[Determination of metal ions in tobacco and application of clustering analysis].
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.
Sun
Yu-An
YA
Department of Applied Chemistry, Zhengzhou University of Light Industry, Zhengzhou 450002, China.
Wang
Guo-Qing
GQ
Cheng
Ding-Xi
DX
Yan
Ke-Yu
KY
Li
Xing-Bo
XB
Xie
Bing
B
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
D008670:Metals; D008345:Manganese; D008274:Magnesium; D015032:Zinc; D011188:Potassium