Covid-19 Data Analysis For Second Wave Indian Pandemic Seir Model By Using Principal Component Analysis Tool
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Abstract
This paper we discussed pre and post data for COVID-19 with 9 parameters SEIR model (second wave Indian pandemic) by using PCA (PRINCIPAL COMPONENT ANALYSIS) approach. Also we verify the validity of the system from government control polices. The prediction obtained from real life data for COVID-19 and finding 9 parameters % for government control policy
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How to Cite
et. al., K. S. . (2021). Covid-19 Data Analysis For Second Wave Indian Pandemic Seir Model By Using Principal Component Analysis Tool . Turkish Journal of Computer and Mathematics Education (TURCOMAT), 12(9), 2907–2915. Retrieved from https://turcomat.org/index.php/turkbilmat/article/view/4689
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