%0 Journal Article
%T On the Data-Mining Oriented Methods for Clustering Time Series<br>面向数据挖掘的时间序列聚类方法研究
%A 李斌
%A 谭立湘
%A 章劲松
%A 庄镇泉
%J 计算机科学
%D 2000
%I 
%X According to the characteristics of data mining,some improvements are made to the neural network fuzzy clustering algorithm FSART to make it more efficient and can perform incremental clustering. For the need of the clustering analysis of time series,a new fuzzy membership expression that can describe the modality similarity of vectors is proposed. The new fuzzy membership expression and the improved FSART algorithm are combined to implement the clustering analysis of the nonstationary time series.
%K Data mining
%K Clustering analysis
%K Time series
%K Neural network
%K Algorithm FSART<br>时间序列
%K 聚类
%K 数据挖掘
%K 数据库
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=0E288C5EFD222385&yid=9806D0D4EAA9BED3&vid=DB817633AA4F79B9&iid=59906B3B2830C2C5&sid=228A710F49B6CE58&eid=E203FB1A272C9DD2&journal_id=1002-137X&journal_name=计算机科学&referenced_num=0&reference_num=8