On the Uniqueness of the Selection Criterion in Neighbor-Joining |
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Authors: | David Bryant |
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Institution: | (1) McGill University, Montreal, Canada |
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Abstract: | The Neighbor-Joining (NJ) method of Saitou and Nei is the most widely used
distance based method in phylogenetic analysis. Central to the method is the selection
criterion, the formula used to choose which pair of objects to amalgamate next. Here
we analyze the NJ selection criterion using an axiomatic approach. We show that any
selection criterion that is linear, permutation equivariant, statistically consistent and based
solely on distance data will give the same trees as those created by NJ. |
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Keywords: | |
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