| 基于网格和密度的模糊c均值聚类初始化方法 |
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| 引用本文： | 盛莉,邹开其,邓冠男.基于网格和密度的模糊c均值聚类初始化方法[J].计算机应用与软件,2008,25(3):22-23,45. |
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| 作者姓名： | 盛莉 邹开其 邓冠男 |
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| 作者单位： | 1. 重庆工学院计算机系,重庆,400050
2. 大连大学信息工程学院,辽宁,大连,116622 |
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| 摘 要： | 模糊c均值聚类算法是目前聚类分析中最受欢迎的算法之一,但其聚类效果往往受初始参数的影响.针对这一问题,提出一种基于网格和密度的模糊c均值聚类初始化方法.以网格和密度为工具提取聚类样本的类聚类中心,以此来初始化模糊c均值聚类算法的初始参数,从而弥补原算法的不足.实验证明方法是可行的、有效的.
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| 关 键 词： | 模糊c均值聚类 网格 密度 |
| 收稿时间： | 2007-06-21 |
| 修稿时间： | 2007年6月21日 |
AN INITIALIZATION METHOD FOR FUZZY C-MEANS CLUSTERING ALGORITHM BASED ON CRID AND DENSITY |
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| Sheng Li,Zou Kaiqi,Deng Guannan.AN INITIALIZATION METHOD FOR FUZZY C-MEANS CLUSTERING ALGORITHM BASED ON CRID AND DENSITY[J].Computer Applications and Software,2008,25(3):22-23,45. |
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| Authors: | Sheng Li Zou Kaiqi Deng Guannan |
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| Affiliation: | Sheng Li1 Zou Kaiqi2 Deng Guannan21(Chongqing Institute of Technology,Chongqing 400050,China)2(College of Information Engineering,Dalian University,Dalian 116622,Liaoning,China) |
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| Abstract: | Fuzzy c-means clustering algorithm is one of the most widespread clustering algorithm, Its performance strongly depends on the initial parameters. To solve this problem, an initialization method for fuzzy c-means clustering algorithm based on grid and density is proposed, Grid and density are used to extract the clustering centers of samples, and initialize the initial parameters of fuzzy c-means clustering algorithm. Experiment shows that this method is feasible and valid. |
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| Keywords: | Fuzzy c-means clustering Grid Density |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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