| 一种基于旋转超盒和引力场融合的聚类算法 |
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| 引用本文： | 张燕,贾焰,黄晓斌.一种基于旋转超盒和引力场融合的聚类算法[J].计算机研究与发展,2008,45(Z1):250-254. |
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| 作者姓名： | 张燕 贾焰 黄晓斌 |
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| 作者单位： | 1. 国防科学技术大学计算机学院,长沙,410073
2. 空军雷达学院信息与指挥自动化系,武汉,430010 |
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| 基金项目： | 国家重点基础研究发展计划(973计划) |
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| 摘 要： | 针对传统聚类算法处理复杂分布数据的不足,提出了一种新型的基于旋转超盒和引力场融合的聚类算法.该算法由1)数据集归一化;2)利用旋转超盒构造初始类别;3)借助引力场概念对初始类别进行融合3个步骤构成.仿真结果表明,该算法在无需聚类数目的情况下,对复杂分布数据具有很好的聚类效果.
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| 关 键 词： | 旋转超盒 模糊C均值聚类算法(FCA) 引力场融合 |
| 修稿时间： | 2007年7月10日 |
A Novel Clustering Method Based-on Rotated Super-Box and Gravitation Fusion |
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| Zhang Yan,Jia Yan,Huang Xiaobin.A Novel Clustering Method Based-on Rotated Super-Box and Gravitation Fusion[J].Journal of Computer Research and Development,2008,45(Z1):250-254. |
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| Authors: | Zhang Yan Jia Yan Huang Xiaobin |
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| Affiliation: | Zhang Yan1,Jia Yan1,, Huang Xiaobin21(School of Computer Science,National University of Defense Technology,Changsha 410073)2(Department of Information Comm, Automation Engineering,Air Force Radar Academy,Wuhan 430010) |
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| Abstract: | To the shortage of traditional clustering algorithm when dealing data with complicated distribution, a novel hierarchical clustering method based-on the rotated super-box and gravitation fusion(RBGFCA) is presented in this paper. This algorithm consists of three parts: (a)uniform for data; (b) constitution of initial patterns by rotated super-box; (c)fusion of initial patterns with gravitation. The simulation results show that compared to FCA, this algorithm has good clustering performance for data with com... |
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| Keywords: | rotated super-box fuzzy C-means algorithm(FCA) gravitation fusion |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
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