Difference between cluster centers and means
They are the same. 

When you run K-Means, the cluster center changes every iteration. In each iteration, cluster center or mean is given for that specific cluster. In the next iteration, a new cluster may be formed. The cluster centers need to be calculated again.

When the algorithm converges, you get the absolute means of the clusters formed. For most intents and purposes, they are the same.