UPGMA, or the Unweighted Pair Group Method with Arithmetic Mean, is a clustering method used in bioinformatics and other fields for constructing phylogenetic trees. It is a hierarchical clustering algorithm that builds a tree based on the similarity or distance between pairs of data points. Here’s a brief overview of how UPGMA works: 1. **Starting Point**: Begin with a distance matrix that represents the pairwise distances between each set of data points (such as species or genes).
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