Elbow Method

The elbow method has been applied in various fields, including data science, machine learning, and statistics. It is particularly useful for identifying patterns and structures in complex datasets. The method has been employed in various domains, such as customer segmentation, gene expression analysis, and image compression. K-means clustering and Hierarchical clustering often utilize the elbow method to determine the optimal number of clusters. The elbow method has been applied in Principal Component Analysis to select the number of principal components that best describe a dataset.