For variance, use sigma^2 = 1

Suppose you have the following training examples, described by three attributes, x1, 2,3, and labeled by classes c and c2 xi x2X3 Class 2.1 0.23.0ci 3.3 1.0 2.9 C 2.7 1.2 3.4 CI 0.5 5.3 0.0 2 1.5 4.7 0.5 c2 Using these data, do the following: (a) Assuming that the attributes are mutually independent, approximate the following probability density functions: Pci (x).Pc2 (x).p(x). Hint: use the idea of superimposed bell functions. (b) Using the pdf's from the previous step, decide whether x1.4,3.3, 3.0] should belong to ci or c2