Question: Matlab Code Normal distribution and discriminant functions a) a procedure to generate random samples according to a normal distribution N(, ) in d dimensions. b)

Matlab Code

Normal distribution and discriminant functions

a) a procedure to generate random samples according to a normal

distribution N(, ) in d dimensions.

b) a procedure to calculate the log discriminant function for a given

multi-variate Gaussian distribution and prior probability.

c) a procedure to calculate the Euclidean distance between two

arbitrary points

d) a procedure to calculate the Mahalanobis distance between the

mean and an arbitrary point x, given the covariance matrix .

Apply the above procedures to at least 3 datasets that you will generate in

the first step.

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