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  3. Customer Segmentation in Python

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.