A Hybrid Feature Selection Scheme for High-Dimensional Data
Published in Engineering Applications of Artificial Intelligence, 2022
Recommended citation: M.A.Ganjei, R.Boostani, (2022). "A Hybrid Feature Selection Scheme for High-Dimensional Data." Engineering Applications of Artificial Intelligence. Volume 113,2022, 104894, https://doi.org/10.1016/j.engappai.2022.104894 https://doi.org/10.1016/j.engappai.2022.104894
A new hybrid feature selection framework named the HyCluster is proposed. Our algorithm significantly improves the time complexity using feature clustering. It selects relevant, and irredundant features and significantly improves accuracy rates. Comparison results imply the superiority of the proposed method to its counterparts.