Abstract:
A Monte Carlo algorithm is proposed to assi on a new or unclassified operational taxonomic unit (O.T.U.), with variable characters, to the group it is closest to. The method involves a bootstrap resampling plan. The algorithm is limited to binary data but may easily be extended to cope with data sets involving qualitative as well as quantitative characters