k-means: Same clusters for every execution

Question

Is it possible to get same kmeans clusters for every execution for a particular data set. Just like for a random value we can use a fixed seed. Is it possible to stop random

Answer 1

Yes, calling set.seed(foo) immediately prior to running kmeans(....) will give the same random start and hence the same clustering each time. foo is a seed, like 42 or some other numeric value.