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郑州-洛阳地区史前连续文化聚落的 K-means聚类挖掘研究
引用本文:毕硕本,闾国年,陈济民.郑州-洛阳地区史前连续文化聚落的 K-means聚类挖掘研究[J].地理与地理信息科学,2007,23(5):48-51.
作者姓名:毕硕本  闾国年  陈济民
作者单位:1. 南京信息工程大学计算机学院,江苏,南京,210044
2. 南京师范大学地理科学学院,江苏,南京,210097
3. 黄河勘测规划设计公司测绘信息工程院,河南,郑州,450045
基金项目:中国博士后科学基金 , 江苏省博士后科学基金 , 江苏省教育厅计划先导项目
摘    要:利用K-means聚类算法和GIS组件SuperMap Objects,开发了基于连续文化序列的空间数据挖掘系统,运用该系统对郑州—洛阳地区史前3个连续文化时期的聚落进行数据挖掘,提取聚落遗址群的聚类规则。通过对聚类规则的分析可知,在仰韶文化后期和龙山文化时期,那些靠近聚落群中心且面积较大的高等级聚落,在位置和交通方面都具有很大的优越性,具备中心聚落的特点,成为中心聚落的潜力大,有发展成为王都的趋势。

关 键 词:空间数据挖掘  K-means聚类  聚落考古  连续文化
文章编号:1672-0504(2007)05-0048-04
修稿时间:2006-11-11

Research on K-means Clustering Mining for Prehistoric Continuous Culture Settlements about Zhengzhou-Luoyang Region
BI Shuo-ben,LV Guo-nian,CHEN Ji-min.Research on K-means Clustering Mining for Prehistoric Continuous Culture Settlements about Zhengzhou-Luoyang Region[J].Geography and Geo-Information Science,2007,23(5):48-51.
Authors:BI Shuo-ben  LV Guo-nian  CHEN Ji-min
Institution:1. College of Computer Science, Nanjing University of Information Science and Technology, Nanjing 210044 2. College of Geography Science, Nanjing Normal University, Nanjing 210097 3. Institute of Mapping Information Engineering, Yellow River Engineering Consulting Co. Ltd. , Zhengzhou 450045, China
Abstract:Using K-means clustering algorithm and GIS components Super Map Objects,the spatial data mining system based on continuous culture sequence is developed.The system is applied to the data mining for the prehistoric settlements during the three culture phases of Zhengzhou-Luoyang region;the clustering rules of the sites are excavated.It is showed that the high level settlements which are nearby the cluster center in the last period of Yangshao culture and Longshan culture phase,have a lot of advantages in location and traffic,and have characteristics of central settlement by analyzing the clustering rules.These large area settlements have great potential to become a city.
Keywords:spatial data mining  K-means clustering  settlement archaeology  continuous culture
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