"Benchmark Datasets for UOFS: A Collection of Preprocessed MAT-Files for feature selection"

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Authors: Junyang Wu
Cited by: 0

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