Imagine that you work for a health insurance company. Your company covers a lot of people who suffer from diabetes. The organization wants to research the characteristics of people with diabetes. That way the company can intervene and try to change the customers' behavior to prevent future illness. How can your insurance company use K means clustering to help? Select only one correct answer: a. Make sure the K in K means clustering is 6, because you'll need a lot of clusters. b. Try to keep the value of K as 1, that way you can work with just one big cluster. c. Research the character traits of the cluster with the highest number of diabetics. d. Use supervised learning to train the system to find diabetics