The standard normal distribution has zero mean and unit standard deviation. The second parameter, σ, is the standard deviation. The normal distribution is a two-parameter family of curves. specifies the F robenius norm (the Euclidean norm of x treated as if. specifies the i nfinity norm (maximum absolute row sum) 'F' or 'f'. specifies the o ne norm, (maximum absolute column sum) 'I' or 'i'. A character indicating the type of norm desired. character string, specifying the type of matrix norm to be computed. Using your code to begin: % number of data points (trying to harcode less values) n_points = 100 data = x_Clusters = y_Clusters = Coordinates_Of_Clusters = % number of. 2 Comments Show 1 older comment Hide 1 older commentThe funtion norm(X) is the same as norm(X,2).Matlab uses the 2-norm (Euclidean distance) by default. For any nx3 matrix, M, say with row elements, the norm, d, of each row .Take the 2-norm (the second input) in dimension 2 (the third input) of the cross product (the first input) you pass into vecnorm. Norm matlab Why not use linear algebra? That's where Matlab shines.