aimsalgo  5.0.5
Neuroimaging image processing
Public Member Functions | Protected Member Functions | Protected Attributes | Static Protected Attributes | List of all members
aims::ProbabilisticPcaElement Class Reference

#include <aims/math/ppca.h>

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Public Member Functions

 ProbabilisticPcaElement (int nbOfSignificativeEV, double PIj=1.)
 
virtual ~ProbabilisticPcaElement ()
 
template<class T >
void doIt (const AimsData< T > &individuals, double distanceRef=0.)
 
template<class T >
void doIt (const std::list< Point3d > &selectedPoints, const AimsData< T > &data, double distanceRef=0.)
 
void setPIj (double PIj)
 
double distance (const AimsData< double > &individual)
 
double posteriorProbability (const AimsData< double > &individual, double pX)
 
double lnPosteriorProbability (const AimsData< double > &individual)
 
const AimsData< double > & mean () const
 
double noiseVariance () const
 
template<class T >
double noiseVariance (const AimsData< T > &individuals, double &normMean) const
 
double meanNorm ()
 
const AimsData< double > & eigenValues ()
 
const AimsData< double > & selectedEigenVectors ()
 
double normFactor () const
 

Protected Member Functions

double exponential (double x)
 

Protected Attributes

double _distanceRef
 
bool _computed
 
bool _valid
 
int _nbOfSignificantEV
 
double _PIj
 
AimsFastAllocationData< double > _mean
 
double _meanMean
 
double _meanNorm
 
AimsFastAllocationData< double > _x
 
AimsFastAllocationData< double > _xT
 
AimsFastAllocationData< double > _Wi
 
AimsFastAllocationData< double > _invCi
 
AimsFastAllocationData< double > _EValues
 
AimsFastAllocationData< double > _EVect
 
double _Sigma2
 
double _detCi
 
double _normFactor
 
double _lnAddFactor
 

Static Protected Attributes

static double * _exp
 

Detailed Description

Definition at line 44 of file ppca.h.

Constructor & Destructor Documentation

◆ ProbabilisticPcaElement()

aims::ProbabilisticPcaElement::ProbabilisticPcaElement ( int  nbOfSignificativeEV,
double  PIj = 1. 
)

◆ ~ProbabilisticPcaElement()

virtual aims::ProbabilisticPcaElement::~ProbabilisticPcaElement ( )
inlinevirtual

Definition at line 48 of file ppca.h.

References doIt().

Member Function Documentation

◆ distance()

double aims::ProbabilisticPcaElement::distance ( const AimsData< double > &  individual)
inline

Definition at line 182 of file ppca.h.

References _computed, _distanceRef, _invCi, _mean, _valid, AimsData< T >::dimX(), and sum().

Referenced by lnPosteriorProbability(), posteriorProbability(), and setPIj().

◆ doIt() [1/2]

template<typename T >
void aims::ProbabilisticPcaElement::doIt ( const AimsData< T > &  individuals,
double  distanceRef = 0. 
)

Definition at line 87 of file ppca_d.h.

References _computed, _detCi, _distanceRef, _EValues, _EVect, _invCi, _lnAddFactor, _mean, _nbOfSignificantEV, _normFactor, _PIj, _Sigma2, _valid, _Wi, _x, _xT, AimsData< T >::clone(), AimsData< T >::cross(), aims::meshdistance::cross(), AimsData< T >::dimT(), AimsData< T >::dimX(), AimsData< T >::dimY(), AimsData< T >::dimZ(), AimsSVD< T >::doit(), ForEach2d, AimsData< T >::maximum(), AimsSVD< T >::setReturnType(), AimsSVD< T >::sort(), AimsData< T >::transpose(), and aims::Writer< T >::write().

Referenced by doIt(), aims::ProbabilisticPca< T >::ProbabilisticPca(), and ~ProbabilisticPcaElement().

◆ doIt() [2/2]

template<typename T >
void aims::ProbabilisticPcaElement::doIt ( const std::list< Point3d > &  selectedPoints,
const AimsData< T > &  data,
double  distanceRef = 0. 
)

Definition at line 54 of file ppca_d.h.

References _computed, _valid, AimsData< T >::dimT(), doIt(), aims::meshdistance::max(), and mean().

◆ eigenValues()

const AimsData<double>& aims::ProbabilisticPcaElement::eigenValues ( )
inline

Definition at line 87 of file ppca.h.

References _EValues.

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

◆ exponential()

double aims::ProbabilisticPcaElement::exponential ( double  x)
inlineprotected

Definition at line 94 of file ppca.h.

◆ lnPosteriorProbability()

double aims::ProbabilisticPcaElement::lnPosteriorProbability ( const AimsData< double > &  individual)
inline

Definition at line 258 of file ppca.h.

References _computed, _distanceRef, _invCi, _lnAddFactor, _mean, _valid, AimsData< T >::dimX(), distance(), std::numeric_limits< class >::max(), and sum().

Referenced by setPIj().

◆ mean()

const AimsData<double>& aims::ProbabilisticPcaElement::mean ( ) const
inline

Definition at line 77 of file ppca.h.

References _mean.

Referenced by doIt(), and noiseVariance().

◆ meanNorm()

double aims::ProbabilisticPcaElement::meanNorm ( )
inline

Definition at line 85 of file ppca.h.

References _meanNorm.

◆ noiseVariance() [1/2]

double aims::ProbabilisticPcaElement::noiseVariance ( ) const
inline

Definition at line 78 of file ppca.h.

