Functions for fitting Gaussian distributions to a set of samples. More...

#include <bsta/bsta_gaussian.h>
#include <bsta/bsta_gaussian_sphere.h>
#include <bsta/bsta_gaussian_indep.h>
#include <bsta/bsta_gaussian_full.h>
#include <bsta/bsta_mixture.h>
#include <bsta/bsta_attributes.h>
#include <vcl_iostream.h>

Functions
template<class T >
void	bsta_fit_gaussian (vcl_vector< T > const &samples, vcl_vector< T > const &sample_weights, bsta_gaussian_sphere< T, 1 > &gaussian)
	fit a 1D Gaussian distribution to a set of weighted samples.
template<class T , unsigned n>
void	bsta_fit_gaussian (vcl_vector< vnl_vector_fixed< T, n > > const &samples, vcl_vector< T > const &sample_weights, bsta_gaussian_sphere< T, n > &gaussian)
	fit a N-D spherical Gaussian distribution to a set of weighted samples.
template<class T , unsigned n>
void	bsta_fit_gaussian (vcl_vector< vnl_vector_fixed< T, n > > const &samples, vcl_vector< T > const &sample_weights, bsta_gaussian_indep< T, n > &gaussian)
	fit a N-D independent Gaussian distribution to a set of weighted samples.
template<class T , unsigned n>
void	bsta_fit_gaussian (vcl_vector< vnl_vector_fixed< T, n > > const &samples, vcl_vector< T > const &sample_weights, bsta_gaussian_full< T, n > &gaussian)
	fit a N-D Gaussian distribution with full covariance to a set of weighted samples.
template<class T >
T	clip_covar (T var, T min_var)
template<class T , unsigned n>
vnl_vector_fixed< T, n >	clip_covar (vnl_vector_fixed< T, n > covar, vnl_vector_fixed< T, n > min_covar)
template<class T , unsigned n>
vnl_matrix_fixed< T, n, n >	clip_covar (vnl_matrix_fixed< T, n, n > covar, vnl_matrix_fixed< T, n, n > min_covar)
template<class gauss_type >
void	bsta_fit_gaussian (vcl_vector< typename gauss_type::vector_type > const &samples, vcl_vector< typename gauss_type::math_type > const &sample_probs, vcl_vector< typename gauss_type::math_type > const &prob_densities_other, gauss_type &gaussian, typename gauss_type::covar_type min_covar)

Detailed Description

Functions for fitting Gaussian distributions to a set of samples.

Author:: Daniel Crispell (daniel_crispell@brown.edu)

Date:: February 9, 2010

    Modifications

Definition in file bsta_fit_gaussian.h.

Function Documentation

template<class T >

void bsta_fit_gaussian	(	vcl_vector< T > const &	samples,
		vcl_vector< T > const &	sample_weights,
		bsta_gaussian_sphere< T, 1 > &	gaussian
	)

fit a 1D Gaussian distribution to a set of weighted samples.

Definition at line 25 of file bsta_fit_gaussian.h.

template<class T , unsigned n>

void bsta_fit_gaussian	(	vcl_vector< vnl_vector_fixed< T, n > > const &	samples,
		vcl_vector< T > const &	sample_weights,
		bsta_gaussian_sphere< T, n > &	gaussian
	)

fit a N-D spherical Gaussian distribution to a set of weighted samples.

Definition at line 73 of file bsta_fit_gaussian.h.

template<class T , unsigned n>

void bsta_fit_gaussian	(	vcl_vector< vnl_vector_fixed< T, n > > const &	samples,
		vcl_vector< T > const &	sample_weights,
		bsta_gaussian_indep< T, n > &	gaussian
	)

fit a N-D independent Gaussian distribution to a set of weighted samples.

Definition at line 119 of file bsta_fit_gaussian.h.

template<class T , unsigned n>

void bsta_fit_gaussian	(	vcl_vector< vnl_vector_fixed< T, n > > const &	samples,
		vcl_vector< T > const &	sample_weights,
		bsta_gaussian_full< T, n > &	gaussian
	)

fit a N-D Gaussian distribution with full covariance to a set of weighted samples.

Definition at line 164 of file bsta_fit_gaussian.h.

template<class gauss_type >

void bsta_fit_gaussian	(	vcl_vector< typename gauss_type::vector_type > const &	samples,
		vcl_vector< typename gauss_type::math_type > const &	sample_probs,
		vcl_vector< typename gauss_type::math_type > const &	prob_densities_other,
		gauss_type &	gaussian,
		typename gauss_type::covar_type	min_covar
	)

Definition at line 239 of file bsta_fit_gaussian.h.

template<class T >

T clip_covar	(	T	var,
		T	min_var
	)

Definition at line 208 of file bsta_fit_gaussian.h.

template<class T , unsigned n>

vnl_vector_fixed<T,n> clip_covar	(	vnl_vector_fixed< T, n >	covar,
		vnl_vector_fixed< T, n >	min_covar
	)

Definition at line 213 of file bsta_fit_gaussian.h.

template<class T , unsigned n>

vnl_matrix_fixed<T,n,n> clip_covar	(	vnl_matrix_fixed< T, n, n >	covar,
		vnl_matrix_fixed< T, n, n >	min_covar
	)

Definition at line 224 of file bsta_fit_gaussian.h.