Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Liliang Wen"'
Autor:
Tao Pang, Haitao Zhang, Liliang Wen, Jun Tang, Bing Zhou, Qianxu Yang, Yong Li, Jiajun Wang, Aiming Chen, Zhongda Zeng
Publikováno v:
Journal of Analytical Methods in Chemistry, Vol 2021 (2021)
The mining of weak correlation information between two data matrices with high complexity is a very challenging task. A new method named principal component analysis-based multiconfidence ellipse analysis (PCA/MCEA) was proposed in this study, which
Externí odkaz:
https://doaj.org/article/87a37c0418e640459d6fcd8220808f8a
Autor:
Bo Kong, Jiaxiao Cai, Suxing Tuo, Liliang Wen, Hui Jiang, Liping He, Lin Luo, Yipeng Zhang, Aiming Chen, Jun Tang, Tao Pang, Haitao Zhang, Kejun Zhong, Zhongda Zeng
Publikováno v:
Analytical Letters. 55:1685-1700
Autor:
Zeng Zhongda, Qianxu Yang, Tao Pang, Bing Zhou, Jun Tang, Yong Li, Jiajun Wang, Haitao Zhang, Aiming Chen, Liliang Wen
Publikováno v:
Journal of Analytical Methods in Chemistry
Journal of Analytical Methods in Chemistry, Vol 2021 (2021)
Journal of Analytical Methods in Chemistry, Vol 2021 (2021)
The mining of weak correlation information between two data matrices with high complexity is a very challenging task. A new method named principal component analysis-based multiconfidence ellipse analysis (PCA/MCEA) was proposed in this study, which