Question: (d) Suppose we apply the kernel trick with a kernel function k to the nearest neighbor algorithm (with L2 distance in the new feature space).

(d) Suppose we apply the kernel trick with a kernel function k to the nearest neighbor algorithm (with L2 distance in the new feature space). What is the nearest neighbor of a new data point x from a training set S = {x1, ..., *N )? (A) argminx ES k(n, In) + k(x, x) + 2k(Xn, x) (B) argminxnes k(an, x) (C) argminx ES K(In, Xn) - 2k(Xn, x) (D) None of the above Ans. (2 points)

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