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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Bibliographic Details
Published in:	Knowledge-based systems Vol. 229; p. 107308
Main Authors:	Mokhtia, Mahla, Eftekhari, Mahdi, Saberi-Movahed, Farid
Format:	Journal Article
Language:	English
Published:	Amsterdam Elsevier B.V 11.10.2021 Elsevier Science Ltd
Subjects:	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
Online Access:	Get full text
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