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Exercise

Visualizing clusters

After KMeans model training with an optimum K value (K = 15), in this final part of the exercise, you will visualize the clusters and their cluster centers (centroids) and see if they overlap with each other. For this, you'll first convert rdd_split_int RDD into spark DataFrame and then into Pandas DataFrame for plotting. Similarly, you'll convert cluster_centers into Pandas DataFrame. Once the DataFrames are created, you'll use matplotlib library to create scatter plots.

Remember, you already have a SparkContext sc, rdd_split_int and cluster_centers variables available in your workspace.

Instructions
100 XP
  • Convert rdd_split_int RDD into a Spark DataFrame.
  • Convert Spark DataFrame into a Pandas DataFrame.
  • Create a Pandas DataFrame from cluster_centers list.
  • Create a scatter plot of the raw data and an overlaid scatter plot with centroids for k = 15.
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