Semi-supervised multi-label feature selection combining nonlinear manifold structure and minimizing group sparse redundant correlation.
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| Title: | Semi-supervised multi-label feature selection combining nonlinear manifold structure and minimizing group sparse redundant correlation. |
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| Authors: | Li, Runxin1,2, rxli@kust.edu.cn, Yang, Xiong2, yangx@stu.kust.edu.cn, Li, Xiaowu2, lxwlxw66@kust.edu.cn, Shu, Guofeng2, shuguofeng@kust.edu.cn, Jia, Lianyin2, lianyinjia@kust.edu.cn, Shang, Zhenhong1,2, szh@kust.edu.cn |
| Source: | Expert Systems with Applications; May2025, Vol. 273, pN.PAG-N.PAG, 1p |
| Database: | Applied Science & Technology Source |
| ISSN: | 09574174 |
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| DOI: | 10.1016/j.eswa.2025.126844 |
