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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

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