← Back to Test

Problem 16 - Entrance Test

Which preprocessing step is crucial when combining features with vastly different scales into a k-means clustering algorithm?

Correct: B

k-means relies on Euclidean distance; unscaled features with larger ranges dominate distance calculations, distorting cluster assignments.