itk::Statistics::CovarianceCalculator< TSample > Class Template Reference

Calculates the covariance matrix of the target sample data. More...

#include <itkCovarianceCalculator.h>

Inheritance diagram for itk::Statistics::CovarianceCalculator:

[legend]Collaboration diagram for itk::Statistics::CovarianceCalculator< TSample >:

[legend]List of all members.

[NOHEADER]
virtual const char *	GetClassName () const
Pointer	New ()
Public Types
typedef CovarianceCalculator	Self
typedef Object	Superclass
typedef SmartPointer< Self >	Pointer
typedef Vector< double, itkGetStaticConstMacro(MeasurementVectorSize)	MeanType )
typedef Matrix< double, itkGetStaticConstMacro(MeasurementVectorSize), itkGetStaticConstMacro(MeasurementVectorSize)	OutputType )
Public Methods
	itkStaticConstMacro (MeasurementVectorSize, unsigned int, TSample::MeasurementVectorSize)
void	SetMean (MeanType *mean)
MeanType *	GetMean ()
OutputType *	GetOutput ()
Protected Methods
	CovarianceCalculator ()
virtual	~CovarianceCalculator ()
void	PrintSelf (std::ostream &os, Indent indent) const
void	GenerateData ()

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Detailed Description

template<class TSample>
class itk::Statistics::CovarianceCalculator< TSample >

Calculates the covariance matrix of the target sample data.

Let denotes covariance matrix for the sample, then: When is th component of a measurement vector , is the th componet of the , and the is the th componet ,

Definition at line 40 of file itkCovarianceCalculator.h.

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Member Typedef Documentation

template<class TSample> typedef Vector< double, itkGetStaticConstMacro(MeasurementVectorSize) itk::Statistics::CovarianceCalculator< TSample >::MeanType)

Typedef for the mean output Definition at line 58 of file itkCovarianceCalculator.h.

template<class TSample> typedef Matrix< double, itkGetStaticConstMacro(MeasurementVectorSize), itkGetStaticConstMacro(MeasurementVectorSize) itk::Statistics::CovarianceCalculator< TSample >::OutputType)

Typedef for the mean output Definition at line 59 of file itkCovarianceCalculator.h.

template<class TSample> typedef SmartPointer<Self> itk::Statistics::CovarianceCalculator< TSample >::Pointer

Reimplemented from itk::Statistics::SampleAlgorithmBase< TSample >. Definition at line 47 of file itkCovarianceCalculator.h.

template<class TSample> typedef CovarianceCalculator itk::Statistics::CovarianceCalculator< TSample >::Self

Standard class typedefs. Reimplemented from itk::Statistics::SampleAlgorithmBase< TSample >. Definition at line 45 of file itkCovarianceCalculator.h.

template<class TSample> typedef Object itk::Statistics::CovarianceCalculator< TSample >::Superclass

Reimplemented from itk::Statistics::SampleAlgorithmBase< TSample >. Definition at line 46 of file itkCovarianceCalculator.h.

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Constructor & Destructor Documentation

template<class TSample> itk::Statistics::CovarianceCalculator< TSample >::CovarianceCalculator (    )  [protected]

template<class TSample> virtual itk::Statistics::CovarianceCalculator< TSample >::~CovarianceCalculator (    )  [inline, protected, virtual]

Definition at line 73 of file itkCovarianceCalculator.h.

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Member Function Documentation

template<class TSample> void itk::Statistics::CovarianceCalculator< TSample >::GenerateData (    )  [protected, virtual]

Calculates the covariance and save it Reimplemented from itk::Statistics::SampleAlgorithmBase< TSample >.

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

Standard Macros Reimplemented from itk::Statistics::SampleAlgorithmBase< TSample >.

template<class TSample> MeanType* itk::Statistics::CovarianceCalculator< TSample >::GetMean (    )

Returns the sample pointer

template<class TSample> OutputType* itk::Statistics::CovarianceCalculator< TSample >::GetOutput (    )

Returns the covariance matrix of the target sample data

template<class TSample> itk::Statistics::CovarianceCalculator< TSample >::itkStaticConstMacro (  MeasurementVectorSize   , unsigned    int, TSample::MeasurementVectorSize    )

template<class TSample> Pointer itk::Statistics::CovarianceCalculator< TSample >::New (    )  [static]

Standard Macros Reimplemented from itk::Statistics::SampleAlgorithmBase< TSample >.

template<class TSample> void itk::Statistics::CovarianceCalculator< TSample >::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::SampleAlgorithmBase< TSample >.

template<class TSample> void itk::Statistics::CovarianceCalculator< TSample >::SetMean (  MeanType *    mean )

Stores the sample pointer

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

• itkCovarianceCalculator.h

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