| 基于粒子群的模糊聚类算法研究 |
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| 引用本文： | 李衍君.基于粒子群的模糊聚类算法研究[J].佳木斯工学院学报,2012(2):281-284. |
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| 作者姓名： | 李衍君 |
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| 作者单位： | 重庆大学自动化学院,重庆400030 |
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| 摘 要： | 利用模糊c均值（FCM）算法是一种最流行的模糊聚类的方法,因为它的效率,计算简单,容易实现.但是针对FCM对初始化敏感和易陷入局部最优解,在本文出了一种基于粒子群算法的模糊聚类.仿真实验结果表明了该方法对有效性和全局性优化.
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| 关 键 词： | 模糊c均值 模糊聚类 粒子群优化算法 |
A Research for Fuzzy Clustering Method Based on PSO |
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| Authors: | LI Yan-jun |
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| Affiliation: | LI Yan-jun(College of Automation,Chongqing University,Chongqing 400044,China) |
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| Abstract: | Fuzzy c-means（FCM） algorithm is one of the most popular fuzzy clustering techniques because it is efficient,straightforward,and easy to implement.However,the FCM is sensitive to initialization and is easily trapped in local optima.In this paper,a hybrid fuzzy clustering method based on PSO is proposed.The simulation results show that the proposed method can optimize efficiently and globally. |
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| Keywords: | Fuzzy c-means fuzzy clustering particle swarm optimization |
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