Which of the following is FALSE about k$-$means clustering?

a$.$

Each observation is classified into the cluster with the nearest centroid

b$.$

It is an unsupervised learning technique with no outcome variable to predict

c$.$

The method automatically determines the optimal number of clusters for a given sample

d$.$

The value k stands for the number of clusters