Temporal clustering refers to the organization of events or data points in time, where occurrences are grouped together in specific intervals rather than being evenly distributed. This phenomenon is crucial in various fields such as epidemiology, finance, and machine learning, as it helps in understanding patterns, predicting future events, and identifying underlying causes or correlations.