UPGMA
UPGMA 是一種聚類或者說是分類方法；它按照配對序列的最大相似性和連接配對的平均值的標準將進化樹的樹枝連接起來。它還不是一種嚴格的進化距離建樹方法。只有當序列分歧是基於一個分子鐘或者近似等於原始的序列差異性的時候，我們才會期望
UPGMA 會產生一個擁有真實的樹枝長度的準確的拓撲結構。
UPGMA is a clustering
or phenetic algorithm - it joins tree branches based on the criterion
of greatest similarity among pairs and averages of
joined pairs. It is not strictly an evolutionary distance
method. UPGMA is expected to generate an accurate topology
with true branch lengths only when the divergence is
according to a molecular clock or approximately equal to
raw sequence dissimilarity. As mentioned
earlier, these conditions are
rarely met in practice.
earlier, these conditions are
rarely met in practice.
Unweighted Pair
Group Method with Arithmetic Mean (UPGMA)
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