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| 一种求解空间数据聚类的粒子动力学演化算法* | |
| 引用本文： | 黄学雨,季冰川,潘伟丰,刘琮,徐红伟.一种求解空间数据聚类的粒子动力学演化算法*[J].计算机应用研究,2009,26(3):860-863. |
| 作者姓名： | 黄学雨 季冰川 潘伟丰 刘琮 徐红伟 |
| 作者单位： | 1. 江西理工大学,信息工程学院,江西,赣州,341000 2. 武汉大学,软件工程国家重点实验室,武汉,430072 3. 上海大学,通信与信息工程学院,上海,200072 |
| 基金项目： | 国家自然科学基金资助项目（40761017）；江西省研究生创新基金资助项目（YC07A073） |
| 摘 要： | 从空间数据挖掘的基本概念出发，阐述了空间数据的特点及空间数据挖掘的常规方法，分析了用常规方法进行数据挖掘的不足，提出了一种求解空间数据聚类的粒子动力学演化算法——SDCPDEA。该方法有效地避免了用常规方法进行空间数据聚类时的缺陷，增强了聚类分析方法的灵活性和有效性。实验结果表明，对于空间数据的聚类分析问题，该算法具有很好的性能。 |
| 关 键 词： | 空间数据 数据挖掘 聚类 |
Novel particle dynamical evolutionary algorithm for spatial data clustering |
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| HUANG Xue-yu,JI Bing-chuan,PAN Wei-feng,LIU Cong,XU Hong-wei.Novel particle dynamical evolutionary algorithm for spatial data clustering[J].Application Research of Computers,2009,26(3):860-863. | |
| Authors: | HUANG Xue-yu JI Bing-chuan PAN Wei-feng LIU Cong XU Hong-wei |
| Affiliation: | (1.School of Information Engineering, Jiangxi University of Science & Technology, Ganzhou Jiangxi 341000, China; 2.State Key Laboratory of Software Engineering, Wuhan University, Wuhan 430072, China; 3.School of Communication & Information Engineering, Shanghai University, Shanghai 200072, China) |
| Abstract: | This paper analyzed the features of the spatial data, giving a brief introduction to the challenges facing many researchers in spatial data mining and the difficulties and shortages of traditional methods in clustering analysis of spatial data. And finally proposed a novel particle dynamical evolutionary algorithm for spatial data clustering (SDCPDEA). It effectively solved the two main problems in clustering analysis of spatial data and effectively enhancedthe flexibility and efficiency of the clustering analysis. In numerical experiments, it used this method to solve some clustering problems in spatial data. Compared with the traditional methods, SDCPDEA has better performances. |
| Keywords: | spatial data data mining(DM) clustering |
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