Elbow Method | Vibepedia

The Elbow Method is a heuristic technique used in data science to determine the optimal number of clusters in a dataset. By plotting the sum of squared errors (SSE) against the number of clusters, analysts identify the 'elbow' point where adding more clusters yields diminishing returns. Widely applied in machine learning, it balances computational efficiency with meaningful data segmentation.