Title
An application of fuzzy c-means clustering analysis to classification of tobaccos based on their rare earth elements contents
Abstract
Eighty eight tobacco samples from six provinces in China, of which the contents of rare earth elements (REEs) were determined by microwave digestion-inductively coupled plasma mass spectrometry method. A fuzzy clustering method, fuzzy c-means (FCM), was used for classification of the different kinds of tobaccos based on their contents of REEs. The results show that FCM clustering analysis is a valid method for classification of tobaccos to some extent. The relationship between the contents of REEs in tobaccos and the geographical origins is also confirmed.
Year
DOI
Venue
2010
10.1109/FSKD.2010.5569617
FSKD
Keywords
Field
DocType
geographical origins,fuzzy set theory,pattern clustering,rare earth element,fuzzy c-means cluster,tobaccos classification,clustering analysis,inductively coupled plasma mass spectrometry,microwave digestion,rare earth metals,tobaccos,tobacco products,mass spectroscopy,fuzzy c-means clustering analysis,classification,rare earth elements contents,spectroscopy,clustering algorithms,cluster analysis,algorithm design and analysis,classification algorithms,plasmas,fuzzy clustering
Fuzzy clustering,Data mining,Pattern recognition,Pattern clustering,Rare earth,Computer science,Fuzzy logic,Fuzzy set,Artificial intelligence,Statistical classification,Cluster analysis
Conference
Volume
ISBN
Citations 
1
978-1-4244-5931-5
1
PageRank 
References 
Authors
0.37
1
6
Name
Order
Citations
PageRank
Yuan Sun110.37
Shiqiu Song210.37
Guoqing Wang310.37
Zhenxing Li410.70
Zhengbo Xu510.37
Lifang Wei611.04