Numerical taxonomy

P.H.A. Sneath and R.R. Sokal, Numerical Taxonomy. The Principles and Practice of Numerical Classification. Freeman, San Francisco, CA, 1973. 

D. Wishart, Mode analysis. In A.J. Cole (ed.). Numerical Taxonomy. Academic Press, London, 1969, pp. 282-308. 

Dalgaard, R Manfio, G. R Goodfellow, M. Classification of photobacteria associated with spoilage of fish products by numerical taxonomy and pyrolysis mass spectrometry. Zbl. Bakt. 1997,285,157-168. 

Using numerical taxonomy it was found that the best separations were obtained by chloroform-methanol-(98-100 per cent) formic acid (44.1 3 2.35) and n-hexane-ethyl acetate-glacial acetic acid (31 14 5, v/v) as mobile phases. As the flavonoid profile of the propolis samples showed considerable differences, the method has been proposed for the authenticity test and traceability of various propolis products [141]. 

M. Medic-Saric, G. Stanic and I. Bosnjak, The use of information theory and numerical taxonomy methods for evaluating the quality of thin-layer chromatographic separations of flavonoid constituents of matricariae flos. Pharmazie 56 (2001) 156-159. 

West, P. A., Okpokwasili, G.C., Brayton, P. R., Grimes, D.J. Colwell, R. R. (1984). Numerical taxonomy of phenanthrene-degrading bacteria isolated from the Chesapeake Bay. Applied and Environmental Microbiology, 48, 988-93. 

Solomon, H. "Numerical Taxonomy" Technical Report No. 167, Stanford University Department of Statistics, Stanford, CA,... 

A more formal method of treating samples is unsupervised pattern recognition, mainly consisting of cluster analysis. Many methods have their origins in numerical taxonomy. 

The literature dealing with the multivariate techniques of pattern recognition, numerical taxonomy, group evaluation, etc. is extensive (e.g., reference... 

Sokal, R. and Sneath, P. (1963). Principles of Numerical Taxonomy, W. H. Freeman, San Francisco. 

Numerical taxonomy has developed methods to express numerically the similarities and differences between individuals, populations or clusters of them. As long as the same character states are scored in the same way and clustered according to the same rules and if it ic agreed at which number or formula a grouping may be ctlied species, variety, etc., a classification is repeatable indeed. That it is then much more objective than non-numerical methods, is questioned by many. 

P.H.A. SNEATH a R.R. SOKAL. 1973. Numerical Taxonomy, the principles and practice of numerical classification. Freeman fi Co. San Francisco. (Especially chapters 1, 2, 3, 5, 6, 7, 10. The disadvantage of the chapters on formulas to be applied is that the mechanisms of the formulas are too much summarised). 

Siegmund, H. and Baechmann, K. (1978) Application of numerical taxonomy to the classification of wines. Z. Lebensm. Unters. Forsch., 166, 298-303. 

Normal distribution, 2 multivariate, 21 Normal equations, 39 Normalized linear combinations, 65 Null hypothesis, 6 Numerical taxonomy, 94 Nyquist theory, 29... 

Molin, G. et al., Numerical taxonomy of Lactobacillus spp. associated with healthy and diseased mucosa of the human intestines, J. Appl. Bacteriol., 74, 314, 1993. 

Rohlf, FJ. (1993) NTSYS-PC Numerical Taxonomy and Multivariate Analysis System, Version 1.7, Aplied Biostatistic, Setauket, NY. 

---