New OPS Algorithms (2019)

版本 1.0.0 (75.8 KB) 作者: Jussara Roque
Three new methods: autoOPS, feedOPS and iOPS
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5.0 次下载
更新时间 2024/7/12
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Matlab version 9.0 is required!

Checked by JVR: 12/07/2024

e-mail address: jussararoque@gmail.com

Reference: J.V. Roque, W. Cardoso, L.A. Peternelli, and R.F. Teófilo.
Comprehensive new approaches for variable selection using ordered predictors selection. 
Analytica Chimica Acta (2019).
https://doi.org/10.1016/j.aca.2019.05.039

引用格式

Roque, Jussara V., et al. “Comprehensive New Approaches for Variable Selection Using Ordered Predictors Selection.” Analytica Chimica Acta, vol. 1075, Elsevier BV, Oct. 2019, pp. 57–70, doi:10.1016/j.aca.2019.05.039.

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Teófilo, Reinaldo F., et al. “Sorting Variables by Using Informative Vectors as a Strategy for Feature Selection in Multivariate Regression.” Journal of Chemometrics, vol. 23, no. 1, Wiley, Jan. 2009, pp. 32–48, doi:10.1002/cem.1192.

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MATLAB 版本兼容性
创建方式 R2016a
兼容 R2016a 到 R2019a 的版本
平台兼容性
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版本 已发布 发行说明
1.0.0

See release notes for this release on GitHub: https://github.com/jussararoque/NewOPS/releases/tag/v1.0.0
要查看或报告此来自 GitHub 的附加功能中的问题，请访问其 GitHub 仓库。
要查看或报告此来自 GitHub 的附加功能中的问题，请访问其 GitHub 仓库。