K-means Clustering: Five Customers’ Rating on a New Car on a 20-point Scale. (a) Assume K = 2 and the two initial centro

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K-means Clustering: Five Customers’ Rating on a New Car on a20-point Scale.

K Means Clustering Five Customers Rating On A New Car On A 20 Point Scale A Assume K 2 And The Two Initial Centro 1 (5.41 KiB) Viewed 39 times

(a) Assume K = 2 and the two initial centroids are 3 and 4.
1. Use the K-means algorithmand show all the computational steps with the numerical answers andsolution to determine the two-cluster solutions. No point is givenif only the answer is provided.
2. Show all the computationalsteps with the numerical answers and solution to calculateSilhouette Coefficient Index, Davies–Bouldin Index, andCalinski-Harabasz Index. No point is given if only the answer isprovided.
(b) Assume K = 2 and the two initial centroids are 11 and12.
1. Use the K-means algorithmand show all the computational steps with the numerical answers andsolution to determine the two-cluster solutions. No point is givenif only the answer is provided.
2. Show all the computationalsteps with the numerical answers and solution to calculateSilhouette Coefficient Index, Davies–Bouldin Index, andCalinski-Harabasz Index. No point is given if only the answer isprovided.
(c) Use the results from (a) and (b) to determine whichtwo-cluster solution should be chosen. Please describe and explainyour answer in detail.
0 A 2 B 5 C D 9 10 E 15 20