DocumentCode
1721848
Title
Fax clustering algorithm based on adaptive ant colony optimize
Author
Hongtao, Yu ; Qing, Li ; Ying, Hou
Author_Institution
Nat. Digital Switching Syst. Eng. & Technol. Res. Center, Zhengzhou, China
Volume
3
fYear
2010
Abstract
The fax clustering is that the same or similar faxes will be clustered into one group in mass faxes. In order to improve accuracy of clustering, a fax clustering algorithm based on adaptive ant colony optimization was proposed in this paper. The algorithm simulates ant feeding theory, and improves the coefficient of pheromone updating, and avoids falling into local optimum. The experimental results show that the algorithm has good robustness. The effect of clustering is improved obviously.
Keywords
optimisation; pattern clustering; adaptive ant colony optimize; ant feeding theory; fax clustering algorithm; Algorithm design and analysis; Classification algorithms; Clustering algorithms; Facsimile; Heuristic algorithms; Robustness; Signal processing algorithms; ants colony; fax clustering; pheromone; robustness;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing Systems (ICSPS), 2010 2nd International Conference on
Conference_Location
Dalian
Print_ISBN
978-1-4244-6892-8
Electronic_ISBN
978-1-4244-6893-5
Type
conf
DOI
10.1109/ICSPS.2010.5555784
Filename
5555784
Link To Document