Part 1. Clustering: (1) Read the data from icecream3.csv (2) Run kmean=1. What is the total within cluster sum of squares? (3) Run kmeans 3(km3) to determine 3 clusters. Assign the result to km3 object. ? Use the following R code before running kmeans() function: set. seed (125) (4) What is the total within cluster sum of squares with 3 clusters? (5) What percent of the total within sum of squares is explained by using 3 clusters? (6) Display the cluster means of the variables for each cluster. (7) How many stores are there in each cluster? (8) The vector km3$C7 uster displays the cluster number for each store. Display this vector. (9) Add the vector km3$c7 uster as a new column to icecream object. (icecream object is the data frame that you read icecream3 data into). (10) Display stores in the order of cluster numbers