Question: Decision Boundary. Assuming the following observations from two classes (1 and 2) are drawn from multivariate Gaussian distributions: There are 8 3-D points belonging to

Decision Boundary. Assuming the following observations from two classes (1 and 2) are drawn from multivariate Gaussian distributions:

Decision Boundary. Assuming the following observations from two classes (1 and 2)

There are 8 3-D points belonging to 2 classes: Class W1:(0,0,1)T,(0,1,1)T,(1,1,1)T,(0,1,0)T. Class W2:(0,0,0)T,(1,0,1)T,(1,0,0)T,(1,1,0)T. Questions: (1) What is the decision boundary? Is it a hyper plane? (2) Please draw 3-D figure to label 2 classes \& the approximated decision plane

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