1887

Abstract

The concepts of the numerical method of maximal predictive classification are illustrated with classifications of 13 species of enterobacteria and of 434 species of yeast. The method seeks to classify into a specified number of classes () such that more correct statements can be made about the constituent members than with any other classification. The best choice of relates to the separation of the classes as measured by the average number of correct statements made for an individual assigned to a class to which it does not belong. The maximal predictive classifications are compared with previous classifications of the two groups, which seem to be poor predictively (in terms of the characters considered in this study). The results suggest that taxonomists may be more concerned with maximizing class separation rather than with prediction, but many more groups of organisms would need similar study before this view could be held with confidence.

Loading

Article metrics loading...

/content/journal/micro/10.1099/00221287-86-1-93
1975-01-01
2021-05-07
Loading full text...

Full text loading...

/deliver/fulltext/micro/86/1/mic-86-1-93.html?itemId=/content/journal/micro/10.1099/00221287-86-1-93&mimeType=html&fmt=ahah

References

  1. Barnett J. A., Pankhurst R. J. 1974 A New Key to the Yeasts Amsterdam: North Holland;
    [Google Scholar]
  2. Bascomb S., Lapage S. P., Curtis M. A., Willcox W. R. 1973; Identification of bacteria by computer: identification of reference strains. Journal of General Microbiology 77:291–315
    [Google Scholar]
  3. Bascomb S., Lapage S. P., Willcox W. R., Curtis M. A. 1971; Numerical classification of the tribe Klebsielleae. Journal of General Microbiology 66:279–295
    [Google Scholar]
  4. Gilmour J. S. L. 1937; A taxonomic problem. Nature; London: 1341040–1042
    [Google Scholar]
  5. Gower J. C. 1973; Classification problems. Bulletin of the International Statistical Institute 44:296–301
    [Google Scholar]
  6. Gower J. C. 1974; Maximal predictive classification. Biometrics 30: in the Press
    [Google Scholar]
  7. Graham D. C., Hodgkiss W. 1967; Identity of Gram-negative, yellow pigmented fermentative bacteria isolated from plants and animals. Journal of Applied Bacteriology 30:175–189
    [Google Scholar]
  8. Kluyver A. J., Van Niel C. B. 1936; Prospects for a natural classification of bacteria. Zentralblatt für Bakteriologie, Parasitenkunde, Infektionskrankheiten und Hygiene Abteilung II 94:369–403
    [Google Scholar]
  9. Kudriavzev V. I. 1954 The Systematics of Yeasts Moscow: Academy of Sciences; in Russian
    [Google Scholar]
  10. Leclerc H. 1962; Étude biochimique d’Enterobacteriaceae pigmentées. Annales de l’Institut Pasteur 102:726–741
    [Google Scholar]
  11. Lodder J. 1970 The Yeasts. A Taxonomic Study Amsterdam: North Holland;
    [Google Scholar]
  12. Marmur J., Falkow S., Mandel M. 1963; New approaches to bacterial taxonomy. Annual Review of Microbiology 17:329–372
    [Google Scholar]
  13. Sneath P. H. A., Sokal R. R. 1973 Numerical Taxonomy San Francisco: W. H. Freeman;
    [Google Scholar]
  14. Van Der Walt J. P. 1970; Kluyveromyces van der Walt emend, van der Walt. In The Yeasts. A Taxonomic Study pp. 316–378 Lodder J. Edited by Amsterdam: North Holland;
    [Google Scholar]
  15. Wickerham L. J. 1969; Yeast taxonomy in relation to ecology, genetics, and phylogeny. Antonie van Leeuwenhoek 35: Supplement: Yeast Symposium 31–58
    [Google Scholar]
http://instance.metastore.ingenta.com/content/journal/micro/10.1099/00221287-86-1-93
Loading
/content/journal/micro/10.1099/00221287-86-1-93
Loading

Data & Media loading...

This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error