Comparing PCA to information gain as a feature selection method for Influenza-A classification
Computer Science & Engineering Department
[abstract not available]
ICIIBMS 2015 - International Conference on Intelligent Informatics and Biomedical Sciences
antiviral-resistance classification, bioinformatics, feature selection, Influenza-A, information gain, machine learning, neural networks, PCA
El Hefnawi, M.
(2016).Comparing PCA to information gain as a feature selection method for Influenza-A classification. IEEE. , 279-283
Shaltout, Nemin, et al.
Comparing PCA to information gain as a feature selection method for Influenza-A classification. IEEE, 2016.pp. 279-283