The Elbow Method is a heuristic used in cluster analysis to determine the optimal number of clusters by plotting the explained variance as a function of the number of clusters and identifying the 'elbow' point where additional clusters yield diminishing returns. This method helps balance between underfitting and overfitting, ensuring meaningful and efficient clustering results.