References _Sigma2.

◆ noiseVariance() [2/2]

template<class T >
double aims::ProbabilisticPcaElement::noiseVariance ( const AimsData< T > &  individuals,
double &  normMean 
) const

Definition at line 343 of file ppca_d.h.

References _nbOfSignificantEV, AimsData< T >::dimX(), AimsData< T >::dimY(), AimsSVD< T >::doit(), ForEach2d, mean(), AimsSVD< T >::setReturnType(), and AimsSVD< T >::sort().

◆ normFactor()

double aims::ProbabilisticPcaElement::normFactor ( ) const
inline

Definition at line 90 of file ppca.h.

References _normFactor.

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

◆ posteriorProbability()

double aims::ProbabilisticPcaElement::posteriorProbability ( const AimsData< double > &  individual,
double  pX 
)
inline

Definition at line 218 of file ppca.h.

References _computed, _distanceRef, _exp, _invCi, _mean, _normFactor, _PIj, _valid, AimsData< T >::dimX(), distance(), and sum().

Referenced by setPIj().

◆ selectedEigenVectors()

const AimsData<double>& aims::ProbabilisticPcaElement::selectedEigenVectors ( )
inline

Definition at line 88 of file ppca.h.

References _EVect.

◆ setPIj()

void aims::ProbabilisticPcaElement::setPIj ( double  PIj)
inline

Definition at line 58 of file ppca.h.

References _computed, _detCi, _lnAddFactor, _PIj, distance(), lnPosteriorProbability(), and posteriorProbability().

Member Data Documentation

◆ _computed

bool aims::ProbabilisticPcaElement::_computed
protected

Definition at line 103 of file ppca.h.

Referenced by distance(), doIt(), lnPosteriorProbability(), posteriorProbability(), and setPIj().

◆ _detCi

double aims::ProbabilisticPcaElement::_detCi
protected

Definition at line 120 of file ppca.h.

Referenced by doIt(), and setPIj().

◆ _distanceRef

double aims::ProbabilisticPcaElement::_distanceRef
protected

Definition at line 102 of file ppca.h.

Referenced by distance(), doIt(), lnPosteriorProbability(), aims::ProbabilisticPca< T >::nbOfClasses(), and posteriorProbability().

◆ _EValues

AimsFastAllocationData<double> aims::ProbabilisticPcaElement::_EValues
protected

Definition at line 116 of file ppca.h.

Referenced by doIt(), and eigenValues().

◆ _EVect

AimsFastAllocationData<double> aims::ProbabilisticPcaElement::_EVect
protected

Definition at line 117 of file ppca.h.

Referenced by doIt(), and selectedEigenVectors().

◆ _exp

double* aims::ProbabilisticPcaElement::_exp
staticprotected

Definition at line 93 of file ppca.h.

Referenced by posteriorProbability().

◆ _invCi

AimsFastAllocationData<double> aims::ProbabilisticPcaElement::_invCi
protected

Definition at line 115 of file ppca.h.

Referenced by distance(), doIt(), lnPosteriorProbability(), and posteriorProbability().

◆ _lnAddFactor

double aims::ProbabilisticPcaElement::_lnAddFactor
protected

Definition at line 122 of file ppca.h.

Referenced by doIt(), lnPosteriorProbability(), and setPIj().

◆ _mean

AimsFastAllocationData<double> aims::ProbabilisticPcaElement::_mean
protected

Definition at line 108 of file ppca.h.

Referenced by distance(), doIt(), lnPosteriorProbability(), mean(), and posteriorProbability().

◆ _meanMean

double aims::ProbabilisticPcaElement::_meanMean
protected

Definition at line 109 of file ppca.h.

◆ _meanNorm

double aims::ProbabilisticPcaElement::_meanNorm
protected

Definition at line 110 of file ppca.h.

Referenced by meanNorm().

◆ _nbOfSignificantEV

int aims::ProbabilisticPcaElement::_nbOfSignificantEV
protected

Definition at line 105 of file ppca.h.

Referenced by doIt(), and noiseVariance().

◆ _normFactor

double aims::ProbabilisticPcaElement::_normFactor
protected

Definition at line 121 of file ppca.h.

Referenced by doIt(), normFactor(), and posteriorProbability().

◆ _PIj

double aims::ProbabilisticPcaElement::_PIj
protected

Definition at line 106 of file ppca.h.

Referenced by doIt(), aims::ProbabilisticPca< T >::nbOfClasses(), posteriorProbability(), and setPIj().

◆ _Sigma2

double aims::ProbabilisticPcaElement::_Sigma2
protected

Definition at line 118 of file ppca.h.

Referenced by doIt(), and noiseVariance().

◆ _valid

bool aims::ProbabilisticPcaElement::_valid
protected

Definition at line 104 of file ppca.h.

Referenced by distance(), doIt(), lnPosteriorProbability(), and posteriorProbability().

◆ _Wi

AimsFastAllocationData<double> aims::ProbabilisticPcaElement::_Wi
protected

Definition at line 114 of file ppca.h.

Referenced by doIt().

◆ _x

AimsFastAllocationData<double> aims::ProbabilisticPcaElement::_x
protected

Definition at line 111 of file ppca.h.

Referenced by doIt().

◆ _xT

AimsFastAllocationData<double> aims::ProbabilisticPcaElement::_xT
protected

Definition at line 112 of file ppca.h.

Referenced by doIt().

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