Which clustering method do you believe would be best to use?Include a few sentences on why you made that selection.

6. 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 granting 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 1 and the largest frequency in any cluster is 2. The largest distance between two cluster centroids is 0.4391. Cluster Summary Maximum Distance from Seed Radius Distance Between Cluster Frequency RMS Sod Deviation to Observation Exceeded Nearest Cluster Cluster Centroids 1 0. 1298 0.4391 2 1099 0.0902 TAGO 0.2991 667 010362 0.3436 742 0.0472 0.3019 5 123 0 1104 0.8254 0.4372 0. 1088 1 8376 2 0:2491 271 0.0997 2 0.4213 127 6.6308 0.3436 17 0.1690 0.4401 10 774 0.0934 0.3019 (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 4 and the largest frequency in any cluster is 6. The largest distance between two cluster centroids is 0.1010. Cluster Summary Maximum Distance from Seed Radius Distance Between Cluster Frequency RMS Sid Deviation o Observation Exceeded Nearest Cluster Cluster Centroids 97 0.0290 4.0519 010908 2 4.0277 0.05-49 0.0932 3 13 0.0398 0.0740 070890 4 5 0.0221 0.0370 3 5 555 4.0267 4.0507 010932 6 0.0260 7 0.0783 327 0.0712 0.0449 0.8793 67 0.0210 0.0495 7 0. 1010 85 0.0754 0:0908 1406 1.0295 0.0544 010935 (C) Which clustering method do you believe would be best to use? Include a few sentences on why you made that selection