Fuzzy clustering using Hybrid CSO-PSO search based on Community mobility during COVID 19 lockdown

Recently COVID-19 virus had made a potential threat to humanity. The effect of mobility habits might be considerably high in the spread of disease. This work analyzes the mobility patterns in selected districts of Tamilnadu and applies Fuzzy C-Means clustering based hybrid variant of cuckoo search combined with best features from particle swarm optimisation. Google Community Mobility reports are taken for the experimental purpose and 26 districts in Tamilnadu are considered. The decision regarding the restricted movement of people can be made from the results. The correlation between human mobility during and after lockdown to the disease spread is analysed. The results are evaluated using internal indices like Silhouette and DB index. The regions are classified into high, medium and low risk regions with relevance to the human mobility.