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...
Publié dans: | Journal of multivariate analysis. - 1998. - 171(2019) vom: 29. Mai, Seite 250-269 |
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Auteur principal: | |
Autres auteurs: | , |
Format: | Article en ligne |
Langue: | English |
Publié: |
2019
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Accès à la collection: | Journal of multivariate analysis |
Sujets: | Journal Article Feature structure Gaussian graphical models Regularization Undirected graph |
Accès en ligne |
Volltext |