Author:
Khoei Tala Talaei,Singh Aditi
Publisher
Springer Science and Business Media LLC
Reference109 articles.
1. Bharadiya, J.P.: A tutorial on principal component analysis for dimensionality reduction in machine learning. Int. J. Innov. Sci. Res. Technol. 8(5), 2028–2032 (2023)
2. Yaicharoen, A., Hashikura, K., Kamal, M.A.S., Murakami, I. and Yamada, K.: Effects of dimensionality reduction on classifier training time and quality. In: 2023 Third International Symposium on Instrumentation, Control, Artificial Intelligence, and Robotics (ICA-SYMP) (pp. 53–56). IEEE (2023)
3. Ayesha, S., Hanif, M.K., Talib, R.: Overview and comparative study of dimensionality reduction techniques for high dimensional data. Inf. Fus. 59, 44–58 (2020)
4. Maharana, K., Mondal, S., Nemade, B.: A review: data pre-processing and data augmentation techniques. Glob. Trans. Proc. 3(1), 91–99 (2022)
5. Ghnatios, C., Barasinski, A., Cueto, E.: Advanced materials modeling combining model order reduction and data science. Front. Mater. 9, 1096233 (2023)