Unsupervised feature selection based on kernel fisher discriminant analysis and regression learning
Unsupervised feature selection based on kernel fisher discriminant analysis and regression learning is a scholarly work, published in 2018 in ''Machine Learning''. The main subjects of the publication include cluster analysis, linear discriminant analysis, kernel, mathematics, artificial intelligence, computer science, discriminative model, facial recognition system, feature learning, machine learning, pattern recognition, feature selection, and hyperspectral imaging. The authors propose a new feature selection method called kernel fisher discriminant analysis and regression learning based algorithm for unsupervised feature selection.