Question: Which statement about K-means clustering is true?

1. In K-means clustering, the initial centroids are sometimes randomly selected.
2. K-means clustering is often used in supervised machine learning.
3. The number of clusters are always randomly selected.
4. To be accurate, you want your centroids outside of the cluster.

Answer: The correct answer of the above question is Option A:In K-means clustering, the initial centroids are sometimes randomly selected.