| 模糊C-均值聚类分析系统设计与实现 |
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| 引用本文： | 白瑞祥,李若岩,宋辉.模糊C-均值聚类分析系统设计与实现[J].天津科技大学学报,2005,20(4):52-55. |
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| 作者姓名： | 白瑞祥 李若岩 宋辉 |
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| 作者单位： | 天津科技大学电子信息与自动化学院,天津,300222 |
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| 摘 要： | 采用模糊C-均值技术设计了工业监控数据聚类分析系统，给出了聚类算法及实现步骤，采用VC＋＋程序来实现，通过．实验测试和实例数据分析，表明该聚类算法针对工业监控数据存在不确定性、有噪声及多模态性等特点有较好的鲁棒性和适应性。
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| 关 键 词： | 数据挖掘 模糊C-均值 聚类分析 VC＋＋6．0 |
| 文章编号： | 1672-6510(2005)04-0052-04 |
| 修稿时间： | 2005年4月1日 |
Design and Realization of Clustering Analysis System Based on Fuzzy C -Means |
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| BAI Rui-xiang,LI Ruo-yan,SONG Hui.Design and Realization of Clustering Analysis System Based on Fuzzy C -Means[J].Journal of Tianjin University of Science & Technology,2005,20(4):52-55. |
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| Authors: | BAI Rui-xiang LI Ruo-yan SONG Hui |
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| Abstract: | Based on Fuzzy C-Means technology, an analysis system of industrial process data with the clustering analysis algorithm is designed. The clustering analysis algorithm and its actualizing process are introduced, and the algorithm has been realized by VC + + . Tested and analyzed by example data, it is proved that the system has strong robustness and adaptability in industrial process data analysis to uncertainty, noise, multi-mode and so on. |
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| Keywords: | data mining FCM(Fuzzy C-Means) clustering analysis VC ++6 0 |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
