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The accompanying data provide information about the customers with attributes Age and Salary. Assume a Euclidean distance measure and use the K-means clustering algorithm to
The accompanying data provide information about the customers with attributes Age and Salary.
Assume a Euclidean distance measure and use the K-means clustering algorithm to identify these clusters starting with the three means; (28, 25) (39, 57) (22, 22). Sketch the clustered graph.
Customer | Age | Income |
1 | 22 | 22 |
2 | 23 | 27 |
3 | 26 | 36 |
4 | 28 | 25 |
5 | 28 | 19 |
6 | 30 | 16 |
7 | 33 | 28 |
8 | 36 | 25 |
9 | 38 | 57 |
10 | 38 | 30 |
11 | 39 | 57 |
12 | 41 | 24 |
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