What are the Benefits of Using K Means Clustering in Epidemiology?
Despite the challenges, the benefits of using K Means Clustering in epidemiology are significant. It enables:
Pattern Recognition: Helps in identifying hidden patterns in complex datasets. Data Simplification: Reduces the complexity of data by grouping similar data points together. Enhanced Decision Making: Facilitates better decision-making by providing clear, actionable insights. Resource Optimization: Assists in the efficient allocation of healthcare resources by identifying areas of need.
