Author Login Editor-in-Chief Peer Review Editor Work Office Work

Computer Engineering ›› 2008, Vol. 34 ›› Issue (22): 213-214. doi: 10.3969/j.issn.1000-3428.2008.22.074

• Artificial Intelligence and Recognition Technology • Previous Articles     Next Articles

Analysis and Test of Approximation Greedy Algorithm for K-median Problems

XIAO Jin-jie, XIE Qing-song, LIU Xiao-hua   

  1. (School of Information and Electronic Engineering, Shandong Institute of Business and Technology, Yantai 264005)
  • Received:1900-01-01 Revised:1900-01-01 Online:2008-11-20 Published:2008-11-20

K-median问题贪心近似算法的分析与实验

肖进杰,谢青松,刘晓华   

  1. (山东工商学院信息与电子工程学院,烟台 264005)

Abstract: This paper discusses approximation greedy algorithm for K-median and its property in actual computation. It presents a greedy algorithm for K-median and then proves that the approximation ratio of the greedy algorithm is at most O(ln(n/k)). The test data shows that the greedy algorithm can get good results in actual computation and about 90% clients can be serviced by the facility whose distance to the client is the 1st, 2nd, 3rd.

Key words: K-median, greedy algorithm, approximation algorithm

摘要: 讨论K-median问题的贪心近似算法及其在实际计算中的表现。提出一个解K-median问题的贪心算法,证明该算法的近似度为O(ln(n/k)),通过实验证明该贪心算法在实际应用当中可以取得较好的效果,大约有90%的客户能被距离其最近、次近和第三近的设备服务。

关键词: K-median问题, 贪心算法, 近似算法

CLC Number: