%0 Journal Article
%T Research on a Clustering Algorithm Based on Generalized Quantum Particle Model and its Convergence<br>基于广义量子粒子模型的聚类算法及收敛性研究
%A HUANG Liang-jun
%A SHUAI Dian-xun
%A ZHANG Bin
%A <br>黄良军
%A 帅典勋
%A 张彬
%J 计算机科学
%D 2010
%I 
%X A novel generalized quantum particle model(GQPM) was presented for data self-organizing clustering.In this model the data clustering process is transformed into a stochastic self-organizing process of the quantum particles in the state configuration space.The state configuration will evolve to a stationary probability distribution,and thus the optimal state configuration on particles can be obtained from the state configuration which has the highest probability in the stationary probability distribution.The...
%K Data clustering
%K Multidimensional data
%K Stochastic process
%K Markov chain<br>数据聚类
%K 高维数据
%K 随机过程
%K 马尔可夫链
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=F4AB67048ED695E954064131FF7E13F7&yid=140ECF96957D60B2&vid=42425781F0B1C26E&iid=0B39A22176CE99FB&sid=4966445AEEBA9556&eid=CA5852BD1A173B3A&journal_id=1002-137X&journal_name=计算机科学&referenced_num=0&reference_num=8