A robust and interpretable feature selection pipeline

• 主要作者: Krishnan, Nithya
• 其他作者: A S Madhukumar
• 格式: Final Year Project
• 語言: English
• 出版: Nanyang Technological University 2021
• 主題: Engineering::Computer science and engineering
• 在線閱讀: https://hdl.handle.net/10356/148109
• 機構: Nanyang Technological University

A feature selection pipeline that removes redundant and irrelevant features without resulting in a significant drop in performance is investigated in this work. The novel pipeline frameworks consider the combined effect of redundancy minimisation through Principal Feature Analysis (PFA) algorithms...