For this purpose, a consistency check has been devised, which offers a similarity score between two cluster sets generated from different configurations. A cluster set generated from a dataset of size N , C N can be compared with a reference cluster set C ref , which is generated with the largest number of configurations feasible. Each cluster center C N i is matched with the nearest center in the reference set C ref i , according to the Euclidean distances in S between members of the two cluster sets. This matching process is demonstrated in Fig. . Differences in free energy ∆F i and position ∆d i are determined and averaged across all matched pairs as ∆F