The Elbow Method is a technique used in cluster analysis to determine the optimal number of clusters. By plotting the explained variance against the number of clusters, the point where the increase in variance explained starts to diminish significantly is identified as the "elbow point". This method aids in selecting the most appropriate number of clusters, helping to avoid overfitting or underfitting the data.
