"Benchmark Datasets for UOFS: A Collection of Preprocessed MAT-Files for feature selection"
Abstract
"This dataset collection is curated to support research in feature selection. It contains several widely-used benchmark datasets, including COIL-20, DrivFace, GISETTE, ISOLET, ORL, TCGA, USPS, and WarpPIE10P. All datasets have been preprocessed and are provided in .mat format for convenient use in MATLAB or Python environments. This collection aims to facilitate the reproducibility of experimental results for feature selection algorithms."
Fields of Study & Subjects
Face and Expression Recognition
Machine Learning and Data Classification
Statistical Methods and Applications
Publication details
- Journal / source
- IEEE DataPort
- Publication date
- 17 January 2026
- Document type
- Dataset