measure the "goodness" of clustering, use "Silhouette Score", which Measures how well$-$separated clusters are and how similar data points within the same cluster are. Silhouette Score ranges from $-1$ to $1,$ where a higher score indicates better$-$defined clusters. Try different values of k and show how clustering results changes.