?? rjgaussian.m
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function [y] = rjGaussian(mu,x);% if nargin < 2, error('Not enough input arguments.'); end[N,d] = size(x); % N = number of data, d = dimension of x.y=zeros(N,1);for j=1:N, z=norm(x(j,:)-mu(1,:)); % Euclidean distance. y(j,1)=exp(-(16*16)*z.^(2)); % Gaussian with fixed width for exp. 1.% y(j,1)=exp(-(0.5)*inv(.00001)*z.^(2)); % Gaussian.end;
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