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发表刊物：Neurocomputing
关键字：Multi-view clustering; Incomplete views; Deep semantic mapping; Graph regularization
摘要：Multi-view clustering, which explores complementary information between multiple feature sets by consensus grouping, has benefited many data analytic applications. The majority of previous multi-view clustering studies usually assume that all feature sets appear in complete. In real-world applications, however, it is often the case that some views could suffer from the missing of examples, resulting in incomplete feature sets. The incompleteness of views makes it difficult to synthesize all feature sets and achieve a comprehensive description of data samples. In this paper, we develop a novel
合写作者：Chen, Zhikui,Jane Wang, Z,Leung, Victor C.M
第一作者：Zhao, Liang
论文类型：开发研究
通讯作者：杨懿
论文编号：000418370200101
一级学科：控制科学与工程
文献类型：期刊
卷号：275
页面范围：1053-1062
ISSN号：09252312
是否译文：否
CN号：null
发表时间：2018-01-31
收录刊物：SCI
发布期刊链接：https://doi-org-443.e.buaa.edu.cn/10.1016/j.neucom.2017.07.016