%0 Journal Article
%T Method for time series clustering based on Normal matrix<br>一种基于Normal矩阵的时间序列聚类方法*
%A JIANG Rong
%A ZHAO Feng-xi
%A XIE Fu-ding
%A ZHANG Yong
%A <br>姜荣
%A 赵凤霞
%A 谢福鼎
%A 张永
%J 计算机应用研究
%D 2010
%I 
%X This paper presented a method for time series clustering based on the spectral bisection method of Normal matrix. The algorithm transformed time series data into vector forms firstly, calculated the similarity between any pairs of time series and constructed complex network. Then the complex network would be divided into communities by using of the method of Normal matrix. The time series were clustered in terms of the results of partitioning network. Finally, in order to verify the feasibility and effectiveness of the presented method, analyzed the real world stock time series, compared other methods on two real datasets and obtained the reasonable results.
%K time series clustering
%K community structure
%K complex networks
%K Normal matrix
%K similarity<br>时间序列聚类
%K 社团结构
%K 复杂网络
%K Normal矩阵
%K 相似度
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=FD0943707576808BAE1C1909BAB51267&yid=140ECF96957D60B2&vid=DB817633AA4F79B9&iid=5D311CA918CA9A03&sid=AE5DCEB5D8E2EE2F&eid=C43323073348C8CD&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=15