Community detection using unsupervised machine learning techniques on COVID-19 dataset

COVID-19 has been considered to be the most destructive pandemic ever happened in history of mankind. The worldwide research community put a tenacious effort carry out on analyse its impact economic, medical and sociolgoical fields. They are trying solve many crucial issues related this disease derive strategies deal with global pandemic. In paper, we have analysed trend, countries affected regionally variation cases at country level dataset. We used Principal component analysis dataset variables reduce dimensionality find significant variables. Further, unveiled hidden structure by applying unsupervised clustering approach, K-means. compared results K-means method. communities achieved after PCA more precise. resulted can beneficial researchers, scientists, sociologists, different policy makers managers health sector.