Question: Consider a k-nearest neighbor classifier using Euclidean distance metric on a binary classification task. We assign the class of the test point to be the

Consider a k-nearest neighbor classifier using Euclidean distance metric on a binary classification task. We assign the class of the test point to be the class of the majority of the k nearest neighbors. Note that a point can be its own neighbor. Suppose k=3.

Consider a k-nearest neighbor classifier using Euclidean distance metric on a binary

Coordinate of new point is (A, B). Predict the category of the new point according to K-NN algorithm. Clearly mention all steps and calculations.

Where,

A= 2 B= 3

10 8 6 4 3 2 1 + 0 1 N 3 4 5 6 7 8 9 10

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