Multi-view clustering via pairwise sparse subspace representation

Author:

Yin Qiyue,Wu Shu,He Ran,Wang Liang

Funder

National Basic Research Program of China

National Science Foundation of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference39 articles.

1. A survey of multi-view machine learning;Sun;Neural Comput. Appl.,2013

2. G. Tzortzis, A. Likas, Kernel-based weighted multi-view clustering, in: International Conference on Data Mining, 2012, pp. 675–684.

3. H. Wang, F. Nie, H. Huang, Multi-view clustering and feature learning via structured sparsity, in: International Conference on Machine Learning, 2013, pp. 352–360.

4. E. Muller, S. Gunnemann, I. Farber, T. Seidl, Discovering multiple clustering solutions: grouping objects in different views of the data, in: International Conference on Data Mining, 2010, pp. 1207–1210.

5. Learning from multiple partially observed views—an application to multilingual text categorization;Amini;Neural Inf. Process. Syst.,2010

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