Application of fuzzy clustering to data dealing with phytotoxicity

Autor(en): Melcher, D
Matthies, M
Stichwörter: BARLEY; cluster analysis; Ecology; Environmental Sciences & Ecology; fuzzy logic; LIPOPHILICITY; NON-IONIZED CHEMICALS; toxicology; TOXSCREEN
Erscheinungsdatum: 1996
Herausgeber: ELSEVIER SCIENCE BV
Journal: ECOLOGICAL MODELLING
Volumen: 85
Ausgabe: 1
Startseite: 41
Seitenende: 49
Zusammenfassung: 
There is a lack of knowledge in the scope of phytotoxicity because the concentration of chemicals in the environment and their uptake by vascular plants is quite difficult to control. Fuzzy clustering, a clustering method which derives the degree of membership to each cluster, was applied to analyze TOXSCREEN, a dataset of chemicals tested with soybean and barley under identical conditions. The clustered variables were the partition coefficients octanol-water (K-OW) and atmosphere-water (K-AW), the molecular weight (MW) and effective concentration regarding 50% of the experiment population (EC(50)). The clustering of only physical parameters yielded in a good separation of aromatics and non-aromatics, but cluster decomposition in the sense of phytotoxicity was rather poor. Adding EC(50) resulted in the good decomposition of chemicals with different toxicity.
Beschreibung: 
Fuzzy Logic in Ecological Modelling Workshop, KIEL, GERMANY, OCT 12-13, 1993
ISSN: 03043800
DOI: 10.1016/0304-3800(95)00010-0

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