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Comparison and application of SOFM, fuzzy c-means and k-means clustering algorithms for natural soil environment regionalization in China.
Zhao, Wenhao; Ma, Jin; Liu, Qiyuan; Song, Jing; Tysklind, Mats; Liu, Chengshuai; Wang, Dong; Qu, Yajing; Wu, Yihang; Wu, Fengchang.
Afiliación
  • Zhao W; State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, 100012, China.
  • Ma J; State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, 100012, China. Electronic address: majin@craes.org.cn.
  • Liu Q; State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, 100012, China.
  • Song J; State Key Laboratory of Soil Environment and Pollution Remediation, Institute of Soil Science, Chinese Academy of Sciences, Nanjing, 210008, China.
  • Tysklind M; Department of Chemistry, Umeå University, Umeå, 90187, Sweden.
  • Liu C; State Key Laboratory of Environmental Geochemistry, Institute of Geochemistry, Chinese Academy of Sciences, Guiyang, 550081, China.
  • Wang D; Department of Chemistry, Umeå University, Umeå, 90187, Sweden.
  • Qu Y; State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, 100012, China.
  • Wu Y; State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, 100012, China.
  • Wu F; State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, 100012, China.
Environ Res ; 216(Pt 2): 114519, 2023 01 01.
Article en En | MEDLINE | ID: mdl-36252833
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Suelo / Algoritmos País/Región como asunto: Asia Idioma: En Revista: Environ Res Año: 2023 Tipo del documento: Article País de afiliación: China
Texto completo
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Suelo / Algoritmos País/Región como asunto: Asia Idioma: En Revista: Environ Res Año: 2023 Tipo del documento: Article País de afiliación: China