| 我国人口受教育程度分类模型 |
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| 引用本文： | 潘晓君. 我国人口受教育程度分类模型[J]. 北华航天工业学院学报, 2007, 17(3): 58-59 |
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| 作者姓名： | 潘晓君 |
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| 作者单位： | 北华航天工业学院,机械工程系,河北,廊坊,065000 |
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| 摘 要： | 模糊聚类分析是研究将事物进行分类的科学,其目的是利用一定的数学方法将研究的样品或变量归并为若干类,使得每一类中的所有个体之间具有密切的关系,而不同类之间个体关系相对比较疏远.本文用模糊聚类方法将我国人口受教育程度分成了四类的模式,按该模式可以对其他省市进行了预测分类.
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| 关 键 词： | 模糊聚类 教育程度 分类模式 |
| 文章编号： | 1673-7938（2007）03-0058-02 |
| 修稿时间： | 2007-04-20 |
Classification Model of Chinese Population Educational Degree |
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| PAN Xiao-jun. Classification Model of Chinese Population Educational Degree[J]. Journal of North China Institute of Aerospace Engineering, 2007, 17(3): 58-59 |
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| Authors: | PAN Xiao-jun |
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| Affiliation: | Mechanical Engineering Department, North China Institute of Aerospace Engineering, Langfang 065000,China |
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| Abstract: | The method of fuzzy clustering analysis is a science of classification. In this article, Chinese Population educational degree is classified into four classes by fuzzy clustering analysis. The model will offers a better choice to evaluate Population educational degree of other provinces. |
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| Keywords: | fuzzy clustering analysis educational degree Classification Model |
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