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In previous studies, density-based clustering algorithm was often used to discover high-density vessel clusters, so as to evaluate collision risk in waters. However, it can be argued that ship\u2019s encounter situation was ignored with those algorithms. This paper focuses on complexity modeling of the two encountering ships and clustering using data mining technology. A complexity model is proposed by employing intrinsic features to reflect pair-wise interactions between ships. 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