$1.$ Load data from "Live$\_20210128.$csv$"$ file. 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.

$4.$ 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 $($if any$).$ I have the dataset loaded into the same folder. I struggle with the last questions. Can you please complete the $4$ with explanation so I can see where I went wrong.