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The perceptron is a linear classifier that separates the data, in any dimension, through hyper planes. If the dimension is 2 , for example, the

The perceptron is a linear classifier that separates the data, in any dimension, through hyper planes. If the dimension is 2, for example, the perceptron uses lines in R2 to perform the classification.
Part A: Instead of a cube, consider a sphere with radius =2 and center at (0,0,0). Explain why a perceptron would not be an optimum method in the case of a sphere.
Part B: Consider a hypothetical case where you had to use a perceptron with a sphere. Explain how you would solve the problem, including the design of the perceptron with your answer.

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