A machine learning approach to economic complexity based on matrix completion

This work applies Matrix Completion (MC) – a class of machine-learning methods commonly used in recommendation systems – to analyze economic complexity. In this paper MC is applied to reconstruct the Revealed Comparative Advantage (RCA) matrix, whose elements express the relative advantage of countr...

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Detalles Bibliográficos
Autores principales: Gnecco, Giorgio, Nutarelli, Federico, Riccaboni, Massimo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9187690/
https://www.ncbi.nlm.nih.gov/pubmed/35689004
http://dx.doi.org/10.1038/s41598-022-13206-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9187690/
https://www.ncbi.nlm.nih.gov/pubmed/35689004
http://dx.doi.org/10.1038/s41598-022-13206-0

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