Sklearn Kmeans parameter confusion?

Question

So I can run sklearn kmeans as the following:

kmeans = KMeans(n_clusters=3,init=\'random\',n_init=10,max_iter=500)

But I\'m a

Answer 1

With max_iter=2 and n_init=15, kmeans will choose initial centroids 15 times and move up to twice on each of the 15 runs.

The default values are n_init=10 and max_iter=300. This means the initial centroids will be chosen 10 times, and each run will use up to 300 iterations. The best out of those 10 runs will be the final result.