Optimizing dynamic time warping’s window width for time series data mining applications

Dynamic Time Warping (DTW) is a highly competitive distance measure for most time series data mining problems. Obtaining the best performance from DTW requires setting its only parameter, the maximum amount of warping ( w ). In the supervised case with ample data, w is typically set by cross-validat...

Ausführliche Beschreibung