters. Usually for debugging. Implements itk::Statistics::GoodnessOfFitComponentBase< TInputSample >.

template<class TInputSample> virtual void itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample >::PrintSelf (  std::ostream &  os, Indent  indent )  const [protected, virtual]

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::Statistics::GoodnessOfFitComponentBase< TInputSample >.

template<class TInputSample> void itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample >::SetParameters (  const ParametersType &  parameter  )  [virtual]

Sets the component distribution parameters Reimplemented from itk::Statistics::GoodnessOfFitComponentBase< TInputSample >.

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The documentation for this class was generated from the following file:

• itkGaussianGoodnessOfFitComponent.h

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