21. Clustering with 3 Features

Question:

Add a third feature to features_list, “total_payments". Now rerun clustering, using 3 input features instead of 2 (obviously we can still only visualize the original 2 dimensions). Compare the plot with the clusterings to the one you obtained with 2 input features. Do any points switch clusters? How many? This new clustering, using 3 features, couldn’t have been guessed by eye--it was the k-means algorithm that identified it.

(You'll need to change the code that makes the scatterplot to accommodate 3 features instead of 2, see the comments in the starter code for instructions on how to do this.)