| 主成分分析与聚类分析在奶牛评定方面的应用 |
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| 引用本文： | 刘桂苹,贾永全,曹宏伟.主成分分析与聚类分析在奶牛评定方面的应用[J].黑龙江八一农垦大学学报,2003,15(3):86-89. |
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| 作者姓名： | 刘桂苹 贾永全 曹宏伟 |
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| 作者单位： | 黑龙江八一农垦大学动物科技学院,密山,158308 |
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| 摘 要： | 利用主成分分析与聚类分析的方法对八五一一农场奶牛进行了评定,结果表明:利用主成分分析和聚类分析方法进行奶牛评定及分类是可行的。具有其它分析方法不具备的优点。应用此种分析方法进行奶牛评定表明,在奶牛评定的10个指标中,体高、尻角度和后房高度3个指标是影响奶牛评分的三个主要因素。
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| 关 键 词： | 主成分分析 聚类分析方法 累积贡献率 |
| 文章编号： | 1002-2090(2003)03-0086-04 |
| 修稿时间： | 2003年6月10日 |
The Application of Principal Component Analysis and Cluster Analysis in Cow Evaluation |
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| LIU Gui-ping,JIA Yong-quan,CAO Hong-wei.The Application of Principal Component Analysis and Cluster Analysis in Cow Evaluation[J].Journal of Heilongjiang August First Land Reclamation University,2003,15(3):86-89. |
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| Authors: | LIU Gui-ping JIA Yong-quan CAO Hong-wei |
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| Abstract: | This article applies the methods of principal component analysis and cluster analysis to evaluate the cows from Farm 8511, and the result showed that using the methods of principal component analysis and cluster analysis to assess the cows is feasible. It has the advantages that other methods don't have. This analysis showed, in the ten indexes which are used to assess cows, the body height, buttock angle, and the height of back mamma are the three main factors in affecting the cow evaluation. |
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| Keywords: | principal component analysis cluster analysis accumulating contribution rate |
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