aims::ProbabilisticPca< T > Class Template Reference

#include <aims/math/ppca.h>

Public Member Functions
	ProbabilisticPca (const AimsData< T > &data, const std::vector< std::list< Point3d > > &classes, int nbOfSignificantEigenValues, const std::vector< double > &PIj=std::vector< double >())
	~ProbabilisticPca ()
std::vector< double >	posteriorProbabilities (const AimsData< double > &x, double px, std::vector< double > &maxProbaByClass)
std::vector< double >	andersonScores (const AimsData< double > &x, double px, std::vector< double > &maxProbaByClass)
int	affectedTo (const AimsData< double > &x)
bool	classification (const AimsData< T > &dynamicImage, const AimsData< byte > &mask, AimsData< short > &segmented)
bool	fuzzyClassification (const AimsData< T > &dynamicImage, const AimsData< byte > &mask, AimsData< float > &fuzzySegmented, double thresholdOnMaxPercentage=0., double andersonScoreThreshold=0.2, const AimsData< double > &indivPriorProbabilities=aims::AimsFastAllocationData< double >())
float	posteriorProbability (const AimsData< double > &x, float pX, unsigned int classNb)
double	pX (const AimsData< double > &x)
short	nbOfClasses () const

Detailed Description

template<class T>
class aims::ProbabilisticPca< T >

Definition at line 127 of file ppca.h.

Constructor & Destructor Documentation

ProbabilisticPca()

template<class T >

aims::ProbabilisticPca< T >::ProbabilisticPca	(	const AimsData< T > &	data,
		const std::vector< std::list< Point3d > > &	classes,
		int	nbOfSignificantEigenValues,
		const std::vector< double > &	PIj = std::vector<double>()
	)

Definition at line 416 of file ppca_d.h.

References aims::ProbabilisticPcaElement::doIt(), aims::ProbabilisticPcaElement::eigenValues(), norm2(), aims::ProbabilisticPcaElement::normFactor(), and aims::Writer< T >::write().

~ProbabilisticPca()

template<class T >

aims::ProbabilisticPca< T >::~ProbabilisticPca ( )

inline

Definition at line 135 of file ppca.h.

References aims::mask().

Member Function Documentation

affectedTo()

template<class T >

int aims::ProbabilisticPca< T >::affectedTo

(

const AimsData< double > &

x

)

Definition at line 561 of file ppca_d.h.

Referenced by aims::ProbabilisticPca< T >::classification().

andersonScores()

template<class T >

std::vector< double > aims::ProbabilisticPca< T >::andersonScores	(	const AimsData< double > &	x,
		double	px,
		std::vector< double > &	maxProbaByClass
	)

Definition at line 504 of file ppca_d.h.

Referenced by aims::ProbabilisticPca< T >::fuzzyClassification().

classification()

template<class T >

bool aims::ProbabilisticPca< T >::classification	(	const AimsData< T > &	dynamicImage,
		const AimsData< byte > &	mask,
		AimsData< short > &	segmented
	)

Definition at line 583 of file ppca_d.h.

References aims::ProbabilisticPca< T >::affectedTo(), AimsData< T >::dimT(), AimsData< T >::dimX(), AimsData< T >::dimY(), AimsData< T >::dimZ(), ForEach3d, aims::mask(), and AimsData< T >::setSizeXYZT().

fuzzyClassification()

template<class T >

bool aims::ProbabilisticPca< T >::fuzzyClassification	(	const AimsData< T > &	dynamicImage,
		const AimsData< byte > &	mask,
		AimsData< float > &	fuzzySegmented,
		double	thresholdOnMaxPercentage = 0.,
		double	andersonScoreThreshold = 0.2,
		const AimsData< double > &	indivPriorProbabilities = aims::AimsFastAllocationData<double>()
	)

Definition at line 620 of file ppca_d.h.

References aims::ProbabilisticPca< T >::andersonScores(), AimsData< float >::dimT(), AimsData< T >::dimT(), AimsData< float >::dimX(), AimsData< T >::dimX(), AimsData< float >::dimY(), AimsData< T >::dimY(), AimsData< float >::dimZ(), AimsData< T >::dimZ(), ForEach3d, aims::mask(), aims::meshdistance::max(), norm(), AimsData< float >::setSizeXYZT(), and aims::Writer< T >::write().

nbOfClasses()

template<class T >

short aims::ProbabilisticPca< T >::nbOfClasses ( ) const

inline

Definition at line 167 of file ppca.h.

References aims::ProbabilisticPcaElement::_distanceRef, aims::ProbabilisticPcaElement::_PIj, and norm2().

posteriorProbabilities()

template<class T >

std::vector< double > aims::ProbabilisticPca< T >::posteriorProbabilities	(	const AimsData< double > &	x,
		double	px,
		std::vector< double > &	maxProbaByClass
	)

Definition at line 535 of file ppca_d.h.

posteriorProbability()

template<class T >

float aims::ProbabilisticPca< T >::posteriorProbability ( const AimsData< double > &  x, float  pX, unsigned int  classNb  )

inline

Definition at line 157 of file ppca.h.

Referenced by aims::ProbabilisticPca< T >::pX().

pX()

template<class T >

double aims::ProbabilisticPca< T >::pX

(

const AimsData< double > &

x

)

Definition at line 722 of file ppca_d.h.

References aims::ProbabilisticPca< T >::posteriorProbability().

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

• aims/math/ppca.h
• aims/math/ppca_d.h