?? gauss.m
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function y = gauss(mu, covar, x)
%GAUSS Evaluate a Gaussian distribution.
%
% Description
%
% Y = GAUSS(MU, COVAR, X) evaluates a multi-variate Gaussian density
% in D-dimensions at a set of points given by the rows of the matrix X.
% The Gaussian density has mean vector MU and covariance matrix COVAR.
%
% See also
% GSAMP, DEMGAUSS
%
% Copyright (c) Ian T Nabney (1996-2001)
[n, d] = size(x);
[j, k] = size(covar);
% Check that the covariance matrix is the correct dimension
if ((j ~= d) | (k ~=d))
error('Dimension of the covariance matrix and data should match');
end
invcov = inv(covar);
mu = reshape(mu, 1, d); % Ensure that mu is a row vector
x = x - ones(n, 1)*mu;
fact = sum(((x*invcov).*x), 2);
y = exp(-0.5*fact);
y = y./sqrt((2*pi)^d*det(covar));
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