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

Calculates the covariance matrix of the target sample data. where each measurement vector has an associated weight value. More...

#include <itkWeightedCovarianceSampleFilter.h>

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

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

List of all members.

Public Types
typedef SmartPointer< const Self >	ConstPointer
typedef SimpleDataObjectDecorator < WeightArrayType >	InputWeightArrayObjectType
typedef DataObjectDecorator < WeightingFunctionType >	InputWeightingFunctionObjectType
typedef SimpleDataObjectDecorator < MatrixType >	MatrixDecoratedType
typedef VariableSizeMatrix < double >	MatrixType
typedef Superclass::MeasurementRealType	MeasurementRealType
typedef Superclass::MeasurementVectorDecoratedType	MeasurementVectorDecoratedType
typedef Superclass::MeasurementVectorRealType	MeasurementVectorRealType
typedef Superclass::MeasurementVectorSizeType	MeasurementVectorSizeType
typedef Superclass::MeasurementVectorType	MeasurementVectorType
typedef Superclass::OutputType	OutputType
typedef SmartPointer< Self >	Pointer
typedef Superclass::SampleType	SampleType
typedef WeightedCovarianceSampleFilter	Self
typedef CovarianceSampleFilter < TSample >	Superclass
typedef Array< double >	WeightArrayType
typedef FunctionBase < MeasurementVectorType, double >	WeightingFunctionType
Public Member Functions
	itkSetGetDecoratedInputMacro (Weights, WeightArrayType)
	itkSetGetDecoratedObjectInputMacro (WeightingFunction, WeightingFunctionType)
Protected Member Functions
void	ComputeCovarianceMatrixWithWeightingFunction ()
void	ComputeCovarianceMatrixWithWeights ()
void	GenerateData ()
void	PrintSelf (std::ostream &os, Indent indent) const
	WeightedCovarianceSampleFilter ()
virtual	~WeightedCovarianceSampleFilter ()
Private Member Functions
void	operator= (const Self &)
	WeightedCovarianceSampleFilter (const Self &)
virtual const char *	GetNameOfClass () const
virtual ::itk::LightObject::Pointer	CreateAnother (void) const
static Pointer	New ()

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Detailed Description

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

Calculates the covariance matrix of the target sample data. where each measurement vector has an associated weight value.

Weight values can be specified in two ways: using a weighting function or an array containing weight values. If none of these two is specified, the covariance matrix is generated with equal weights.

See also:

CovarianceSampleFilter

Definition at line 43 of file itkWeightedCovarianceSampleFilter.h.

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Member Typedef Documentation

template<class TSample >

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

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

Definition at line 51 of file itkWeightedCovarianceSampleFilter.h.

template<class TSample >

typedef SimpleDataObjectDecorator< WeightArrayType > itk::Statistics::WeightedCovarianceSampleFilter< TSample >::InputWeightArrayObjectType

Type of DataObjects to use for the weight array type

Definition at line 81 of file itkWeightedCovarianceSampleFilter.h.

template<class TSample >

typedef DataObjectDecorator< WeightingFunctionType > itk::Statistics::WeightedCovarianceSampleFilter< TSample >::InputWeightingFunctionObjectType

Type of DataObjects to use for Weight function

Definition at line 87 of file itkWeightedCovarianceSampleFilter.h.

template<class TSample >

typedef SimpleDataObjectDecorator< MatrixType > itk::Statistics::WeightedCovarianceSampleFilter< TSample >::MatrixDecoratedType

VariableSizeMatrix is not a DataObject, we need to decorate it to push it down a ProcessObject's pipeline

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

Definition at line 75 of file itkWeightedCovarianceSampleFilter.h.

template<class TSample >

typedef VariableSizeMatrix< double > itk::Statistics::WeightedCovarianceSampleFilter< TSample >::MatrixType

Typedef for WeightedCovariance output

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

Definition at line 68 of file itkWeightedCovarianceSampleFilter.h.

template<class TSample >

typedef Superclass::MeasurementRealType itk::Statistics::WeightedCovarianceSampleFilter< TSample >::MeasurementRealType

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

Definition at line 64 of file itkWeightedCovarianceSampleFilter.h.

template<class TSample >

typedef Superclass::MeasurementVectorDecoratedType itk::Statistics::WeightedCovarianceSampleFilter< TSample >::MeasurementVectorDecoratedType

MeasurementVector is not a DataObject, we need to decorate it to push it down a ProcessObject's pipeline

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

Definition at line 62 of file itkWeightedCovarianceSampleFilter.h.

