Dimensionality reduction by feature clustering for regression problems

DOI10.1016/j.ins.2014.12.003zbMath1360.68724OpenAlexW2007461126MaRDI QIDQ528696

Shie-Jue Lee, Rong-Fang Xu

Publication date: 16 May 2017

Published in: Information Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ins.2014.12.003

zbMATH Keywords

mutual informationfeature extractioncorrelation coefficientmachine learningfeature clustering

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Learning and adaptive systems in artificial intelligence (68T05)

Related Items (6)

Ensemble decision forest of RBF networks via hybrid feature clustering approach for high-dimensional data classification ⋮ Fast stepwise regression based on multidimensional indexes ⋮ A safe double screening strategy for elastic net support vector machine ⋮ Relating supply network structure to productive efficiency: a multi-stage empirical investigation ⋮ Maximum relevance minimum common redundancy feature selection for nonlinear data ⋮ An ensemble feature ranking algorithm for clustering analysis

Uses Software

• Matlab
• dr

Cites Work

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• Comment

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