Adaptive graph-based generalized regression model for unsupervised feature selection

标题
Adaptive graph-based generalized regression model for unsupervised feature selection
作者
关键词
Unsupervised feature selection, Generalized regression model, Adaptive graph learning
出版物
KNOWLEDGE-BASED SYSTEMS
Volume 227, Issue -, Pages 107156
出版商
Elsevier BV
发表日期
2021-05-27
DOI
10.1016/j.knosys.2021.107156

向作者/读者发起求助以获取更多资源

Reprint

联系作者

Find the ideal target journal for your manuscript

Explore over 38,000 international journals covering a vast array of academic fields.

Search

Become a Peeref-certified reviewer

The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.

Get Started