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Exploring long-term breast cancer survivors' care trajectories using dynamic time warping-based unsupervised clustering. [PDF]
J Am Med Inform AssocGiannoula A +6 more
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Clustering regions with dynamic time warping to model obesity prevalence disparities in the United States. [PDF]
J Appl StatVorpe K +3 more
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Weighted dynamic time warping for time series classification
Pattern Recognition, 2011Dynamic time warping (DTW), which finds the minimum path by providing non-linear alignments between two time series, has been widely used as a distance measure for time series classification and clustering. However, DTW does not account for the relative importance regarding the phase difference between a reference point and a testing point.
Young-Seon Jeong, Myong K Jeong
exaly +3 more sources
Weighted Dynamic Time Warping for Time Series
International Journal of Bifurcation and Chaos, 2023Recurrence network is a typical time series analysis method. However, irregular sampling may overshadow the dynamic features characterized by traditional recurrence network method, which makes the method ineffective. This paper introduces dynamic time warping method to determine the distance between time series segments.
Guangyu Yang, Shuyan Xia
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Dynamic time warping in hardware
Proceedings of the 14th International Conference on Information Integration and Web-based Applications & Services, 2012The Dynamic Time Warping (DTW) algorithm is a commonly used algorithm in matching time sequence data in many applications that require some kind of similarity measure. Though effective, DTW is computationally intensive, and therefore is not suitable for real-time situations. In the past 30 years, there has been some research work on implementing DTW in
Kin Fun Li, James Shueyen Tai
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DYNAMIC POSITIONAL WARPING: DYNAMIC TIME WARPING FOR ONLINE HANDWRITING
International Journal of Pattern Recognition and Artificial Intelligence, 2009This paper addresses the problem of dynamic time warping (DTW) causing unintended matching correspondences when it is employed for online two-dimensional (2D) handwriting signals, and proposes the concept of dynamic positional warping (DPW) in conjunction with DTW for online handwriting matching problems. The proposed DPW allows subsignal translations
Won-Du Chang, Jungpil Shin 0001
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