One approach to estimating the native state is by clustering configurations from a replica exchange simulation. In general, clustering methods aim to optimize the placement of data points into groups (clusters) based on their similarity to one another. Applied to molecular simulation trajectory data, clustering methods can identify groups of similar structures representative of frequently visited conformations. The cluster with the most similar members is likely a candidate for the native structure, whereas other clusters may represent metastable states.