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香烟评吸质量指标的主成分和聚类分析 被引量:8

Principal Component Analysis and Cluster Analysis of Cigarette Smoking Indicators Quality
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摘要 应用R统计建模语言,对293条数据记录的11个评吸指标进行主成分分析和聚类分析,按照方差累积贡献率85%提取了3个主成分,通过计算各品牌的主成分得分和综合得分值,分析出香气韵调、香气质等几个主要指标。根据聚类分析结果,将11个评吸指标聚为3类。 Principal component analysis and cluster analysis were conducted on 11 smoking indicators of 293 data by using the language of statistical modeling R. According to the accumulated contribution ratio to the variance over 85% from the total information reflected by 11 smoking indicators,3 principal components were extracted, and based on the scores of the principal components and the general score, the major indictor of the size of aroma rhyme, aroma quality. The 11 smoking indicators were divided into 3 groups.
出处 《农业网络信息》 2009年第8期119-121,共3页 Agriculture Network Information
基金 云南中烟工业公司科技项目"区域因素对卷烟配方设计的影响及相关性分析研究"(合同号:2006JC02)
关键词 主成分分析 聚类分析 评吸指标 R语言 principal component analysis gluster analysis smoking indicators R language
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  • 1余建英,何旭宏.数据统计分析与SPSS应用[M].北京:人民邮电出版社,2005.
  • 2YC/T 138-1998,烟草及烟草制品感官评价方法[S].
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