Dynamic Time Warping

Dynamic Time Warping (DTW) is an algorithm used to measure the similarity between two time series, aiming to address the issue of non-linear differences on the time axis. By minimizing the distance between two sequences, DTW can achieve accurate matching and alignment in time series analysis, speech recognition, gesture recognition, and other fields, enhancing the flexibility and robustness of data processing.