Smooth Non-negative Low-Rank Graph Representation for Clustering

Smooth Non-negative Low-Rank Graph Representation for Clustering

The existing low-rank graph representation algorithms fail to capture the global representation structure of data accurately, and cannot make full use of the valid information of data to guide the construction of the representation graph, then the constructed representation graph does not have a con...

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Bibliographic Details
Main Author: QIAN Luoxiong, CHEN Mei, ZHANG Chi, ZHANG Jinhong, MA Xueyan
Format: Article
Language:zho
Published: Journal of Computer Engineering and Applications Beijing Co., Ltd., Science Press 2024-03-01
Series:Jisuanji kexue yu tansuo
Subjects:
clustering; low-rank representation; rank constraint; logarithmic determinant low rank
Online Access:http://fcst.ceaj.org/fileup/1673-9418/PDF/2212041.pdf

Internet

http://fcst.ceaj.org/fileup/1673-9418/PDF/2212041.pdf

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