Kizspy | Question: 29 (Choose 1 answer)
Why is it necessary to scale the data (Step 4)?
A. Since the values of the features are on different scales, all features need to be scaled so that all values will be positive.
B. Since the values of the features are on different scales, all features need to be scaled so that no one feature dominates the clustering results.
C. Since the values of the features are on different scales, all features need to be scaled so that the cluster centers can be displayed on the same plot for easier analysis.
