UPGMA and the normalized equidistant minimum evolution problem

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Moulton, Vincent; Spillner, Andreas; Wu, Taoyang;
  • Subject: Quantitative Biology - Populations and Evolution | Computer Science - Discrete Mathematics | Computer Science - Computational Complexity

UPGMA (Unweighted Pair Group Method with Arithmetic Mean) is a widely used clustering method. Here we show that UPGMA is a greedy heuristic for the normalized equidistant minimum evolution (NEME) problem, that is, finding a rooted tree that minimizes the minimum evoluti... View more
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