There are four class centered at (3, 3), (3, − 3), (− 3, − 3), (− 3, 3). The data points are 2-dimensional independent Gaussian with the variance of 1.5. Simulate 250 points for each class. 10 points from each class are used as training samples.

hw_without.m

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