Feature selection using Fisher score and multilabel neighborhood rough sets for multilabel classification
In recent years, feature selection for multilabel classification has attracted attention in machine learning and data mining. However, some feature selection methods ignore the correlations among labels, resulting in low performance, and most of them face challenges in determining an appropriate nei...
Saved in:
Published in | Information sciences Vol. 578; pp. 887 - 912 |
---|---|
Main Authors | , , , , |
Format | Journal Article |
Language | English |
Published |
Elsevier Inc
01.11.2021
|
Subjects | |
Online Access | Get full text |
Cover
Loading…
Be the first to leave a comment!