lower left, what these local optima correspond to is really solutions where K-means has gotten stuck to the local optima and it's not doing a very good job minimizing this distortion function J. So, if you're worried about K-means getting stuck in local optima, if you want to increase the odds of K-means finding the best possible clustering, like that shown on top here, what we can do, is try multiple, random initializations. 