If np.shape(neighbors)[0] is taken instead of np.shape(neighbors)[1] (as it should be), the resultant index has always a low value (hardly never a positive one) ... even when evaluating good clustering results as the one obtained running hdbscan with the noisy moons dataset (provided by the author).

[pancodia]

          If `np.shape(neighbors)[0]` is taken instead of `np.shape(neighbors)[1]` (as it should be), the resultant index has always a low value (hardly never a positive one) ... even when evaluating good clustering results as the one obtained running hdbscan with the noisy moons dataset (provided by the author). 

Does anyone know why?

Originally posted by @onofricamila in #10 (comment)

I also got negative dbcv score for a good clustering from hdbscan. Is this expected?