Clustering of COVID-19 data for knowledge discovery using c-means and fuzzy c-means
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DOI: 10.1016/j.rinp.2021.104639
Abstract: 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… read more here.
Keywords: using means; covid data; data knowledge; clustering covid ... See more keywords