An Efficient Clustering Algorithm for Multivariate Time Series

被引：0

作者：

Zhou, Da-Zhuo ^{[1
]}

Zhang, Bo ^{[1
]}

机构：

[1] Hebei Univ Econ & Trade, Ctr Comp, Shijiazhuang, Peoples R China

来源：

EBM 2010: INTERNATIONAL CONFERENCE ON ENGINEERING AND BUSINESS MANAGEMENT, VOLS 1-8 | 2010年

关键词：

Multivariate Time Series; Similarity Search; Locally Linear Embedding;

D O I：

暂无

中图分类号：

C93 [管理学];

学科分类号：

12 ; 1201 ; 1202 ; 120202 ;

摘要：

A nonlinear method to similarity search of similarity search is presented. In order to efficiently perform similarity search for multivariate time series datasets with the Eros similarity measure, this algorithm allows the MTS items to be indexed by using a R-tree structure. Theoretic analysis and experimental results show that algorithm is effective and efficient.

引用

页码：5190 / 5193

页数：4