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How to characterize imprecision in multi-view clustering?
April 9, 2024, 4:42 a.m. | Jinyi Xu, Zuowei Zhang, Ze Lin, Yixiang Chen, Zhe Liu, Weiping Ding
cs.LG updates on arXiv.org arxiv.org
Abstract: It is still challenging to cluster multi-view data since existing methods can only assign an object to a specific (singleton) cluster when combining different view information. As a result, it fails to characterize imprecision of objects in overlapping regions of different clusters, thus leading to a high risk of errors. In this paper, we thereby want to answer the question: how to characterize imprecision in multi-view clustering? Correspondingly, we propose a multi-view low-rank evidential c-means …
abstract arxiv cluster clustering cs.lg data information object objects risk singleton type view
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