Graph-based sparse linear discriminant analysis for high-dimensional classification

Linear discriminant analysis (LDA) is a well-known classification technique that enjoyed great success in practical applications. Despite its effectiveness for traditional low-dimensional problems, extensions of LDA are necessary in order to classify high-dimensional data. Many variants of LDA have...

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Bibliographische Detailangaben

Veröffentlicht in:	Journal of multivariate analysis. - 1998. - 171(2019) vom: 29. Mai, Seite 250-269
1. Verfasser:	Liu, Jianyu (VerfasserIn)
Weitere Verfasser:	Yu, Guan, Liu, Yufeng
Format:	Online-Aufsatz
Sprache:	English
Veröffentlicht:	2019
Zugriff auf das übergeordnete Werk:	Journal of multivariate analysis
Schlagworte:	Journal Article Feature structure Gaussian graphical models Regularization Undirected graph