An improved feature selection method based on angle-guided multi-objective PSO and feature-label mutual information
Author:
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence
Link
https://link.springer.com/content/pdf/10.1007/s10489-022-03465-9.pdf
Reference44 articles.
1. Zhou H, Ma Y, Li X (2021) Feature selection based on term frequency deviation rate for text classification. Appl Intell 51(6):3255–3274. https://doi.org/10.1007/s10489-020-01937-4
2. Khoder A, Dornaika F (2021) A hybrid discriminant embedding with feature selection: application to image categorization. Appl Intell 51(6):3142–3158. https://doi.org/10.1007/s10489-020-02009-3
3. Bania RK, Halder A (2021) R-HEFS rough set based heterogeneous ensemble feature selection method for medical data classification. Artif Intell Medicine 114:102049. https://doi.org/10.1016/j.artmed.2021.102049
4. de Souza Oliveira M, Queiroz S (2020) Unsupervised feature selection methodology for clustering in high dimensionality datasets. RITA 27(2):30–41. https://doi.org/10.22456/2175-2745.96081
5. Çekik R, Uysal AK (2020) A novel filter feature selection method using rough set for short text data. Expert Syst Appl 113691:160. https://doi.org/10.1016/j.eswa.2020.113691
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