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

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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Bibliographic Details
Main Authors: Asif Afzal, Zahid Ansari, Saad Alshahrani, Arun K. Raj, Mohamed Saheer Kuruniyan, C. Ahamed Saleel, Kottakkaran Sooppy Nisar
Format: Article
Language:English
Published: Elsevier 2021-10-01
Series:Results in Physics
Subjects:
COVID-19
c-Means
Fuzzy c-means
Validity index
Location
Online Access:http://www.sciencedirect.com/science/article/pii/S2211379721007300

Internet

http://www.sciencedirect.com/science/article/pii/S2211379721007300

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