Below you will find pages that utilize the taxonomy term “clustering algorithms”

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# UPGMA Algorithm Described - Unweighted Pair-Group Method with Arithmetic Mean

UPGMA is an agglomerative clustering algorithm that is ultrametric (assumes a molecular clock - all lineages are evolving at a constant rate) by Sokal and Michener in 1958.
The idea is to continue iteration until only one cluster is obtained and at each iteration, join two nearest clusters (which become a higher cluster). The distance between any two clusters are calculated by averaging distances between elements of each cluster.
To understand better, see UPGMA worked example by Dr Richard Edwards.