%0 Journal Article
%T Reinforcement Learning Based LVQ Clustering Approach<br>基于强化学习的LVQ聚类方法
%A 程小平
%A 邱玉辉
%J 计算机科学
%D 2002
%I 
%X A reinforcement clustering framework which constitutes Bernoulli stochastic neural units is proposed inthis paper. Reinforcement learning mechanism is introduced to LVQ clustering problems. Related algorithm LVQ-Ris developed and its property is analyzed in detail. The authors conclude that reinforcement learning can be also intro-duced to other on-line competitive clustering methods. Experiments show that LVQ-R has better performance than o-riginal LVQ approach.
%K Reinforcement learning
%K Bernoulli stochastic unit
%K LVQ<br>机器学习
%K 强化学习
%K 数据挖掘
%K LVQ聚类方法
%K 神经网络
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=A4C2F3296B3872B1&yid=C3ACC247184A22C1&vid=771469D9D58C34FF&iid=59906B3B2830C2C5&sid=76B5E24D6EC46B4B&eid=03A030BB0C519C60&journal_id=1002-137X&journal_name=计算机科学&referenced_num=0&reference_num=5