New OPS Algorithms (2019)
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
Citation pour cette source
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.
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.
Compatibilité avec les versions de MATLAB
Plateformes compatibles
Windows macOS LinuxCatégories
- AI, Data Science, and Statistics > Statistics and Machine Learning Toolbox > Regression > Linear Regression > Multiple Linear Regression >
Tags
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!Découvrir Live Editor
Créez des scripts avec du code, des résultats et du texte formaté dans un même document exécutable.
Version | Publié le | Notes de version | |
---|---|---|---|
1.0.0 | See release notes for this release on GitHub: https://github.com/jussararoque/NewOPS/releases/tag/v1.0.0 |