Using the same data as in Problem 2 except 4 Σ = 3 4 3 and Σ2 = 33. find the linear discriminant function which maximizes the Fisher criterion, and minimize the error by adjusting the threshold. Problem 2 2. Two normal distributions are characterized by M₁ -D. M₂-td. P₁ = P₂ = 0.5, H. = = Σ₁ = {₂ 3 4 Calculate the errors due to the Bayes classifier and the bisector.