Dynamic Time Warping when comparing time series

In time series analysis, dynamic time warping (DTW) is one of the algorithms for measuring similarity between two temporal sequences, which may vary in speed.

The ability to analyze and then cluster times series based on dynamic time warping would be helpful in forecasting demand.

Here is another link: http://alexminnaar.com/time-series-classification-and-clustering-with-python.html

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  • Nov 22 2018
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