Dual-manifold regularized regression models for feature selection based on hesitant fuzzy correlation

In this paper, three novel frameworks based on the widespread regression methods Ridge, LASSO and Elastic Net are established to perform the task of feature selection. The suggested frameworks, which benefit from the joint advantages of the dual-manifold learning and the hesitant fuzzy correlation (...

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Vydané v:	Knowledge-based systems Ročník 229; s. 107308
Hlavní autori:	Mokhtia, Mahla, Eftekhari, Mahdi, Saberi-Movahed, Farid
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Amsterdam Elsevier B.V 11.10.2021 Elsevier Science Ltd
Predmet:	Algorithms Classification Clustering Correlation analysis Data manifold Experiments Feature manifold Feature selection Fuzzy sets Hesitant fuzzy correlation matrix Hydrofluorocarbons Machine learning Manifolds (mathematics) Regression Regression models Regularization Regression Feature selection Hesitant fuzzy correlation matrix Feature manifold Data manifold
ISSN:	0950-7051, 1872-7409
On-line prístup:	Získať plný text
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