Question
Why is k-means sensitive to outliers?
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Correct Answer: B. Means and squared distances give extreme observations strong influence
Explanation:
An extreme point can pull a centroid far from the cluster's main concentration.
Robust preprocessing or alternative clustering methods may be needed.
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