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

Choice of type is influenced primarily by these two factors?

Suppose we have a byte addressable computer that has a 32-byte cache with 8 bytes per block. the memory address is 8 bits long. the system accesses memory addresses (in hex) in this exact order: 6e, b9, 17, e0, 4e, 4f, 50, 91, a8, ab, ad, 93, and 94. (a) assuming the cache is direct mapped, what memory addresses will be in cache block 2 after the last address has been accessed? (b) assuming the cache is direct mapped, what is the hit ratio for the entire memory reference sequence given, assuming the cache is initially empty? (c) assuming the cache is 2-way set associative with a lru replacement policy, what is the hit ratio?

Aplan to budget time for studying and activities is referred to as a study routine. study habits. study skills. a study schedule.