Sparse Linear Discriminant Analysis With Constant Between-Class Distance for Feature Selection

Feature selection is an important preprocessing step in machine learning to remove irrelevant and redundant features. Due to its ability to effectively maintain the discriminability of extracted features, Trace Ratio Linear Discriminant Analysis (TR-LDA) has become the foundation for many feature se...

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Detalhes bibliográficos

Principais autores:	Shuangle Guo, Yongxia Li, Jianguang Zhang, Yue Liu, Tian Tian, Mengchen Guo
Formato:	Artigo
Idioma:	Inglês
Publicado em:	IEEE 2025-01-01
coleção:	IEEE Access
Assuntos:	Feature selection TR-LDA sparse regression
Acesso em linha:	https://ieeexplore.ieee.org/document/10788680/
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