期刊文献+

基于土地规划的空间聚类算法 被引量:2

Spatial Clustering Algorithm in Soil Programming
下载PDF
导出
摘要 为了实现对空间复杂地理对象的聚类分析,引入了一种空间聚类算法,并将其应用于土地规划中.在具体的模拟试验中,利用该算法将相邻的并且符合选取条件的空间目标聚成一类,实现了能够发现任意形状并满足特定约束条件的聚类. In order to accomplish the clustering analysis of the spatial complex geography object,an algorithm of spatial clustering is introduced and applied into soil programming.In the material simulation experiment,the spatial objects which are adjoining and according with choosing qualifications are made into one class by using this algorithm.This algorithm can find the clustering of arbitrary figure and satisfy the clustering of the given restriction qualifications.
出处 《郑州大学学报(理学版)》 CAS 2007年第3期100-103,共4页 Journal of Zhengzhou University:Natural Science Edition
基金 贵州省教育厅自然科学基金资助项目 编号黔教科2003202
关键词 数据挖掘 聚类 土地规划 算法 data mining clustering soil programming algorithm
  • 相关文献

参考文献4

二级参考文献57

共引文献256

同被引文献5

  • 1RAYMOND T N,HAN Jia-wei.Efficient and effective clustering method for spatial data mining[C]//Proc of 1994 Intl Conf on Very Large Data Bases.San Francisco:IEEE Press,1994:144-155.
  • 2ANTHONY K H T,JEAN H,HAN Jia-wei.Spatial clustering in the presence of obstacles[C]//Proc of 2001 Intl Conf on Data Engineering.Washington D C:IEEE Press,2001:359-367.
  • 3ESTIVILL-CASTRO V,LEE I J.AUTOCLUST+:automatic clustering of point-data sets in the presence of obstacles[C]//Temporal,Spatial and Spatio-Temporal Data Mining.Berlin:Springer,2001:133-146.
  • 4ZAiANE O R,LEE Chi-hoon.Clustering spatial data when facing physical eonstraints[C]//Proc of the IEEE International Conf on Data Mining.Washington D C:IEEE Press,2002z737-740.
  • 5WANG Xin,ROSTOKER C,HAMILTON H J.Density-based spatial clustering in the presence of obstacles and facilitators[C]//Knowledge Discovery in Database:PKDD 2004.Berlin:Springer,2004:446-458.

引证文献2

二级引证文献1

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部