In Epidemiology, clustering helps in identifying patterns and relationships within health-related data. It can be used to group populations based on disease prevalence, risk factors, or other health outcomes. This aids in understanding the spread of diseases, identifying high-risk groups, and tailoring public health interventions accordingly.
