📊 Machine Learning
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 dont 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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