3) (20 pts) (Starting with two cluster centers indicated by squares, perform k- means clustering on the six data points (denoted by x). In each panel, indicate the data assignment and in the next panel show the new cluster means. Stop when converged or after 6 steps whichever comes first. (using Euclidean distance measure). 3 2 3 3 2 3 4 3. 2 2 3. 2.