Given a set of data points \(D\), a clustering \(C = (C_1,C_2,...,C_k)\) is a partition where each pair of sets \(C_i\) and \(C_j\) has no overlapping elements. mclustcomp package provides a collection of methods that play a role similar to distance or metric in that measures similarity of two clusterings (or, partitions) \(C\) and \(C'\). For a more detailed description, see Meila, M. (2005) <doi:10.1145/1102351.1102424>.