%0 Journal Article
%T Streaming data cluster algorithm based on changeable sliding window<br>基于变尺度滑动窗口的流数据聚类算法*
%A GAO Zi-juan
%A ZHU Yu-quan
%A CHEN Geng
%A <br>高自娟
%A 朱玉全
%A 陈耿
%J 计算机应用研究
%D 2011
%I 
%X For resolving the effectiveness of the data collection on the streaming data clustering, this paper put forward a clustering algorithm based on changeable sliding window model. For the streaming data acquisition, used the changeable sliding window, and the technology for the data processing was index histogram with average timestamp and average weights, that could do better on capturing the dynamic variable streaming data. And the addition of the criterion of clustering made the qua-lity of the streaming data cluster improved. Experimental results show that quality of the streaming data cluster is improved.
%K streaming data
%K cluster
%K changeable sliding window
%K histogram<br>流数据
%K 聚类
%K 变尺度滑动窗口
%K 指数直方图
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=04849F9BCE6B7952FA848E39348E6E9E&yid=9377ED8094509821&vid=D3E34374A0D77D7F&iid=0B39A22176CE99FB&sid=64808317C39DF331&eid=385E3C2062167B88&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=9