Before revision:  Our findings show that all measures and methods vary strongly in accuracybetween data sets and that there is no clear best combination to employ in all cases  .
After revision:  In our findings we compare the chosen graph-based methods using all distance measures and observe that the results vary strongly with respect to the accuracy. As predicted by the ``no free lunch'' theorem, no clear best combination to employ in all cases .