Incomplete multi-view clustering based on low-rank representation with adaptive graph regularization
Author:
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Subject
Geometry and Topology,Theoretical Computer Science,Software
Link
https://link.springer.com/content/pdf/10.1007/s00500-023-07919-1.pdf
Reference49 articles.
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4. De Amorim RC, Hennig C (2015) Recovering the number of clusters in data sets with noise features using feature rescaling factors. Inf Sci 324:126–145
5. Du S, Shi Y, Shan G, Wang W, Ma Y (2021) Tensor low-rank sparse representation for tensor subspace learning. Neurocomputing 440:351–364
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