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please use Matlab to do this question 3. Suppose that we have two classes with prior probabilities p(C1) and p(C2), and that we wish to
please use Matlab to do this question
3. Suppose that we have two classes with prior probabilities p(C1) and p(C2), and that we wish to design a classifier for these classes based on a two dimensional feature vector, x, we assume that the class conditional densities are given by Gaussians, p(x C1) and p(x C2), which have means mi, mi and covariance matrices and . . For the following cases, give (a) The equation for the decision boundary (b) A plot showing the decision boundary, the location of the two means, and the covariance ellipses of the two classes where x''s-1 . 1 0P(C1) 0.5 wherel0PC2) 0.5 0 P(C1) 0.5 P(C2) 0.5 2Step by Step Solution
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