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New Technology of Library and Information Service  2006, Vol. 1 Issue (5): 44-46    DOI: 10.11925/infotech.1003-3513.2006.05.11
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A New Clustering Algorithm Based on GA and K-medoids Algorithm
Hao Zhangang   Wang Zhengou
（Institute of Systems Engineering, Tianjin University, Tianjin 300072,China）
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Abstract  

This paper presents a new clustering algorithm based on GA(Genetic Algorithm) and k-medoids algorithm. The new algorithm can not only improve the precision of clustering but also recognize isolated points. At the same time,the new algorithm may expedite the convergence of GA and save the time cost for integration with the kmedoids algorithm in GA.
Key words： Clustering      Genetic Algorithm      K-medoids Algorithm     
Received: 24 January 2006      Published: 25 May 2006
ZTFLH: 

TP301.6

 		 
Corresponding Authors: Hao Zhangang     E-mail: zghao2000@sina.com
About author:: Hao Zhangang,Wang Zhengou
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Cite this article:

Hao Zhangang,Wang Zhengou . A New Clustering Algorithm Based on GA and K-medoids Algorithm. New Technology of Library and Information Service, 2006, 1(5): 44-46.

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http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.1003-3513.2006.05.11     OR     http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2006/V1/I5/44

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