Research on Feature Selection Method of Group Lasso Hypergraph Regularization and Depression Classification

Research on Feature Selection Method of Group Lasso Hypergraph Regularization and Depression Classification

Purposes In the research of depression classification and diagnosis, feature selection plays a crucial role. Methods To address the issues of missing group effect information in existing hypergraph regularized feature selection methods, the group lasso-based hypergraph regularized feature selection...

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Bibliographic Details
Main Authors: Dongxi GUO, Yao LI, Junjie CHEN
Format: Article
Language:English
Published: Editorial Office of Journal of Taiyuan University of Technology 2023-09-01
Series:Taiyuan Ligong Daxue xuebao
Subjects:
hypergraph
feature selection
group lasso
sparse
classification
depression
Online Access:https://tyutjournal.tyut.edu.cn/englishpaper/show-2115.html

Internet

https://tyutjournal.tyut.edu.cn/englishpaper/show-2115.html

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