Estimating the number of principal components via Split-Half Eigenvector Matching (SHEM)

Estimating the number of principal components to retain for dimension reduction is a critical step in many applications of principal component analysis. Common methods may not be optimal, however. The current paper presents an alternative procedure that aims to recover the true number of principal c...

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Detalles Bibliográficos
Autor principal: Gladwin, Thomas E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Statistic
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10371851/
https://www.ncbi.nlm.nih.gov/pubmed/37519949
http://dx.doi.org/10.1016/j.mex.2023.102286

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10371851/
https://www.ncbi.nlm.nih.gov/pubmed/37519949
http://dx.doi.org/10.1016/j.mex.2023.102286

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