微型机与应用2011，Vol.30Issue(18)：3-5,3.
一种基于DTW的符号化时间序列聚类算法
Symbolization time series clustering based on DTW
摘要
Abstract
A method of clustering symbolization time series based on DTW is proposed to cluster the unequal dimensional time series obtained by reduction. The key points of the time series are firstly extracted and symbolized. Then the similarity between the two time series is calculated by DTW method. Lastly, the normal matrix and FCM algorithm are employed to cluster the time series. The experimental results show that the accuracy of cluster result obtained by the proposed method is good.关键词
时间序列/DTW/SAX/Normal矩阵/FCMKey words
time series/DTW/SAX/normal matrix/FCM分类
信息技术与安全科学引用本文复制引用
李迎..一种基于DTW的符号化时间序列聚类算法[J].微型机与应用,2011,30(18):3-5,3.基金项目
国家自然科学基金 （）
辽宁省博士启动基金 （）
