Spatiotemporal evolution of COVID-19 in Portugal’s Mainland with self-organizing maps

BACKGROUND: Self-Organizing Maps (SOM) are an unsupervised learning clustering and dimensionality reduction algorithm capable of mapping an initial complex high-dimensional data set into a low-dimensional domain, such as a two-dimensional grid of neurons. In the reduced space, the original complex p...

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Detalles Bibliográficos
Autores principales: Duarte, Igor, Ribeiro, Manuel C., Pereira, Maria João, Leite, Pedro Pinto, Peralta-Santos, André, Azevedo, Leonardo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9884330/
https://www.ncbi.nlm.nih.gov/pubmed/36710328
http://dx.doi.org/10.1186/s12942-022-00322-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9884330/
https://www.ncbi.nlm.nih.gov/pubmed/36710328
http://dx.doi.org/10.1186/s12942-022-00322-3

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