Home / Information Systems / Data Mining / The UPGMA algorithm

The UPGMA algorithm

Print Friendly, PDF & Email

The UPGMA (Unweighted Pair Group Method with Arithmetic Mean) is a simple agglomerative or hierarchical clustering method. It is one of the most popular methods in ecology for the classification of sampling units (such as vegetation plots) on the basis of their pairwise similarities in relevant descriptor variables (such as species composition). In bioinformatics, UPGMA is used for the creation of phenetic trees (phenograms). In a phylogenetic context, UPGMA assumes a constant rate of evolution (molecular clock hypothesis), and is not a well-regarded method for inferring relationships unless this assumption has been tested and justified for the data set being used. UPGMA was initially designed for use in protein electrophoresis studies, but is currently most often used to produce guide trees for more sophisticated phylogenetic reconstruction algorithms.


About Nguyen Vu Ngoc Tung

I love making new professional acquaintances. Don't hesitate to contact me via nguyenvungoctung@gmail.com if you want to talk about information technology, education, and research on complex networks analysis (i.e., metabolic networks analysis), data analysis, and applications of graph theory. Specialties: researching and proposing innovative business approaches to organizations, evaluating and consulting about usability engineering, training and employee development, web technologies, software architecture.