Validation in principal components analysis applied to EEG data

DOI10.1155/2014/413801zbMath1423.92143OpenAlexW2027768790WikidataQ34223277 ScholiaQ34223277MaRDI QIDQ2330157

Renan Moritz V. R. Almeida, João Carlos G. D. Costa, Antonio Fernando C. Infantosi, Paulo José G. Da-Silva

Publication date: 21 October 2019

Published in: Computational \& Mathematical Methods in Medicine (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2014/413801

zbMATH Keywords

principal components analysisEEG data

Mathematics Subject Classification ID

Factor analysis and principal components; correspondence analysis (62H25) Applications of statistics to biology and medical sciences; meta analysis (62P10) Biomedical imaging and signal processing (92C55)

Uses Software

• R
• R.matlab
• e1071
• pracma

Cites Work

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• A Review of Hierarchical Classification
• Application of the Parametric Bootstrap to Models that Incorporate a Singular Value Decomposition
• Which Bootstrap for Principal Axes Methods?
• Sensitivity in Metric Scaling and Analysis of Distance
• Some distance properties of latent root and vector methods used in multivariate analysis

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