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An efficient and robust algorithm for the comparison of clusters is presented. Several illustrative example applications are given, including the screening of sets of clusters generated during global optimizations and Monte Carlo/molecular dymanics simulations, the identification of specific structure fragments inside large clusters, and the study of structure-substructure relations of periodic crystals.
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