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A “Natural” Agglomerative Clustering Method for Biology
Author(s) -
Dragomirescu L.,
Postelnicu T.
Publication year - 1991
Publication title -
biometrical journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.108
H-Index - 63
eISSN - 1521-4036
pISSN - 0323-3847
DOI - 10.1002/bimj.4710330712
Subject(s) - hierarchical clustering , cluster analysis , cluster (spacecraft) , transformation (genetics) , computer science , field (mathematics) , biology , artificial intelligence , mathematics , biochemistry , pure mathematics , gene , programming language
The authors consider that cluster analysis does not objectivize but represents the biologist's subjectivity as to (1) characters considered to be significant and to (2) the way of classification. The latter, however, in authors' opinion, must be specific to the field of application. To this effect some methods are suggested for biology. The methods originate in improvements or transformation of Buser and Baroni‐Urbani's method, as well as Watanabe's method, and have the property of processing overall information with no loss or distortion. An agglomerative method which yields a necessarily unique result is suggested, being considered by the authors as a homologue of Watanabe's divisive method. The methods proposed are studied using examples logically constructed. These examples can provide from biology, especially from ecology.