Question 11
Consider Lloyd’s algorithm used for k-means clustering and choose the correct statements:
K-means algorithm may get stuck at local minima.
It guarantees finding the optimal clustering (global minimum) in every run.
In practice, k should be as large as possible.
If the resources are limited and the data set is huge, it will be good to prefer K- means over K-means++.