| 一种基于改进型遗传算法的模糊聚类 |
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| 引用本文： | 殷晓明,顾幸生.一种基于改进型遗传算法的模糊聚类[J].华东理工大学学报(自然科学版),2006,32(7):849-851. |
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| 作者姓名： | 殷晓明 顾幸生 |
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| 作者单位： | 华东理工大学自动化研究所 上海200237 |
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| 摘 要： | 针对模糊C均值算法(FCM算法)难以达到全局最优解的问题,引入了具有全局搜索能力的遗传算法以解决聚类问题,并在标准遗传算法基础上进行了改进。将该算法运用于IR IS数据的聚类,实现了较好的聚类,从而验证了算法的有效性。
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| 关 键 词： | 聚类 FCM算法 遗传算法 |
| 文章编号： | 1006-3080（2006）07-0849-03 |
| 收稿时间： | 2006-02-20 |
| 修稿时间： | 2006年2月20日 |
Fuzzy Clustering Based on Improved Genetic Algorithm |
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| YIN Xiao-ming, GU Xing-sheng.Fuzzy Clustering Based on Improved Genetic Algorithm[J].Journal of East China University of Science and Technology,2006,32(7):849-851. |
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| Authors: | YIN Xiao-ming GU Xing-sheng |
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| Abstract: | An algorithm based on the fuzzy C-means(FCM) was introduced.but it was difficult to get the globally optimal solution by this algorithm.The genetic algorithm,which is good at searching the globally optimal solution,was adopted for clustering.And some improvement is made.Finally,this enhanced genetic algorithm is used on the clustering of IRIS data with 150 numbers of the swatch.Simulation result shows the improved genetic algorithm is efficient contrast with FCM. |
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| Keywords: | clustering fuzzy C-means genetic algorithm |
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