How is K Means Clustering Relevant to Epidemiology?
In the field of Epidemiology, K Means Clustering can be highly beneficial for identifying patterns and trends in health-related data. This can range from understanding the spread of diseases to identifying risk factors and health outcomes in different populations. By grouping similar data points together, epidemiologists can more easily interpret complex datasets and generate actionable insights.
