Furthermore, the fuzzy v measure that we developed in order to evaluate soft clusterings still seems to provide sub-optimal evidence of clustering quality: The magnitude of the score depends on the threshold, so it is difficult to decide which threshold performed best.
several of our analyses pointed towards similar numbers for an optimal k, and these optimal k values were reasonable, as they were close to the number of gold standard classes.