Title :
NCAC: A Novel Chinese Address Clustering Algorithm
Author :
Liu, Jian-Xun ; Wen, Yi-Ping ; Liu, Jie
Author_Institution :
Hunan Knowledge Grid Lab., Hunan Univ. of Sci. & Technol., Xiangtan, China
Abstract :
This paper proposes a novel Chinese customer address clustering algorithm by considering both the customers´ postal code and the text clustering technique. Based on thousands of student hometown addresses in a university, an experiment is done and analyzed. The results show that the algorithm presents in this paper has the advantages of high effectiveness of computation and good clustering ability when comparing with the Standard K-means algorithm.
Keywords :
pattern clustering; text analysis; Chinese customer; NCAC; customers postal code; novel Chinese address clustering algorithm; standard k-means algorithm; text clustering technique;
Conference_Titel :
Semantics, Knowledge and Grid, 2006. SKG '06. Second International Conference on
Conference_Location :
Guilin
Print_ISBN :
0-7695-2673-X
DOI :
10.1109/SKG.2006.65