Please explain each step

Suppose you have the following data set: Instance Class (a) Given initial cluster centers m(1, 1, 1) and m2(1, 2,0), give the cluster membership of each cluster and the new cluster centers after one iteration of K-means clustering (i.e, compute cluster memberships and then move cluster centers) b) Using the class assignments given above, give the mean entropy of the clustering you obtained in part (a)