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?
a) By predicting future diabetes cases based on past data
b) By identifying patterns and characteristics common among those with diabetes
c) By determining the best treatment options for diabetes
d) By calculating the cost of diabetes treatment for budgeting