DocumentCode
3308763
Title
Clustering analysis based on genetic algorithms
Author
Yong Wang ; Wei Zhang
Author_Institution
Comput. Dept., Chongqing Educ. Coll., Chongqing, China
fYear
2009
fDate
8-11 Aug. 2009
Firstpage
325
Lastpage
328
Abstract
Genetic algorithm is optimal mathematical search technique based on the principles of natural selection and genetic recombination. Therefore, to make clustering analysis process automation, a hybrid method combining genetic algorithm and clustering algorithm has been applied. Then, the best clustering result can be obtained. According to the simulation results, the proposed algorithm outperforms several existing approaches such as FCM, SOM.
Keywords
data mining; genetic algorithms; pattern clustering; clustering analysis; genetic algorithm; mathematical search technique; natural selection; Algorithm design and analysis; Automation; Biological cells; Clustering algorithms; Computer science education; Genetic algorithms; Genetic mutations; Robustness; Search methods; Termination of employment; GA; clustering; data mining;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Information Technology, 2009. ICCSIT 2009. 2nd IEEE International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4244-4519-6
Electronic_ISBN
978-1-4244-4520-2
Type
conf
DOI
10.1109/ICCSIT.2009.5234408
Filename
5234408
Link To Document