what is Feature scaling done before applying K-Mean algorithm?

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Mr. Dubey

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Q. what is Feature scaling done before applying K-Mean algorithm?

(A) in distance calculation it will give the same weights for all features
(B) you always get the same clusters. if you use or don\t use feature scaling
(C) in manhattan distance it is an important step but in euclidian it is not
(D) none of these

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✅ Correct Answer: (A) in distance calculation it will give the same weights for all features

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