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GitHub / heshanera / DTW

Dynamic Time Warping Algorithm can be used to measure similarity between 2 time series. Objective of the algorithm is to find the optimal global alignment between the two time series, by exploiting temporal distortions between the 2 time series.

JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/heshanera%2FDTW

Stars: 6
Forks: 4
Open Issues: 1

License: None
Language: C++
Repo Size: 896 KB
Dependencies: pending

Created: almost 6 years ago
Updated: 10 months ago
Last pushed: almost 6 years ago
Last synced: 10 months ago

Topics: dtw, dynamic-time-warping, time-series

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