| 基于样本密度的FCM改进算法 |
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| 引用本文： | 黎俊锋 朱锋峰. 基于样本密度的FCM改进算法[J]. 科学技术与工程, 2007, 7(4): 636-638 |
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| 作者姓名： | 黎俊锋 朱锋峰 |
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| 作者单位： | 华南理工大学数学科学学院应用数学系,广州,510640;华南理工大学数学科学学院应用数学系,广州,510640 |
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| 摘 要： | 从聚类中心的直观属性出发,选取样本中密度较大的点作为FCM算法的初始聚类中心。解决了FCM算法对初始值敏感、收敛结果容易陷入局部极小等问题。实验结果证明这一算法的合理性和有效性。
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| 关 键 词： | FCM算法 聚类中心 样本密度 |
| 文章编号： | 23646968 |
| 修稿时间： | 2006-10-09 |
Improved FCM Algorithm Based on the Density of Samples |
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| LI Jun-feng,ZHU Feng-feng. Improved FCM Algorithm Based on the Density of Samples[J]. Science Technology and Engineering, 2007, 7(4): 636-638 |
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| Authors: | LI Jun-feng ZHU Feng-feng |
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| Affiliation: | Department of Applied Mathematics, School of Mathematical Sciences, South China University of Technology, Guangzhou 510640,P.R.China |
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| Abstract: | By the intuitionist property of cluster centroid,the data points of greater density are selected as the initial centroid of clusters.With this improvement,the algorithm has overcome the typical FCM drawbacks such as the sensitivity to initialization and the tendency to get trapped in local minima.Experimental results have testified the feasibility and validity of the algorithm. |
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| Keywords: | FCM cluster centroid density of samples |
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