1. For a 2-class nearest-means classifier (NMC) based on D features, and for given mean vectors 1,2 : (a) Give an algebraic expression for the decision boundary and for the decision rule. Simplify as much as possible. Is the classifier linear? (b) If the classifier is linear, starting from the general expression for a 2-class discriminant function g(x) for a linear classifier, find an expression for the weights for the NMC in terms of the mean vectors 1,2. (c) If the classifier is not linear, then write an expression for a nonlinear function g(x) with weight for coefficients of each term. Then find expressions for the weights of the NMC in terms of 1,2