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计算机工程 ›› 2006, Vol. 32 ›› Issue (8): 89-91.

• 软件技术与数据库 • 上一篇    下一篇

聚类算法在姜寨一期聚落考古中的应用

毕硕本 1,裴安平2,陈济民1,闾国年1   

  1. 1. 南京师范大学地理科学学院,南京 210097;2. 南京师范大学文物与博物馆学系,南京 210097
  • 出版日期:2006-04-20 发布日期:2006-04-20

Clustering Algorithm in First Period Culture of Jiangzhai Settlement

BI Shuoben1, PEI Anping2, CHEN Jimin1, LV Guonian1   

  1. 1. School of Geography Science, Nanjing Normal University, Nanjing 210097;2. School of Cultural Relic & Museum, Nanjing Normal University, Nanjing 210097
  • Online:2006-04-20 Published:2006-04-20

摘要: 通过对空间数据挖掘中聚类算法的总结与分析,以姜寨一期聚落中的居住区和墓葬区为研究实例,实现了对其房屋区中大、中房屋组,以及墓葬区的聚类分析,得出了姜寨一期聚落的空间聚类规则,为考古学聚落形态研究提供了一种新的技术手段。

关键词: 聚类分析;k-means 算法;空间数据挖掘;聚落考古;姜寨遗址

Abstract: By summarizing and analysing the clustering algorithms of spatial data mining technology, and taking the example of habitation districts and tomb places of Jiangzhai settlement in first period culture, the paper implements the clustering analysis for big house groups, middle house groups, and tomb places, then a lot of spatial clustering rules of the Jiangzhai settlement in first period are gotten, and it gives a new kind of technological method for researching the settlement modality of archaeology

Key words: Clustering analysis; k-means algorithm; Spatial data mining; Settlement archeology; Jiangzhai site