Mathematics, 22.02.2020 01:41 bear342
Generate 2000 points from two equally weighted sphericalGaussiansN(0, I), N((3,0, . . . ,0), I) inRp, p= 1,11,21, . . .101 (note, youhave to first flip a coin to decide from which Gaussian to sample), whereIis the identity matrix and the centers of Gaussians are distance 3 apart. Implement 1-NN and 3-NN classifiers. Test the resulting classifier on aseparately generated dataset with 1000 pts. Plot the error rate as a functionofp. Observations?
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Generate 2000 points from two equally weighted sphericalGaussiansN(0, I), N((3,0, . . . ,0), I) inRp...
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