title: [Determination of metal ions in tobacco and application of clustering analysis].
abstract: The contents of potassium, magnesium, sodium, manganese, ferrum and zinc were determined by flame spectrometry and atomic absorption spectrometry respectively. The dataset was clustered by fuzzy c-means (FCM) clustering analysis and hierarchical clustering analysis. It is shown that the results of the FCM clustering analysis are more accurate than those of the hierarchical cluster analysis, and it is with positive meaning to apply FCM clustering analysis to estimating the producing area of tobaccos.
authors.affiliation: Department of Applied Chemistry, Zhengzhou University of Light Industry, Zhengzhou 450002, China.
authors.forename: Yu-An
authors.initials: YA
authors.lastname: Sun
authors.forename: Guo-Qing
authors.initials: GQ
authors.lastname: Wang
authors.forename: Ding-Xi
authors.initials: DX
authors.lastname: Cheng
authors.forename: Ke-Yu
authors.initials: KY
authors.lastname: Yan
authors.forename: Xing-Bo
authors.initials: XB
authors.lastname: Li
authors.forename: Bing
authors.initials: B
authors.lastname: Xie
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D016000:Cluster Analysis; D017143:Fuzzy Logic; D008274:Magnesium / Q000032:analysis; D008345:Manganese / Q000032:analysis; D008670:Metals / Q000032:analysis*; D015233:Models, Statistical; D011188:Potassium / Q000032:analysis; D012984:Software; D014026:Nicotiana / Q000737:chemistry*; D015032:Zinc / Q000032:analysis
chemical_list: D008670:Metals; D008345:Manganese; D008274:Magnesium; D015032:Zinc; D011188:Potassium