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Dynamic time warping (DTW) distance is commonly used in measuring similarity between time series for classification. In order to obtain the minimum cumulative distance, however, DTW distance may map multiple points on one time series to one point on another, and this makes time series over stretched and compressed, resulting in missing important feature information thus influence the classification...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.