| 两种聚类算法的比较与实现 |
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| 引用本文： | 周莹.两种聚类算法的比较与实现[J].电脑编程技巧与维护,2013(8):28-30. |
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| 作者姓名： | 周莹 |
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| 作者单位： | 辽宁行政学院信息技术系,沈阳,110161 |
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| 摘 要： | 基于统计的系统聚类分析是一种重要的数据挖掘算法。研究了一种多重系统聚类模型及其算法实现，把变量聚类和样本聚类相结合，并使用了两种方法赋值样本数据阵，使聚类结果更加直观。
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| 关 键 词： | 聚类 数据挖掘 知识发现 |
Two Kinds of Clustering Algorithm Comparison and Implementation |
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| ZHOU Ying.Two Kinds of Clustering Algorithm Comparison and Implementation[J].Computer Programming Skills & Maintenance,2013(8):28-30. |
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| Authors: | ZHOU Ying |
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| Affiliation: | ZHOU Ying(Liaoning School of Administration Information Technology Department,Shenyang 110161,China) |
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| Abstract: | System clustering analysis based on statistics is one of the most important mining algorithms. In this paper, we propose a model of multilevel system clustering and its algorithm achieve, which integrates Q-clustering with R-clustering, And then in this algorithm, using two methods to express sample data. Making the result of clustering been more directly. |
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| Keywords: | clustering Data Mining KDD |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
