Part 1 : In this problem, you will generate simulated data, and then perform K-means clustering on the data. (a) Generate a simulated data set with 50 observations in each of two classes. Hint: There are a number of functions in R that you can use to generate data. One example is the rnorm() function; runif() is another option. Be sure to add a mean shift to the observations in each class so that there are two distinct classes. (b) Perform K-means clustering of the observations with K