Data structure for each multvariate Gaussian, including parameters and covariance matrix products used in calculations. More...

#include <glass_gmm.h>

Public Attributes
size_t	size
	dimension of mvg

gsl_vector *	mu
	means

gsl_matrix *	C
	covariance matrix

gsl_matrix *	L
	LU decomposition of C: \( C = LL^{-1}\).

gsl_matrix *	Cinv
	inverse covariance matrix

gsl_matrix *	evectors
	eigenvectors

gsl_vector *	evalues
	eigenvalues

gsl_matrix *	minmax
	min and max range for samples

double	detC
	determinant of covariance matrix

double	p
	prior for Mode (i.e. weighting)

double	Neff
	effective number of samples in mode

Detailed Description

Data structure for each multvariate Gaussian, including parameters and covariance matrix products used in calculations.

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

Public Attributes