A lightweight implementation of k-means timeseries clustering using soft-dtw distance measure on accelerated hardware.
depending on your hardware it can achieve more than a 250x speed up over non-accalerated impelmentations.
- distance matrix batch computation
- barycenter averaging cuda implementation
- tslearn
- github to softdtw
- link to softdtw blog