Clustering of COVID-19 data for knowledge discovery using c-means and fuzzy c-means

In this work, the partitioning clustering of COVID-19 data using c-Means (cM) and Fuzy c-Means (Fc-M) algorithms is carried out. Based on the data available from January 2020 with respect to location, i.e., longitude and latitude of the globe, the confirmed daily cases, recoveries, and deaths are cl...

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Detalles Bibliográficos
Autores principales: Afzal, Asif, Ansari, Zahid, Alshahrani, Saad, Raj, Arun K., Saheer Kuruniyan, Mohamed, Ahamed Saleel, C., Nisar, Kottakkaran Sooppy
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Author(s). Published by Elsevier B.V. 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8424416/
https://www.ncbi.nlm.nih.gov/pubmed/34513577
http://dx.doi.org/10.1016/j.rinp.2021.104639

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8424416/
https://www.ncbi.nlm.nih.gov/pubmed/34513577
http://dx.doi.org/10.1016/j.rinp.2021.104639

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