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(Solved): Can anyone help me with this question please? K mean classification Thanks ...


Can anyone help me with this question please?

K mean classification

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k-mean classification: (a) How is the point marked by ? classified using Euclidean distance as the distance metric for \( k???????

k-mean classification: (a) How is the point marked by "?" classified using Euclidean distance as the distance metric for \( k=1,2 \), and 3 ? (b) Are there any points in the training set that would be misclassified using \( k=1 \) ? If so, identify them. (c) Come up with a simple distance metric that would properly classify all the points in the training set for \( k=1 \). (d) What happens when \( k=5 \) using your distance metric?


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Solution: Using k mean classification k mean (clustering) Bivariable analysis Consider in the plane xy the points 1,2,3,?,5 point Var 1 (x) Var 2 (y)
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