Taxonomic data, obtained for 141 strains for which 240 unit characters were recorded, were subjected to numerical taxonomy analysis employing 36 coefficients. Clustering was by unweighted average linkage. From sorted similarity matrices, it was found that 15 coefficients, which included S, S, S, S, S, S, S, S, Sin(S), S, S, S, S, S, and S, provided useful discriminating properties. The coefficients S and S were found to provide results indistinguishable from S, and the coefficients S and S yielded results very similar to those obtained with S coefficient.


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