Which statement about K$-$means clustering is true?

a$.$ The number of clusters are always randomly selected.

b$.$ To be accurate, you want your centroids outside of the cluster.

c$.$ K$-$means clustering is often used in supervised machine learning.

d$.$ In K$-$means clustering, the initial centroids are sometimes randomly selected.