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Despite many data clustering methods are available, most of them uncover compactness or connectivity as the intrinsic structure of unlabeled data. Very few approaches explicitly consider the cluster size distribution, especially over‐dispersed (high variance), which may represent yet another important aspect of structural information of unlabeled data. In this paper, we propose a novel joint mixture...
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