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基于主成分分析和聚类分析的烤烟质量评价模型构建
引用本文:叶协锋,魏跃伟,杨字熙,陈秀花,黄元炯,李亚娟,李东霞,刘国顺.基于主成分分析和聚类分析的烤烟质量评价模型构建[J].农业系统科学与综合研究,2009,25(3):268-271,276.
作者姓名:叶协锋  魏跃伟  杨字熙  陈秀花  黄元炯  李亚娟  李东霞  刘国顺
作者单位:1. 河南农业大学,国家烟草栽培生理生化研究基地,烟草行业栽培重点实验室,河南,郑州450002
2. 河南省烟草公司,河南,郑州,450003
3. 山东平邑烟草公司,山东,平邑,273300
基金项目:国家烟草专卖局重点科研项目 
摘    要:为了建立更为科学、客观的烟叶质量评价方法,采用外观质量评价与常规化学成分评价相结合的方法,研究8个外观质量指标和8个化学成分指标,建立了基于主成分分析和聚类分析的Fisher判别函数的烟叶质量评价模型,并对河南省平顶山市42个烟叶样品进行了分类。采用主成分分析方法共提取了6个主成分,并对各个样品6个主成分得分进行聚类分析,同时根据6个主成分得分和聚类分析结果进行判别分析,对比Fisher判别函数和聚类分析的结果,两者有较好的一致性。因此,可以利用这个烟叶评价模型对烟叶进行质量评价。这使得烟叶质量评价方法更加客观,也开辟了烟叶质量评价的新途径。表5,参16。

关 键 词:烤烟  质量评价  主成分分析  聚类分析  判别分析

Model of the Quality Evaluation of Flue-cured Tobacco Based on Principal Component Analysis and Cluster Analysis
YE Xie-feng,WEI Yue-wei,YANG Yu-xi,CHEN Xiu-hua,HUANG Yuan-jiong,LI Ya-juan,LI Dong-xia,LIU Guo-shun.Model of the Quality Evaluation of Flue-cured Tobacco Based on Principal Component Analysis and Cluster Analysis[J].System Sciemces and Comprehensive Studies In Agriculture,2009,25(3):268-271,276.
Authors:YE Xie-feng  WEI Yue-wei  YANG Yu-xi  CHEN Xiu-hua  HUANG Yuan-jiong  LI Ya-juan  LI Dong-xia  LIU Guo-shun
Institution:YE Xie-feng, WEI Yue-wei, YANG Yu-xi, CHEN Xiu-hua, HUANG Yuan-jiong, LI Ya-juan, LI Dong-xia, LIU Guo-shun( 1. National Tobacco Cultivation and Physiology & Biochemistry Research Centre of He' nan Agricultural University, Tobacco Cultivation Key Laboratory of Tobacco Monopoly Department, Zhengzhou 450002, China ; 2 He'nan Tobacco Comparty, Zhertgzhou 450003, China; 3. Pingyi Tobacco Company of Shandong province, Pingyi 273300, China )
Abstract:To be more scientific and more external,combined with appearance evaluation method and conventional chemical evaluation method,8 appearaace quality characteritics and 8 chemical quality characteristics were researched. And a flue-cured quality evaluation model was es-tablished based on principal component analysis,cluster analysis and Fisher discriminant functions. 42 samples were classified with this model in Ping ding-shan city He' nan Provice. 6 main components were extracted with principal component analysis. 42 samples were clustered by 6 main components scores with cluster analysis. Discriminant analysis used based on 6 main components scores and the result of cluster analysis.The model was acceptable because the results of Fisher discriminant functions and cluster analysis had a well consistent with each other. Ac-cordingly, this study suggested that the model be a new method with more external evaluation for tobacco quality.
Keywords:flue- cured tobacco  quality evaluation  principal component analysis  cluster analysis  discriminant analysis
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