Multi-view Fuzzy Clustering Combining Visual and Hidden Information with Feature Weighting

Multi-view Fuzzy Clustering Combining Visual and Hidden Information with Feature Weighting

Multi-view clustering is a type of multi-view learning method applied to unsupervised learning, which aims to use the feature set of different views to enhance the effect of clustering. Although multi-view clustering has been effectively applied in many fields, it still faces many challenges. For ex...

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Bibliographic Details
Main Author: LIANG Ling, DENG Zhaohong, WANG Shitong
Format: Article
Language:zho
Published: Journal of Computer Engineering and Applications Beijing Co., Ltd., Science Press 2021-06-01
Series:Jisuanji kexue yu tansuo
Subjects:
hidden information
feature weighting
multi-view learning
collaborative learning
Online Access:http://fcst.ceaj.org/CN/abstract/abstract2723.shtml

Internet

http://fcst.ceaj.org/CN/abstract/abstract2723.shtml

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