| K-Means聚类算法在毕业生就业信息分析中的实现 |
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| 引用本文： | 王俊鑫,王俊洁,孙英. K-Means聚类算法在毕业生就业信息分析中的实现[J]. 楚雄师范学院学报, 2009, 24(9): 9-11,15 |
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| 作者姓名： | 王俊鑫 王俊洁 孙英 |
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| 作者单位： | 1. 西安电子科技大学通信工程学院,陕西,西安,710071;楚雄师范学院经济信息管理及计算机应用系,云南,楚雄,675000
2. 楚雄师范学院计算机科学系,云南,楚雄,675000 |
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| 摘 要： | 聚类是指按照事物间的相似性对事物进行区分和分类的过程,是在无指导下自动进行的无监督分类。本文应用数据挖掘技术中的聚类分析,对毕业生就业信息进行研究,介绍了K-Means算法和K-Means算法在毕业生就业信息分析中的应用。
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| 关 键 词： | 数据挖掘 聚类分析 K-Means 就业分析 |
Realization of K-Means Clustering Algorithm in the Information Analysis of Graduate Employment |
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| WANG Jun-xin,WANG Jun-jie,SUN Ying. Realization of K-Means Clustering Algorithm in the Information Analysis of Graduate Employment[J]. journal of chuxiong normal university, 2009, 24(9): 9-11,15 |
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| Authors: | WANG Jun-xin WANG Jun-jie SUN Ying |
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| Affiliation: | WANG Jun-xin1,2,WANG Jun-jie3,SUN Ying3(1.School of Telecommunication Engineering,Xidian University,Xian 710071,China,2.Deparment of Econamic Information Management & Computer Application,Chuxiong Normal University,Chuxiong 675000,3.Department of Computer Science,China) |
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| Abstract: | Clustering is a distinction between things and classification process which refers to things in accordance with the similarity.It is a non-supervised classification under the guidance of the non-automatic.Based on the cluster analysis of data mining technology,this article studies on the information of graduate employment,and introduces K-means algorithm and its application in the information analysis of graduate employment. |
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| Keywords: | K-Means |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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