Class 1 has data points 1 , 2 , 3 while 5 , 3 , 2 belong to class 2 a ) What are the augmented vectors b ) Show the solution region in the weight space c ) Starting with zero initial weights and using single sample perceptron algorithm, obtain a linear discriminant function that separates the two classes Let 1

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Question: Class 1 has data points { 1 , 2 , 3 } while { - 5 , - 3 , - 2 } belong to

Class

_{1}

has data points

{1, 2, 3}

while

{- 5, - 3, - 2}

belong to class

_{2} .

)

What are the augmented vectors?

)

Show the solution region in the weight space.

)

Starting with zero initial weights and using single sample perceptron algorithm, obtain a linear discriminant function that separates the two classes. Let

= 1 .

Class 1 has data points {1,2,3} while {-5,-3,-2} belong to class

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