You are given feature vectors x1 from class #1 and feature vectors x2 from class #2. The training set consists of the following points:
Class 1 points: {(11,11), (13,11), (8,10), (9,9), (7,7), (7,5), (15,3)) Class 2 points: {(7,11), (15,9), (15,7), (13,5), (14,5), (9,3), (11,3)}
i) Draw a scatter plot (a Cartesian coordinates to display values for the two variables of the given dataset using symbol (x) for class 1 and Symbol (o) for class 2].
ii) Are the two classes linearly separable? Please explain using a suitable graph.
iii) Sketch the decision boundary that you would get using a 1NN classifier.
iv) Classify sample (14,3) using the nearest neighbor classifier for K=1..
v) Classify sample (14,3) using the nearest neighbor classifier for K=3.