| K-means聚类算法研究 |
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| 引用本文： | 孙庚,冯艳红,郭显久,张春平.K-means聚类算法研究[J].长春师范学院学报,2011(2):1-4. |
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| 作者姓名： | 孙庚 冯艳红 郭显久 张春平 |
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| 作者单位： | 大连海洋大学信息工程学院;黑龙江工程学院土木与建筑工程学院; |
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| 摘 要： | K-means算法作为聚类分析算法,已被广泛地应用到诸多领域。本文研究了K-means算法的基本原理,并将其应用到高校学生入学信息分析中。高考学生入学的相关信息包含了大量重要的学习及其他方面的信息,对这些数据信息进行分析和研究,有助于教师对不同类别的学生进行不同方式的教学,做到因材施教。首先对学生的入学信息数据进行预处理,然后使用K-means算法,对学生信息进行分类评价;最后利用所获得的分类结果指导学生在大学期间的学习方向以及教师对学生的培养工作。
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| 关 键 词： | 聚类 K-means 学生信息 |
Research on K-means Clustering Algorithm |
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| SUN Geng,FENG Yan-hong,GUO Xian-jiu,ZHANG Chun-ping.Research on K-means Clustering Algorithm[J].Journal of Changchun Teachers College,2011(2):1-4. |
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| Authors: | SUN Geng FENG Yan-hong GUO Xian-jiu ZHANG Chun-ping |
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| Institution: | SUN Geng1,FENG Yan-hong1,GUO Xian-jiu1,ZHANG Chun-ping2(1.School of Information Engineering,Dalian Ocean University,Dalian 116023,China,2.School of Civil and Building Engineering,Heilongjiang Institute of Technology,Harbin 150050,China) |
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| Abstract: | As a kind of clustering analysis algorithm,K-means algorithm has widely been applied to various fields.In this paper,we research the basic principle of this algorithm and apply it to information analysis of senior school students.The information about senior school students' entrance includes much important information about t study and other aspects.Analyzing and researching these data and information are helpful for universities to carry out college education and realize individualized instruction.Firstly... |
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| Keywords: | clustering K-means students' information |
| 本文献已被 CNKI 等数据库收录！ |
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