k-means adapted algorithm based on spatial contiguity relations
文献类型：EI期刊论文
| 作者 | Wang Haiqi ; Wang Jinfeng |
| 发表日期 | 2006 |
| 英文摘要 | Spatial object has not only non-spatial attribute properties but also spatial properties related with space coordinates and topological structures. When using the traditional clustering methods to classify spatial objects, the objects of the same class may appear in non-adjacent spatial positions because spatial relationships are not been considered. The k-means adapts algorithm based on spatial contiguity relations regards spatial contiguities of the neighboring objects as a restrained condition. So the clustering result not only reflects the similarities of attributes but also reflects spatial adjacent relations, and furthermore reviews spatial distribution patterns of different classes. Therefore, this adapted algorithm is more suitable for the clustering analysis of spatial objects than the traditional k-means method. |
| 出处 | Jisuanji Gongcheng/Computer Engineering
 |
| 卷 | 32期:21页:50-51+75 |
| 收录类别 | EI |
| 语种 | 英语 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/24561]  |
| 专题 | 地理科学与资源研究所_历年回溯文献 |
| 推荐引用方式 GB/T 7714 | Wang Haiqi,Wang Jinfeng. k-means adapted algorithm based on spatial contiguity relations. 2006. |
入库方式： OAI收割
来源：地理科学与资源研究所
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