Fast Multi-view Clustering with Sparse Matrix and Improved Normalized Cut
The multi-view clustering algorithm is a novel approach to explore the inherent clustering structure among data. However, most existing methods suffer from noise issues when constructing similarity graphs and may lose important information during the clustering, leading to lower accuracy. Moreover,...
| Published in: | Jisuanji kexue yu tansuo |
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| Main Author: | |
| Format: | Article |
| Language: | Chinese |
| Published: |
Journal of Computer Engineering and Applications Beijing Co., Ltd., Science Press
2024-11-01
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| Subjects: | |
| Online Access: | http://fcst.ceaj.org/fileup/1673-9418/PDF/2309037.pdf |
