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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 |
Answer» A. in distance calculation it will give the same weights for all features |
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