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题名: A random forest of combined features in the classification of cut tobacco based on gas chromatography fingerprinting
作者: Lin, Xiaohui2;  Sun, Lie2;  Li, Yong1;  Guo, Ziming3;  Li, Yanli1;  Zhong, Kejun3;  Wang, Quancai2;  Lu, Xin1;  Yang, Yuansheng2;  Xu, Guowang1
关键词: Random forest ;  Combined features ;  Cut tobacco ;  GC-TOF MS
刊名: TALANTA
发表日期: 2010-09-15
DOI: 10.1016/j.talanta.2010.07.053
卷: 82, 期:4, 页:1571-1575
收录类别: SCI
文章类型: Article
WOS标题词: Science & Technology ;  Physical Sciences
类目[WOS]: Chemistry, Analytical
研究领域[WOS]: Chemistry
英文摘要: We applied the random forest method to discriminate among different kinds of cut tobacco. To overcome the influence of the descending resolution caused by column pollution and the subsequent deterioration of column efficacy at different testing times, we constructed combined peaks by summing the peaks over a specific elution time interval Delta t. On constructing tree classifiers, both the original peaks and the combined peaks were considered. A data set of 75 samples from three grades of the same tobacco brand was used to evaluate our method. Two parameters of the random forest were optimized using out-of-bag error, and the relationship between Delta t and classification rate was investigated. Experiments show that partial least squares discriminant analysis was not suitable because of the overfitting, and the random forest with the combined features performed more accurately than Naive Bayes, support vector machines, bootstrap aggregating and the random forest using only its original features. (C) 2010 Elsevier B.V. All rights reserved.
关键词[WOS]: FLIGHT MASS-SPECTROMETRY ;  MICROARRAY DATA ;  PREDICTION ;  SELECTION
语种: 英语
WOS记录号: WOS:000282480500073
Citation statistics: 
内容类型: 期刊论文
URI标识: http://cas-ir.dicp.ac.cn/handle/321008/142055
Appears in Collections:中国科学院大连化学物理研究所_期刊论文

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作者单位: 1.Chinese Acad Sci, Dalian Inst Chem Phys, CAS Key Lab Separat Sci Analyt Chem, Dalian 116023, Peoples R China
2.Dalian Univ Technol, Dept Comp Sci & Engn, Dalian 116024, Peoples R China
3.China Tobacco Hunan Ind Corp, Ctr Technol, Changsha 410007, Peoples R China

Recommended Citation:
Lin, Xiaohui,Sun, Lie,Li, Yong,et al. A random forest of combined features in the classification of cut tobacco based on gas chromatography fingerprinting[J]. TALANTA,2010,82(4):1571-1575.
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