Ultra fast warping window optimization for Dynamic Time Warping

Chang Wei Tan,Matthieu Herrmann,Geoffrey I. Webb

2021 IEEE International Conference on Data Mining (ICDM)（2021）

引用 4|浏览10

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摘要

The Dynamic Time Warping (DTW) similarity measure is widely used in many time series data mining applications. It computes the cost of aligning two series, smaller costs indicating more similar series. Most applications require tuning of DTW’s Warping Window (WW) parameter in order to achieve good performance. This parameter controls the amount of warping allowed, reducing pathological alignments,...

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关键词

Training,Costs,Upper bound,Heuristic algorithms,Time series analysis,Transforms,Time measurement

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