3. (Total: 6 points) Recall our discussion of machine learning application in class, and the specific problem of evaluation. We have customer information based on age and income, and normalize the information. Customer Age Income John 0.35 0.35 Rachel 0.34 0.25 Hannah 1 0.70 Bentancur 0.81 0.48 Tom 0.93 1 Nellie 0.39 0.2 Kane 0.27 0.55 David 0.78 0.25 In order to group our customers into 2 clusters, we want to randomly select the two initial centroids and let's say those are: initial centroid 1: John and initial centroid 2 David. Our goal is to find two centroid and customers who belong to each of the centroids after 2 iterations. Please fill out these contingency tables.