What are the drawbacks of Normalized Mutual Information clustering evaluation method? What are the drawbacks of Normalized Mutual Information (NMI) clustering evaluation method?
For evaluating what clustering algorithms, is the NMI evaluation method suitable?
It is a matter of preference.

If you come with an information theory background, you'll like NMI better. If you come from a classification background, Rand index is pretty much the "accuracy" that you are used to, but on pairs.