Computer Science · Machine Learning
Which of the following statements about K-means clustering is true?
Verified Solution4 OptionsUpdated: October 2026👁️1 View
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- 1It works well with non-spherical clusters.
- 2It is sensitive to feature scaling and initialization.✓
- 3It minimizes the L1-norm distance between data points and centroids.
- 4It always finds the global minimum of the objective function.
Correct answer
It is sensitive to feature scaling and initialization.
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