Title :
A method of spatial clustering based on the combination of the spatial coordinate and attributes
Author :
Shi, Ya-Bing ; Yuan, Chang-an ; Huang, Yu ; Wen, Yuan-Guang
Author_Institution :
Comput. & Inf. Eng. Coll., Guangxi Teachers Educ. Univ., Nanning, China
Abstract :
Combining coordinate with attributes, we can define three Manhattan spatial distance measurements. And ACA-Cluster based on one of the definitions is realized by Matlab7.0 programming. In this way, the result can avoid the objects of the same cluster appearing on non-adjacent spatial positions, meanwhile, reflect the spatial distribution. So the cities of Shandong Province are clustered effectively and objectively according to eco-environment index.
Keywords :
data mining; pattern clustering; statistical analysis; ACA-cluster; Manhattan spatial distance measurements; Matlab7.0 programming; Shandong Province; eco-environment index; nonadjacent spatial positions; spatial clustering; spatial distribution; Optical wavelength conversion; ACA-Cluster; spatial clustering; spatial distance;
Conference_Titel :
Intelligent Computing and Integrated Systems (ICISS), 2010 International Conference on
Conference_Location :
Guilin
Print_ISBN :
978-1-4244-6834-8
DOI :
10.1109/ICISS.2010.5654933
