Variable selection in classification for multivariate functional data

DOI10.1016/j.ins.2018.12.060zbMath1443.62179OpenAlexW2908419842MaRDI QIDQ2005523

Asunción Jiménez-Cordero, Emilio Carrizosa, Rafael Blanquero, Belén Martín-Barragán

Publication date: 8 October 2020

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

Full work available at URL: https://www.pure.ed.ac.uk/ws/files/80091342/BelenVariableSelectionInClassification.pdf

zbMATH Keywords

support vector machinesfeature selectionmultivariate functional data analysis

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Nonconvex programming, global optimization (90C26)

Related Items (4)

Classification of multivariate functional data on different domains with partial least squares approaches ⋮ Interval-valued functional clustering based on the Wasserstein distance with application to stock data ⋮ A dual reformulation and solution framework for regularized convex clustering problems ⋮ A novel embedded min-max approach for feature selection in nonlinear support vector machine classification

Uses Software

• fda (R)

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