title: Numerical taxonomy on data: experimental results.
abstract: We consider the problem of fitting an n x n distance matrix D by a tree metric T. This problem is NP-hard for most reasonable distance functions between D and T. Recently, an approximation algorithm was presented (Agarwala et al., 1996) which achieves a factor of 3 approximation to the L infinity best fitting tree. We call this method the Single Pivot (SP) heuristic. Within the biology community, the so-called Neighbor-Joining (NJ) heuristic (Saitou and Nei, 1987) has wide acceptance. In this paper, we introduced a new Double Pivot (DP) heuristic, which is an extension of the SP heuristic, and show that DP outperforms NJ on biological and random data.
authors.affiliation: Department of Computer Science, Rutgers University, Piscataway, NJ 08855, USA. jaimecoh@paul.rutgers.edu
authors.forename: J
authors.initials: J
authors.lastname: Cohen
authors.forename: M
authors.initials: M
authors.lastname: Farach
mesh_terms: D002965:Classification / Q000379:methods*; D019295:Computational Biology / Q000379:methods*; D008962:Models, Theoretical; D009716:Numerical Analysis, Computer-Assisted; D010802:Phylogeny