| 势函数自适应加权模糊C-均值聚类方法 |
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| 引用本文： | 裴继红,谢维信. 势函数自适应加权模糊C-均值聚类方法[J]. 系统工程与电子技术, 1999, 21(12): 73-76 |
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| 作者姓名： | 裴继红 谢维信 |
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| 作者单位： | 1. 西安电子科技大学电子工程学院,710071
2. 深圳大学,518060 |
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| 摘 要： | 提出了一种新的基于势函数自适应加权的模糊 C-均值 ( PAWFCM)聚类算法。该方法以样本的空间势几何结构为基础 ,自适应计算出样本的加权矩阵 ,然后利用加权模糊 C-均值算法对样本集合进行分类。由于自适应地考虑到了不同样本点对分类的影响程度 ,对较复杂的样本集合 ,能明显提高分类的正确性和鲁棒性。算法的几个典型实验也证明了这一点
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| 关 键 词： | 加权函数 模糊算法 自适应处理 |
| 修稿时间： | 1998-12-02 |
Clustering Method of Potential Function Adaptive Weighted Fuzzy C-Mean(PAWFCM) |
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| Pei Jihong,Xie Weixin. Clustering Method of Potential Function Adaptive Weighted Fuzzy C-Mean(PAWFCM)[J]. System Engineering and Electronics, 1999, 21(12): 73-76 |
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| Authors: | Pei Jihong Xie Weixin |
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| Abstract: | A new adaptive weighted fuzzy C mean clustering method based on potential function(PAWFCM)is presented in this paper. Due to different influence to partition by different sampler in feature space be considered, the proposed method can effectively partition perplexing data set, and illustrating its robust. Finally, two compared experiments with FCM method have been made with satisfactory results. |
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| Keywords: | Clustering Potential function Adaptive weighted Fuzzy C Mean(FCM)clustering |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
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