Implementing k-means clustering algorithms using rapidminer


Assignment Problem:

In this assignment, needs to implement K-means clustering algorithms using RapidMiner on insurance dataset.

Please follow the RapidMiner documents from L12.

Please submit the three screenshots of your RapidMiner process and result for the questions below:

1) Run k-means directly with k = 5 on the whole dataset (all numerical variables)

2) Run k-means on 2 variables: bmi and smoker, with k=2. Please note that "smoker" variable is not numerical and cannot be used directly.

For question 2, please show the full dataset with cluster label and check "visualization" tab to see the scatter plot. You can play around with the visualization function in RapidMiner.

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