| 基于栅格数据的空间聚类 |
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| 引用本文： | 李敏. 基于栅格数据的空间聚类[J]. 信息安全与技术, 2013, 0(6): 74-76 |
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| 作者姓名： | 李敏 |
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| 作者单位： | 天津赛维斯科技有限公司,天津300450 |
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| 摘 要： | 空间聚类是GIS空间分析的主要内容之一,传统矢量空间聚类算法存在数据冗余、结果不直观等弊端,介绍了基于栅格数据的空间聚类,并且针对现下主流的网格和密度方法的聚类算法存在效率和质量问题,提出了与栅格相结合的聚类挖掘算法,以期得到时间效率和聚类质量上的提高。
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| 关 键 词： | 栅格 空间聚类 地图代数 距离变换 |
Spatial Clustering Based on Raster Data |
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| Li Min. Spatial Clustering Based on Raster Data[J]. Information Security and Technology, 2013, 0(6): 74-76 |
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| Authors: | Li Min |
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| Affiliation: | Li Min (Wise Technology Co., Ltd. Tianjin 300450) |
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| Abstract: | Spatial clustering is one of the main contents of GIS spatial analysis, the traditional vector space clustering algorithms such as data redundancy, the result is not intuitive, spatial clustering based on raster data is introduced, and according to the current mainstream method of grid and density clustering algorithm efficiency and the quality problems, and put forward the combined with grid clustering algorithm for mining, in order to have time to improve the efficiency and the clustering quality. |
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| Keywords: | raster spatial clustering the map algebra distance transformation |
| 本文献已被 CNKI 维普 等数据库收录！ |
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