Question
Why is feature standardization often needed before k-means?
Select an option. Your answer will be checked instantly.
Correct Answer: D. Large-scale variables otherwise dominate Euclidean distance
Explanation:
K-means depends directly on geometric distances.
Scaling ensures units do not determine feature importance unintentionally.
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