Exercise

Build 4-cluster solution

Perfect, you can see the the recommended number of clusters is somewhere between 3 and 4. Now, you will build the latter number of clusters in this exercise.

The normalized RFMT dataset is available as datamart_rfmt_normalized, feel free to use the console to explore it.

Instructions

100 XP

Import KMeans from sklearn library.
Initialize KMeans with 4 clusters and random state 1.
Fit k-means clustering on the normalized data set.
Extract cluster labels and store them as cluster_labels object.