Author:
Cheng Hongyu,Jiang Lin,Zhao Shuping,Zhang Xinpeng,Wu Jigang
Publisher
Springer Nature Singapore
Reference25 articles.
1. Lai, Z., Mo, D., Wen, J., Shen, L., Wong, W.K.: Generalized robust regression for jointly sparse subspace learning. IEEE Trans. Circuits Syst. Video Technol. 29(3), 756–772 (2018)
2. He, J., et al.: Adaptive affinity matrix learning for dimensionality reduction. Int. J. Mach. Learn. Cybern. 1–15 (2023)
3. Labrín, C., Urdinez, F.: Principal component analysis. In: Urdinez, F., Cruz, A., Urdinez, F., Cruz, A. (eds.) R for Political Data Science: A Practical Guide, pp. 375–393. Chapman and Hall/CRC (2020). https://doi.org/10.1201/9781003010623-15
4. He, X., Niyogi, P.: Locality preserving projections. Adv. Neural Inform. Process. Syst. 16 (2003)
5. Kwak, N.: Principal component analysis based on l1-norm maximization. IEEE Trans. Pattern Anal. Mach. Intell. 30(9), 1672–1680 (2008)