UPGMA is one of the most widespread hierarchical clustering algorithms because it is easy to understand and fast in practice.
UPGMA (Unweighted Pair Group Method with Arithmetic mean), introduced initially as average linkage analysis, is an agglomerative (bottom-up) hierarchical clustering approach. It is arguably one of the most widespread hierarchical clustering algorithms. This is because UPGMA is conceptually easy to understand and fast in practice, an important consideration when working with big datasets. It is generally used as a hierarchical clustering tool in bioinformatics and other data mining and pattern recognition areas. Furthermore, it is used in phylogenetics and taxonomy to build evolutionary trees and related fields, including ecology and metagenomics. Read more: https://analyticsindiamag.com/how-to-do-hierarchical-clustering-using-upgma/