| 空间数据模糊聚类的有效性评价 |
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| 引用本文： | 胡春春,孟令奎,谢文君,周新忠.空间数据模糊聚类的有效性评价[J].武汉大学学报(信息科学版),2007,32(8):740-743. |
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| 作者姓名： | 胡春春 孟令奎 谢文君 周新忠 |
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| 作者单位： | 武汉大学遥感信息工程学院,武汉市珞喻路,129号,430079 |
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| 基金项目： | 国家高技术研究发展计划(863计划) |
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| 摘 要： | 基于模糊划分中存在的分类不确定性因素和空间数据的空间位置特征,提出了一种新的空间数据模糊聚类有效性函数。实验结果表明,这种新的有效性函数能够对模糊聚类结果的有效性进行正确的评价,特别是对于空间数据模糊聚类有效性评价,其分类效果较理想,同其他有效性指标相比,能得到较优的分类数。
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| 关 键 词： | 模糊聚类 空间数据 有效性 |
| 文章编号： | 1671-8860（2007）08-0740-04 |
| 修稿时间： | 2007-06-16 |
Validity Measure on Fuzzy Clustering for Spatial Data |
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| HU Chunchun,MENG Lingkui,XIE Wenjun,ZHOU Xinzhong.Validity Measure on Fuzzy Clustering for Spatial Data[J].Geomatics and Information Science of Wuhan University,2007,32(8):740-743. |
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| Authors: | HU Chunchun MENG Lingkui XIE Wenjun ZHOU Xinzhong |
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| Institution: | 1 School of Remote Sensing and Information Engineering, Wuhan University, 129 Luoyu Road, Wuhan 430079, China |
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| Abstract: | The validity index of the result produced by fuzzy clustering based on two aspects is studied, which are the uncertainty of classification during fuzzy partition and spatial location feature of spatial data, and a new validity function of fuzzy clustering for spatial data is proposed. The experimental result indicates that the new validity index can accurately measure the validity of the result of fuzzy clustering. Specially, for the result of fuzzy clustering of spatial data, it is robust and its classification result is more perfect compared with other indices. |
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| Keywords: | fuzzy clustering spatial data validity |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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