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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