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

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