K mean clustering sklearn best practice - Udacity Machine Learning Nanodegree Unsupervised Learning

There are three key k means clustering parameters in sklearn that you will need to pay attention to:

• Number of centroids, aka center of clusters, initialized
• Max number of iterations, used to optimize the algorithm. Best practice recommended by Udacity is 300
• Number of different iterations, with initialization of centroids