The nearest-neighbour classifierassigns a new input vector x to the same class as that of thenearest input vector xn from the training set, where inthe simplest case, the distance is defined by the Euclidean metric|| x – xn ||2. By expressing this rule interms of scalar products and then making use of kernelsubstitution, formulate the nearest-neighbour classifier for ageneral nonlinear kernel.
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