After k-means creates clusters numbered 0, 1, and 2, what do these numbers mean?

A. Cluster 2 is necessarily twice as valuable as cluster 1 B. They are arbitrary identifiers and require interpretation from cluster characteristics C. They rank clusters by statistical significance D. They are known target labels from the training data