A customer advocacy agency, Equitable Ernest, is interested in providing a service in which an individual can estimate their own credit care (a continuous measure used by banks, insurance companies, and other businesses when grating loans, quoting premiums, and issuing credit). The dataset CreditScore contains data on an individual’s credit score and other variables. (A) Create a k-means clustering using all variables in the clustering, standardizing the variables and using 10 clusters. In this structure, the smallest frequency in any cluster is and the largest frequency in any cluster is . The largest distance between two cluster centroids is . (B) Repeat this k-means clustering using only credit score in the clustering, with 10 clusters. In this structure, the smallest frequency in any cluster is and the largest frequency in any cluster is . The largest distance between two cluster centroids is . (C) Which clustering method do you believe would be best to use? Include a few sentences on why you made that selection.