Title :
Clustering analysis based on genetic algorithms
Author :
Yong Wang ; Wei Zhang
Author_Institution :
Comput. Dept., Chongqing Educ. Coll., Chongqing, China
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;
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
DOI :
10.1109/ICCSIT.2009.5234408
