1. Compare the mean silhouette values for the two cluster models. Which model is preferred?
2. Compare the pseudo-F statistics for the two cluster models. Which model is preferred?
3. With the test data set, apply k-means with the value of k from the preferred model above. Perform validation of the clusters you uncovered with the training and test data sets of the preferred model.