Structure encapsulating the parameters of a Gaussian_sjsk mixture model. More...

#include <STK_DiagGaussianParameters.h>

Public Member Functions
	ModelParameters (int nbCluster)
	default constructor

	ModelParameters (ModelParameters const &param)
	copy constructor.

	~ModelParameters ()
	destructor

Real const &	mean (int k, int j) const

Real	sigma (int k, int j) const

void	resize (Range const &range)
	resize the set of parameter

void	updateStatistics ()
	update statistics of the parameters.

void	setStatistics ()
	Set the computed statistics.

void	releaseStatistics ()
	Release the computed statistics.

template<class Array >
void	setParameters (ExprBase< Array > const &params)
	Set the parameters of the mixture model.

Public Attributes
Array1D< CPointX >	mean_
	array of size nbCluster with the parameters mean of the variables

CVectorX	sigmak_
	standard deviation of the variables

CPointX	sigmaj_
	standard deviation of the variables by variables

Array1D< Stat::Online< CPointX, Real > >	stat_mean_
	Array of the mean statistics.

Stat::Online< Real, Real >	stat_sigmak_
	Array of the standard deviation k statistics.

Stat::Online< CPointX, Real >	stat_sigmaj_
	Array of the standard deviation j statistics.

Detailed Description

Structure encapsulating the parameters of a Gaussian_sjsk mixture model.

Definition at line 312 of file STK_DiagGaussianParameters.h.

Constructor & Destructor Documentation

◆ ModelParameters() [1/2]

STK::ModelParameters< Clust::Gaussian_sjsk_ >::ModelParameters ( int nbCluster )

default constructor

Parameters

nbCluster the number of class of the mixture

◆ ModelParameters() [2/2]

STK::ModelParameters< Clust::Gaussian_sjsk_ >::ModelParameters ( ModelParameters< Clust::Gaussian_sjsk_ > const & param )

copy constructor.

Parameters

param the parameters to copy.

◆ ~ModelParameters()

STK::ModelParameters< Clust::Gaussian_sjsk_ >::~ModelParameters ( )

destructor

Member Function Documentation

◆ mean()

Real const & STK::ModelParameters< Clust::Gaussian_sjsk_ >::mean	(	int	k,
		int	j
	)		const

inline

Returns: the mean of the kth cluster and jth variable

Definition at line 339 of file STK_DiagGaussianParameters.h.

339{ return mean_[k][j];}

STK::ModelParameters< Clust::Gaussian_sjsk_ >::mean_

Array1D< CPointX > mean_

array of size nbCluster with the parameters mean of the variables

Definition STK_DiagGaussianParameters.h:315

◆ releaseStatistics()

void STK::ModelParameters< Clust::Gaussian_sjsk_ >::releaseStatistics ( )

Release the computed statistics.

◆ resize()

void STK::ModelParameters< Clust::Gaussian_sjsk_ >::resize ( Range const & range )

resize the set of parameter

◆ setParameters()

template<class Array >

void STK::ModelParameters< Clust::Gaussian_sjsk_ >::setParameters ( ExprBase< Array > const & params )

inline

Set the parameters of the mixture model.

It is assumed that the array params is of size (2*nbCluster, nbVariable).

Definition at line 357 of file STK_DiagGaussianParameters.h.

    {
      CArrayXX sigma(mean_.range(), params.cols());
      for(int k=mean_.begin(), kp= params.beginRows(); k<mean_.end(); ++k, kp+=2)
      {
          mean_[k]     = params.row(kp);
          sigma.row(k) = params.row(kp+1);
      }
      sigmak_ = Stat::meanByRow(sigma.asDerived());
      sigmaj_ = Stat::meanByCol(sigma.asDerived());
      Real cte = std::sqrt((sigma/(sigmak_ * sigmaj_)).mean());
      sigmak_ *= cte;
      sigmaj_ *= cte;
    }