Corona Disease Clustering Using Radial Basis Function Classifier

Abstract

The Government is putting lot of efforts in tracking corona patients. Because of failure in signal communication or due to switching of phones it is becoming futile in tracing. The identification of patients itself became challenging one. The information obtained with the cooperation of patients will alone be not enough to aggregate corona cases. The trials have been making from long since to stop transmission of the spread of the disease and link diseased patients. In this paper, patient clusters are created dynamically using Radial Basis Function classifier. This outlays the functioning of clusters and assists in restricting the spread of disease.