| 一种区域型模糊聚类算法 |
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| 引用本文： | 黄晓斌,马晓岩,秦江敏.一种区域型模糊聚类算法[J].计算机工程与应用,2002,38(21):90-92,209. |
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| 作者姓名： | 黄晓斌 马晓岩 秦江敏 |
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| 作者单位： | 空军雷达学院信息工程系,武汉,430010 |
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| 摘 要： | 使用支撑集和模糊待分集的概念来描述数据集的分布,在此基础上提出了一种区域型模糊聚类算法———re-gionalfuzzyclusteringalgorithm。仿真结果表明该算法有比常用的模糊C均值更好的聚类性能。
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| 关 键 词： | 模糊C均值(FCA) 区域型模糊聚类算法(RFCA) 超盒分类器 |
| 文章编号： | 1002-8331-(2002)21-0090-03 |
A Novel Regional Fuzzy Clustering Algorithm |
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| Huang Xiaobin Ma,Xiaoyan Qin Jiangmin.A Novel Regional Fuzzy Clustering Algorithm[J].Computer Engineering and Applications,2002,38(21):90-92,209. |
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| Authors: | Huang Xiaobin Ma Xiaoyan Qin Jiangmin |
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| Abstract: | By using supporting set and fuzzy under-classifying set to describe the distribution of dataset,based on it,this paper presents a novel regional fuzzy clustering algorithm.The simulation results show s that this algorithm has better clustering performance than the common fuzzy C-mean algorithm. |
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| Keywords: | fuzzy C-means algorithm(FCA) regional fuzzy clustering algorithm(RFCA) super-box classifier |
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