Question: Given the matrixXwhose rows represent different data points, you are asked to perform ak-means clustering on this dataset using the Euclidean distance as the distance

Given the matrixXwhose rows represent different data points, you are asked to perform ak-means clustering on this dataset using the Euclidean distance as the distance function. Herekis chosen as 3 and distance function is the Euclidean function. All data inXare given below. The centers of 3 clusters were initialized asc1= (6.2,3.2),c2= (6.6,3.7) andc3= (6.5,3.0).

5.9 3.24.6 2.9

6.2 2.8

4.7 3.2

5.5 4.2X=5.0 3.0

4.9 3.1

6.7 3.15.1 3.8

6.0 3.0 What are the final clusters afterk-means converges?

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