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ASSIGNMENT OF TAXONOMIC UNITS WITH PROBABILISTIC CHARACTERS TO GROUPS - A MONTE-CARLO METHOD

SHAUKAT SS; HUSAIN SZ

Abstract: A Monte Carlo algorithm is proposed to assign 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.