The nearestneighbour classier (see Section 2.5.2 in the Bishop's Pattern Recognition and Machine Learning book) assigns a new input vector x to the same class as that of the nearest input vector x.\" from the training set, where in the simplest case, the distance is dened by the Euclidean metric ||x x\" H2 By expressing this rule in terms of scalar products and then making use of kernel substitution, formulate the nearest-neighbour classier for a general nonlinear kernel (Hint: replace scalar products by kernels)