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

作者：

Highlights：

• Three novel frameworks based on Ridge, LASSO and Elastic Net are established.

• The hesitant fuzzy correlation (HFC) is used in the data and feature manifold.

• Ridge, LASSO and Elastic Net are regularized by the HFC-based manifold terms.

摘要

•Three novel frameworks based on Ridge, LASSO and Elastic Net are established.•The hesitant fuzzy correlation (HFC) is used in the data and feature manifold.•Ridge, LASSO and Elastic Net are regularized by the HFC-based manifold terms.

论文关键词：Data manifold,Feature manifold,Feature selection,Hesitant fuzzy correlation matrix,Regression

论文评审过程：Received 26 February 2021, Revised 29 June 2021, Accepted 14 July 2021, Available online 22 July 2021, Version of Record 29 July 2021.

论文官网地址：https://doi.org/10.1016/j.knosys.2021.107308