Analysis of Spatial Spread Relationships of Coronavirus (COVID-19) Pandemic in the World using Self Organizing Maps

We describe in this paper an analysis of the spatial evolution of coronavirus pandemic around the world by using a particular type of unsupervised neural network, which is called self-organizing maps. Based on the clustering abilities of self-organizing maps we are able to spatially group together c...

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Detalles Bibliográficos
Autores principales: Melin, Patricia, Monica, Julio Cesar, Sanchez, Daniela, Castillo, Oscar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7241408/
https://www.ncbi.nlm.nih.gov/pubmed/32501376
http://dx.doi.org/10.1016/j.chaos.2020.109917

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7241408/
https://www.ncbi.nlm.nih.gov/pubmed/32501376
http://dx.doi.org/10.1016/j.chaos.2020.109917

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