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(⋆) The nearest-neighbour classifier (Section 2.5.2) assigns a new input vector x to the same class as that of the nearest input vector 𝐱n from the training set, where in the simplest case, the distance is defined by the Euclidean metric 𝐱-𝐱n^2 . By expressing this rule in terms of scalar products and then making use of kernel substitution, formulate the nearest-neighbour classifier for a general nonlinear kernel. | Numerade
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