Using dynamic time warping distances as features for improved time series classification
Data Mining and Knowledge Discovery, Volume 30, Issue 2, 2015.
Time series classificationDynamic time warpingSymbolic aggregate approximation
Dynamic time warping (DTW) has proven itself to be an exceptionally strong distance measure for time series. DTW in combination with one-nearest neighbor, one of the simplest machine learning methods, has been difficult to convincingly outperform on the time series classification task. In this paper, we present a simple technique for time...More
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