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PRINCIPAL COMPONENT ANALYSIS OF TAXONOMIC DATA WITH MULTI‐STATE DISCRETE CHARACTERS
Author(s) -
Hill M. O.,
Smith A. J. E.
Publication year - 1976
Publication title -
taxon
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.819
H-Index - 81
eISSN - 1996-8175
pISSN - 0040-0262
DOI - 10.2307/1219449
Subject(s) - principal component analysis , ordination , measure (data warehouse) , taxonomic rank , extension (predicate logic) , component (thermodynamics) , mathematics , taxonomy (biology) , computer science , statistics , data mining , biology , ecology , taxon , physics , thermodynamics , programming language
Summary It is shown how principal component analysis can be extended to allow for multi‐state discrete characters as well as continuous characters. When all the characters are discrete, the proposed extension reduces to correspondence analysis. A taxonomic example is given to illustrate the method in practice. The technique allows the estimation of a taxonomic distance between objects which have been scored for multi‐state characters. However, taxonomic structure may be better inferred directly from the ordination, rather than by constructing a taxonomic distance measure.