Dynamic Incomplete Multi-view Imputing and Clustering

Author:

Li Xingfeng1,Sun Quansen1,Ren Zhenwen2,Sun Yinghui1

Affiliation:

1. Nanjing University of Science and Technology, Nanjing, China

2. Southwest University Of Science And Technology & Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ), Mianyang & Shenzhen, China

Funder

Zhejiang University, and the Sichuan Science and Technology Program

the National Natural Science Foundation of China

the Open Research Fund from Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ)

Publisher

ACM

Reference28 articles.

1. Wenjue He , Zheng Zhang , Yongyong Chen , and JieWen. 2022. Structured anchorinferred graph learning for universal incomplete multi-view clustering. World Wide Web ( 2022 ), 1--25. Wenjue He, Zheng Zhang, Yongyong Chen, and JieWen. 2022. Structured anchorinferred graph learning for universal incomplete multi-view clustering. World Wide Web (2022), 1--25.

2. Menglei Hu and Songcan Chen . 2019 . Doubly aligned incomplete multi-view clustering . Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI-19 (2019), 2262--2268. Menglei Hu and Songcan Chen. 2019. Doubly aligned incomplete multi-view clustering. Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI-19 (2019), 2262--2268.

3. Low-rank kernel learning for graph-based clustering

4. Large-Scale Multi-View Subspace Clustering in Linear Time

5. Multiple kernel clustering with pure graph learning scheme

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