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