Kizspy | Question: 38
(Choose 1 answer)
What is a potential challenge associated with the K-means algorithm?
A. It is sensitive to the initial choice of centroids and can converge to local optima
B. It always produces the same clusters regardless of the dataset
C. It performs poorly on high-dimensional data
D. It is only suitable for small datasets
