Rapid availability of ambulance services is crucial to saving lives in medical emergencies. The strategic location of ambulance bases plays a fundamental role in the efficiency and speed of service. This paper proposes an approach based on clustering methods to determine the optimal location of ambulance bases. The study uses clustering techniques to identify the best location for the bases using historical data on emergency calls and their geographic characteristics. The results demonstrate that the clustering approach can improve the allocation of bases and, therefore, improve coverage for the population. Ambulance bases are then positioned in central locations within each cluster, maximizing coverage and minimizing response times. This study highlights the possibility of using clustering methods to determine the optimal location of ambulance bases. By considering spatial patterns and demand for services, the proposed methodology can improve the efficiency of the emergency care system, resulting in shorter response times. The application of this methodology can guide urban planning decisions and resource allocation strategies in health systems, ensuring an efficient distribution of emergency services and, consequently, saving lives.