template<class TSample >

typedef Superclass::MeasurementVectorRealType itk::Statistics::WeightedCovarianceSampleFilter< TSample >::MeasurementVectorRealType

Type of the measurement vector type

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

Definition at line 65 of file itkWeightedCovarianceSampleFilter.h.

template<class TSample >

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

Length of a measurement vector

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

Definition at line 61 of file itkWeightedCovarianceSampleFilter.h.

template<class TSample >

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

Measurement vector type

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

Definition at line 60 of file itkWeightedCovarianceSampleFilter.h.

template<class TSample >

typedef Superclass::OutputType itk::Statistics::WeightedCovarianceSampleFilter< TSample >::OutputType

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

Definition at line 63 of file itkWeightedCovarianceSampleFilter.h.

template<class TSample >

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

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

Definition at line 50 of file itkWeightedCovarianceSampleFilter.h.

template<class TSample >

typedef Superclass::SampleType itk::Statistics::WeightedCovarianceSampleFilter< TSample >::SampleType

Traits derived from the base class

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

Definition at line 55 of file itkWeightedCovarianceSampleFilter.h.

template<class TSample >

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

Standard class typedefs.

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

Definition at line 48 of file itkWeightedCovarianceSampleFilter.h.

template<class TSample >

typedef CovarianceSampleFilter< TSample > itk::Statistics::WeightedCovarianceSampleFilter< TSample >::Superclass

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

Definition at line 49 of file itkWeightedCovarianceSampleFilter.h.

template<class TSample >

typedef Array< double > itk::Statistics::WeightedCovarianceSampleFilter< TSample >::WeightArrayType

Array typedef for weights

Definition at line 78 of file itkWeightedCovarianceSampleFilter.h.

template<class TSample >

typedef FunctionBase< MeasurementVectorType, double > itk::Statistics::WeightedCovarianceSampleFilter< TSample >::WeightingFunctionType

Weight calculation function typedef

Definition at line 71 of file itkWeightedCovarianceSampleFilter.h.

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Constructor & Destructor Documentation

template<class TSample >

itk::Statistics::WeightedCovarianceSampleFilter< TSample >::WeightedCovarianceSampleFilter

(

)

[protected]

template<class TSample >

virtual itk::Statistics::WeightedCovarianceSampleFilter< TSample >::~WeightedCovarianceSampleFilter

(

)

[protected, virtual]

template<class TSample >

itk::Statistics::WeightedCovarianceSampleFilter< TSample >::WeightedCovarianceSampleFilter

(

const Self &

)

[private]

---

Member Function Documentation

template<class TSample >

void itk::Statistics::WeightedCovarianceSampleFilter< TSample >::ComputeCovarianceMatrixWithWeightingFunction

(

)

[protected]

Compute covariance matrix with weights computed from a function

template<class TSample >

void itk::Statistics::WeightedCovarianceSampleFilter< TSample >::ComputeCovarianceMatrixWithWeights

(

)

[protected]

Compute covariance matrix with weights specified in an array

template<class TSample >

virtual::itk::LightObject::Pointer itk::Statistics::WeightedCovarianceSampleFilter< TSample >::CreateAnother

(

void

)

const [virtual]

Standard Macros

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

template<class TSample >

void itk::Statistics::WeightedCovarianceSampleFilter< TSample >::GenerateData

(

void

)

[protected, virtual]

This method causes the filter to generate its output.

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

template<class TSample >

virtual const char* itk::Statistics::WeightedCovarianceSampleFilter< TSample >::GetNameOfClass

(

)

const [virtual]

Standard Macros

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

template<class TSample >

itk::Statistics::WeightedCovarianceSampleFilter< TSample >::itkSetGetDecoratedInputMacro	(	Weights	,
		WeightArrayType
	)

Method to set the input value of the weight array

template<class TSample >

itk::Statistics::WeightedCovarianceSampleFilter< TSample >::itkSetGetDecoratedObjectInputMacro	(	WeightingFunction	,
		WeightingFunctionType
	)

Method to set the weighting function

template<class TSample >

static Pointer itk::Statistics::WeightedCovarianceSampleFilter< TSample >::New

(

)

[static]

Standard Macros

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

template<class TSample >

void itk::Statistics::WeightedCovarianceSampleFilter< TSample >::operator=

(

const Self &

)

[private]

Time when GenerateOutputInformation was last called.

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

template<class TSample >

void itk::Statistics::WeightedCovarianceSampleFilter< 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::CovarianceSampleFilter< TSample >.

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

• itkWeightedCovarianceSampleFilter.h