基于地图代数的空间聚类

Jianbo Zhang, Jiping Liu, Bei Wang
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引用次数: 1

摘要

空间聚类分析是空间数据挖掘领域的一个重要问题。在研究了空间聚类的一般方法的基础上,基于地图代数的距离变换,设计了聚类模型,提出了一种基于地图代数的空间聚类方法。最后,利用武汉市居民娱乐地理空间统计数据进行实验,得出了合理的城市居住区休闲活动集群。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Spatial cluster based on map algebra
The analysis of spatial cluster is an important issue in the field of spatial data mining. After investigating the general approaches of spatial cluster, based on the distance transformation of map algebra, a clustering model is designed, and an approach of spatial cluster Based on Map algebra is proposed. Finally, the experiments has been executed with the geo-spatial statistical data about the Entertainment of Wuhan residents, the result represents reasonable Leisure Activities cluster for urban residential areas.
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