Included Angle Distance of Time Series and Similarity Search
ZHANG Peng1 , LI Xue-Ren3, ZHANG Jian-Ye2,3, ZHANG Zong-Lin1
1.Engineering Institute, Air Force Engineering University, Xi'an 7100382. College of Automation, Northwestern Polytechnical University, Xi'an 7100723. Science Research Department, Air Force Engineering University, Xi'an 710051
Abstract：A method for time series approximation representation and similar measurement is proposed. Based on the adaptive piecewise linear representation, the time series are represented approximately with a sequence of the included angles between a pair of neighboring line segments. The basic concepts and properties of the included angle distance are proposed and proved. The included angle distance overcomes the problem when the point distance is used as the similar measurement, such as the poor robustness and ambiguous concepts. The proposed method is also invariant to translation and rotation. Experimental results on synthetic data and stock data show that the proposed method is effective.
张鹏，李学仁，张建业，张宗麟. 时间序列的夹角距离及相似性搜索*[J]. 模式识别与人工智能, 2008, 21(6): 763-767.
ZHANG Peng , LI Xue-Ren, ZHANG Jian-Ye, ZHANG Zong-Lin. Included Angle Distance of Time Series and Similarity Search. , 2008, 21(6): 763-767.
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2008, Vol. 21 
