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Exercise

Plot sum of squared errors

Now you will plot the sum of squared errors for each value of k and identify if there is an elbow. This will guide you towards the recommended number of clusters to use.

The sum of squared errors is loaded as a dictionary called sse from the previous exercise. matplotlib.pyplot was loaded as plt, and seaborn as sns.

You can explore the dictionary in the console.

Instructions
100 XP
  • Add the plot title "The Elbow Method".
  • Add the X-axis label "k".
  • Add the Y-axis label "SSE".
  • Plot SSE values for each k stored as keys in the dictionary.
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