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A practical O(n log(2 )n) time algorithm for computing the triplet distance on binary trees

The triplet distance is a distance measure that compares two rooted trees on the same set of leaves by enumerating all sub-sets of three leaves and counting how often the induced topologies of the tree are equal or different. We present an algorithm that computes the triplet distance between two roo...

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Detalles Bibliográficos
Autores principales: Sand, Andreas, Brodal, Gerth Stølting, Fagerberg, Rolf, Pedersen, Christian NS, Mailund, Thomas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3549851/
https://www.ncbi.nlm.nih.gov/pubmed/23368759
http://dx.doi.org/10.1186/1471-2105-14-S2-S18
Descripción
Sumario:The triplet distance is a distance measure that compares two rooted trees on the same set of leaves by enumerating all sub-sets of three leaves and counting how often the induced topologies of the tree are equal or different. We present an algorithm that computes the triplet distance between two rooted binary trees in time O (n log(2 )n). The algorithm is related to an algorithm for computing the quartet distance between two unrooted binary trees in time O (n log n). While the quartet distance algorithm has a very severe overhead in the asymptotic time complexity that makes it impractical compared to O (n(2)) time algorithms, we show through experiments that the triplet distance algorithm can be implemented to give a competitive wall-time running time.