| 基于主成分分析法的葡萄酒质量评价 |
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| 引用本文： | 张兴,何冰清,李进,朱家明.基于主成分分析法的葡萄酒质量评价[J].六安师专学报,2013(2):29-32. |
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| 作者姓名： | 张兴 何冰清 李进 朱家明 |
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| 作者单位： | [1]安徽财经大学金融学院,安徽蚌埠233030 [2]安徽财经大学统计与应用数学学院,安徽蚌埠233030 |
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| 基金项目： | 国家自然科学基金项目（71171001）资助. |
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| 摘 要： | 针对葡萄酒的质量，通过有关数据分析，运用Matlab中主成分分析方法提取主要影响指标，在此基础上，运用模糊C均值聚类方法得到酿酒葡萄和葡萄酒的理化指标，并在一定程度上反映了它们的质量。运用相关系数分析和典型相关分析方法，得到酿酒葡萄和葡萄酒的各项理化、感官指标及质量问题间的关系。
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| 关 键 词： | 葡萄酒 理化指标 主成分分析 模糊C均值聚类 matlab7 1 |
The Evaluation of the Quality of Wine Based on the Statistical Analysis |
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| Authors: | ZHANG Xing HE Bing-qing LI Jin ZHU Jia-ming |
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| Institution: | 1. Financial institute, Anhui University of Finance and Economics Bengbu college, Bengbu 233030, China; 2. Statistics and applied mathematics, Anhui University of Finance and Economics Bengbu college, Bengbu 233030, China) |
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| Abstract: | According to the quality problem of the wine, by the relevant data analysis, use of Matlab, and the method of principal component analysis to select main influence index extraction, we use the fuzzy c-means clustering method to get physical and chemical index of wine grape wine and wine grape which will reflect the quality of them in a certain extent, And the correlation coefficient analysis and canonical correlation analysis method to get sensory various physical and chemical index and the relationship of the quality problem of wine grape and wine. |
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| Keywords: | wine Physical and chemical index Principal component analysis Fuzzy c-means clustering （FCM） matlab7 1 |
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