A guide for sparse PCA: model comparison and applications

DOI10.1007/s11336-021-09773-2zbMath1478.62362OpenAlexW3174010055MaRDI QIDQ2073736

Rosember Guerra-Urzola, Katrijn Van Deun, Klaas Sijtsma, Juan Carlos Vera

Publication date: 7 February 2022

Published in: Psychometrika (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11336-021-09773-2

zbMATH Keywords

regularizationdimension reductionexploratory data analysishigh dimension-low sample sizesparse principal components analysis

Mathematics Subject Classification ID

Factor analysis and principal components; correspondence analysis (62H25) Applications of statistics to psychology (62P15)

Related Items (2)

Sparse correspondence analysis for large contingency tables ⋮ Sparsifying the least-squares approach to PCA: comparison of lasso and cardinality constraint

Uses Software

• qgraph

Cites Work

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