Extract kmeandata from cluster_data. mat as your dataset. a. Initialize the cluster centers (the means) at (-2,-2) and (4,4) b. Calculate the distance between each data point and each center (you should have an array containing a row for every data point and a distance value for each cluster mean). c. Assign each data point with the label of its nearest cluster (cluster_ind) d. Plot the clustered data points using different colors for each cluster e. Update the means f. Continue for 4 iterations, creating one plot for each iteration inside a 2x2 subplot. g. Repeat for a new initialization of cluster centers: (0, -1) and (-1, 4)