Recursive universum linear discriminant analysis-Reference-Cited by-同舟云学术

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Recursive universum linear discriminant analysis

Published:2023-09-29 Issue: Volume: Page:
ISSN:1862-4472
Container-title:Optimization Letters
language:en
Short-container-title:Optim Lett

Author:

Li Chun-Na,Liu Jiakou,Meng Yanhui,Shao Yuan-Hai^ORCID

Funder

National Natural Science Foundation of China

Hainan Provincial Natural Science Foundation of China

Hainan Provincial Postdoctoral Science Foundation

Publisher

Springer Science and Business Media LLC

Subject

Control and Optimization,Business, Management and Accounting (miscellaneous)

Link

https://link.springer.com/content/pdf/10.1007/s11590-023-02067-9.pdf

Reference34 articles.

1. Hastie, T., Tibshirani, R., Friedman, JH.: et al. The Elements of Statistical Learning: Data Mining, Inference, and Prediction. springer, New York (2009)

2. Moore, B.C.: Principal component analysis in linear systems: controllability, observability, and model reduction. IEEE Trans. Auto. Control 26(1), 17–32 (1981)

3. Jolliffe, I.T., Cadima, J.: Principal component analysis: a review and recent developments. Philos. Trans. R. Soc. A Math. Phys. Eng. Sci. 374(2065), 20150202 (2016)

4. Fisher, R.A.: The use of multiple measurements in taxonomic problems. Ann. Eugenics 7(2), 179–188 (1936)

5. Fukunaga, K.: Introduction to Statistical Pattern Recognition, 2nd edn. Academic Press, New York (1991)

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