PyIT-MLFS: a Python-based information theoretical multi-label feature selection library

Multi-label learning is an emerging research direction that deals with data in which an instance may belong to multiple class labels simultaneously. As many multi-label data contain very large feature space with hundreds of irrelevant andredundant features, multi-label feature selection is a fundame...

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Bibliographic Details
Main Author: Sadegh Eskandari
Format: Article
Language:English
Published: Ayandegan Institute of Higher Education, 2022-03-01
Series:International Journal of Research in Industrial Engineering
Subjects:
Online Access:http://www.riejournal.com/article_144057_d784382d18541832f86049e1bc2fbe02.pdf