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Application of fuzzy c-means clustering to PRTR chemicals uncovering their release and toxicity characteristics.

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Bibliographic Details
Title: Application of fuzzy c-means clustering to PRTR chemicals uncovering their release and toxicity characteristics.
Authors: Xue M; Division of Sustainable Energy and Environmental Engineering, Graduate School of Engineering, Osaka University, 2-1 Yamadaoka, Suita, Osaka 565 0871, Japan. Electronic address: xue@em.see.eng.osaka-u.ac.jp., Zhou L; Division of Sustainable Energy and Environmental Engineering, Graduate School of Engineering, Osaka University, 2-1 Yamadaoka, Suita, Osaka 565 0871, Japan., Kojima N; Division of Sustainable Energy and Environmental Engineering, Graduate School of Engineering, Osaka University, 2-1 Yamadaoka, Suita, Osaka 565 0871, Japan., Dos Muchangos LS; Division of Sustainable Energy and Environmental Engineering, Graduate School of Engineering, Osaka University, 2-1 Yamadaoka, Suita, Osaka 565 0871, Japan., Machimura T; Division of Sustainable Energy and Environmental Engineering, Graduate School of Engineering, Osaka University, 2-1 Yamadaoka, Suita, Osaka 565 0871, Japan., Tokai A; Division of Sustainable Energy and Environmental Engineering, Graduate School of Engineering, Osaka University, 2-1 Yamadaoka, Suita, Osaka 565 0871, Japan.
Source: The Science of the total environment [Sci Total Environ] 2018 May 01; Vol. 622-623, pp. 861-868. Date of Electronic Publication: 2017 Dec 13.
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Country of Publication: Netherlands NLM ID: 0330500 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-1026 (Electronic) Linking ISSN: 00489697 NLM ISO Abbreviation: Sci Total Environ Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1879-1026
DOI:10.1016/j.scitotenv.2017.12.032