Question
What is k-means++ initialization designed to do?
Select an option. Your answer will be checked instantly.
Correct Answer: C. Choose well-separated initial centroids probabilistically
Explanation:
K-means++ spreads initial centers across the data.
It usually improves convergence and solution quality over naive random starts.
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