Changing Clusters of Indian States with respect to number of Cases of COVID-19 using incrementalKMN Method

The novel Coronavirus (COVID-19) incidence in India is currently experiencing exponential rise with apparent spatial variation in growth rate and doubling time. We classify the states into five clusters with low to high-risk category and identify how the different states moved from one cluster to the other since the onset of the first case on $30^{th}$ January 2020 till the end of $15^{th}$ September 2020. We cluster the Indian states into $5$ groups using incrementalKMN clustering \cite{b1}. We observed and comment on the changing scenario of the formation of the clusters starting from before lockdown, through lockdown and the various unlock phases.