Question 3. Given the following training samples from two classes: Class 1: (1, 1), (2, 2), (2, 0)* Class 2: (0, 0), (1,
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Question 3. Given the following training samples from two classes: Class 1: (1, 1), (2, 2), (2, 0)* Class 2: (0, 0), (1,
Question 3. Given the following training samples from two classes: Class 1: (1, 1), (2, 2), (2, 0)* Class 2: (0, 0), (1, 0), (0, 1) (1) Are the two classes linearly separable? (2) Use the Pseudoinverse Approach to find two linear decision boundaries by using the following two vectors for b. (1, 1, 1, 1, 1, 1), (1, 1, 1, 1, 1, 2), (You may use any tool to computer matrix inversion.) (3) Verify if the solutions from (2) can indeed classify the samples correctly.