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< TSample >:

[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 SmartPointer< const Self >	ConstPointer
typedef Vector< double, itkGetStaticConstMacro(MeasurementVectorSize)	MeanType )
typedef Matrix< double, itkGetStaticConstMacro(MeasurementVectorSize), itkGetStaticConstMacro(MeasurementVectorSize)	OutputType )
Public Member Functions
	itkStaticConstMacro (MeasurementVectorSize, unsigned int, TSample::MeasurementVectorSize)
void	SetMean (MeanType *mean)
MeanType *	GetMean ()
const OutputType *	GetOutput () const
Protected Member Functions
	CovarianceCalculator ()
virtual	~CovarianceCalculator ()
void	PrintSelf (std::ostream &os, Indent indent) const
void	GenerateData ()
void	ComputeCovarianceWithGivenMean ()
void	ComputeCovarianceWithoutGivenMean ()

---

Detailed Description

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

Calculates the covariance matrix of the target sample data.

If there is a mean vector provided by the SetMean method, this calculator will do the caculation as follows: 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 ,

Without the plugged in mean vector, this calculator will perform the single pass mean and covariance calculation algorithm.

Definition at line 45 of file itkCovarianceCalculator.h.

---

Member Typedef Documentation

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

Reimplemented from itk::Statistics::SampleAlgorithmBase< TSample >. Definition at line 53 of file itkCovarianceCalculator.h.

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

Typedef for the mean output Definition at line 64 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 65 of file itkCovarianceCalculator.h.

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

Reimplemented from itk::Statistics::SampleAlgorithmBase< TSample >. Definition at line 52 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 50 of file itkCovarianceCalculator.h.

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

Reimplemented from itk::Statistics::SampleAlgorithmBase< TSample >. Definition at line 51 of file itkCovarianceCalculator.h.

---

Constructor & Destructor Documentation

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

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

---

Member Function Documentation

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

Calculates the covariance matrix using the given mean

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

Calculates the covariance matrix and the mean in a single pass

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

Calculates the covariance and save it. This method calls ComputeCovarianceWithGivenMean, if the user provides mean vector using SetMean method. Otherwise, it calls ComputeCovarianceWithoutGivenMethod depending on 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> const OutputType* itk::Statistics::CovarianceCalculator< TSample >::GetOutput (   )  const

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

---

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

• itkCovarianceCalculator.h

---