Apply K-Means clustering algorithm to the following 2-d data set for k=2. Start with m1(0)=(0,0), and m2(0)=(4,3) as the initial centroids. Use the figures provided above to mark the centroids and the cluster membership after each iteration. Use as many figures as needed to work through iterations. Use city-block distance to compute the distances.

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