Fusion of feature selection methods in gene recognition
The paper presents the fusion approach of different feature selection methods in pattern recognition problems. The following methods are examined: nearest component analysis, Fisher discriminant criterion, refiefF method, stepwise fit, Kolmogorov-Smirnov criteria, T2-test, Kruskall-Wallis test, feat...
Main Authors: | , |
---|---|
Format: | Article |
Language: | English |
Published: |
Polish Academy of Sciences
2021-03-01
|
Series: | Bulletin of the Polish Academy of Sciences: Technical Sciences |
Subjects: | |
Online Access: | https://journals.pan.pl/Content/119432/PDF/08_01955_Bpast.No.69(3)_23.06.21_Druk.pdf |