Clustering of COVID-19 data for knowledge discovery using c-means and fuzzy c-means-Reference-Cited by-同舟云学术

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

Published:2021-10 Issue: Volume:29 Page:104639
ISSN:2211-3797
Container-title:Results in Physics
language:en
Short-container-title:Results in Physics

Author:

Afzal Asif,Ansari Zahid,Alshahrani Saad,Raj Arun K.,Saheer Kuruniyan Mohamed,Ahamed Saleel C.,Nisar Kottakkaran Sooppy

Funder

King Khalid University

Deanship of Scientific Research, King Faisal University

Publisher

Elsevier BV

Subject

General Physics and Astronomy

Reference28 articles.

1. WHO. Coronavirus disease (COVID-2019) situation reports n.d.

2. Worldometers. COVID-19 Coronavirus Pandemic n.d.

3. Results on system of Atangana–Baleanu fractional order Willis aneurysm and nonlinear singularly perturbed boundary value problems;Panda;Chaos Solitons Fractals,2021

4. New results on existence in the framework of Atangana–Baleanu derivative for fractional integro-differential equations;Ravichandran;Chaos Solitons Fractals,2019

5. Logeswari K, Ravichandran C NK. Mathematical model for spreading of COVID‐19 virus with the Mittag–Leffler kernel. Numer Methods Partial Differ Equ 2020. https://doi.org/https://doi.org/10.1002/num.22652.

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