%0 Journal Article
%T Modeling and analysis of automatic logistics system based on decomposition of Petri nets techniques<br>基于Petri网分解技术的自动化物流系统建模分析*
%A HOU Yuan-bin
%A LI Qian
%A <br>侯媛彬
%A 李倩
%J 计算机应用研究
%D 2010
%I 
%X Due to the disadvantages of sensitivity to the initial selection of the medoids and poor performance in large data set processing in the K-medoids clustering algorithm, this paper proposed an improved K-medoids algorithm based on a fine-tuned of initial medoids and an incremental candidate set of medoids. The proposed algorithm optimized initial medoids by fine-tu-ning and reduced computational complexity of medoids substitution through expanding medoids candidate set gradually. Expenrimental results demonstrate the effectiveness of this algorithm,which can improve clustering quality and significantly shorten the time in calculation compared with the traditional K-medoids algorithm.
%K decomposition of Petri net
%K automated logistics system
%K index of transition
%K index of places
%K activity
%K boundedness<br>Petri网分解
%K 自动化物流系统
%K 变迁指标
%K 库所指标
%K 活性
%K 有界性
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=2719C0BB5D359DFA34D570C62F4A7B0F&yid=140ECF96957D60B2&vid=DB817633AA4F79B9&iid=708DD6B15D2464E8&sid=7AA82AA367022C44&eid=BFFEDBDA09089B23&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=1&reference_num=10