$1.$ Load the $$Obesity$$ dataset. Remove unwanted features if required.

$2.$ Select the optimum k value using Silhouette Coefficient and plot the optimum k

values.

$3.$ Create clusters using Kmeans and Kmeans$++$ algorithms with optimal k value found in

the previous problem. Report performances using appropriate evaluation metrics.

Compare the results.

$4.$ Now repeat clustering using KMeans for $50$ times and report the average

performance. Again compare the results that you have obtained in Q$3$ using

Kmeans$++$ and explain the difference.