Geodesic
Transformation of metrics used in clusterization methods for building the phylogenetic language trees
Učënye zapiski Kazanskogo universiteta. Seriâ Fiziko-matematičeskie nauki, Kazanskii Gosudarstvennyi Universitet. Uchenye Zapiski. Seriya Fiziko-Matematichaskie Nauki, Tome 151 (2009) no. 3, pp. 229-239
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As large typological databases appeared a few years ago, the problem of data mining (as clusterization of languages) arose. Usually phylogenetic algorithms based on Hamming-distance are used for these purposes. But it was found out in cluster analysis that some other metrics give better results. In the paper two new metrics are proposed and it is shown on a great number of linguistic examples that phylogenetic algorithms based on these metrics give better results.
Keywords: linguistic database, metrics, phylogenetic algorithms. 
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     journal = {U\v{c}\"enye zapiski Kazanskogo universiteta. Seri\^a Fiziko-matemati\v{c}eskie nauki},
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V. D. Solovyev; R. F. Fashutdinov. Transformation of metrics used in clusterization methods for building the phylogenetic language trees. Učënye zapiski Kazanskogo universiteta. Seriâ Fiziko-matematičeskie nauki, Kazanskii Gosudarstvennyi Universitet. Uchenye Zapiski. Seriya Fiziko-Matematichaskie Nauki, Tome 151 (2009) no. 3, pp. 229-239. http://geodesic.mathdoc.fr/item/UZKU_2009_151_3_a19/

[1] Polyakov V. N., Solovev V. D., Kompyuternye modeli i metody v tipologii i komparativistike, Kazan. gos. un-t, Kazan, 2006, 208 pp.

[2] Haspelmath M., Dryer M. S., Gil D., Comrie B. (eds.), The World Atlas of Language Structures, Oxford Univ. Press, Oxford, 2005, 712 pp.

[3] Semple Ch., Steel M., Phylogenetics, Oxford Univ. Press, Oxford, 2003, 239 pp. | MR | Zbl

[4] Holder M., Lewis P. O., “Phylogeny Estimation: Traditional and Bayesian Approaches”, Nature Rev. Genet., 2003, no. 4, 275–284 | DOI

[5] Zagoruiko N. G., Prikladnye metody analiza dannykh i znanii, In-t matem. SO RAN, Novosibirsk, 1999, 270 pp. | Zbl

[6] Burlak S. A., Starostin S. A., Vvedenie v lingvisticheskuyu komparativistiku, Editorial URSS, M., 2001, 272 pp.

[7] Pattengale N. D., Gottlieb E. J., Moret B. M. E., “Efficiently Computing the Robinson-Foulds Metric”, J. Comput. Biol., 14:6 (2007), 724–735 | DOI | MR

[8] Estabrook G. F., McMorris F. R., Meacham C. A., “Comparison of Undirected Phylogenetic Trees Based on Subtrees of Four Evolutionary Units”, System. Zool., 34:2 (1985), 193–200 | DOI