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I'm very interested in a fast dynamic time warping implementation in Rust and this library seems like it would be a great home for one. I noticed it's on the TODO list in the README too.
Are there …
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### 🚀 The feature, motivation and pitch
DTW is a crucial algorithm for measuring similarity between temporal sequences, but its computational complexity can be a bottleneck, particularly with large…
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**Submitting author:** @ElektrikAkar (Volkan Kumtepeli)
**Repository:** https://github.com/Battery-Intelligence-Lab/dtw-cpp
**Branch with paper.md** (empty if default branch):
**Version:** v1.0.0
**E…
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cross-correlation likely not enough to capture subtle differences in sequence performance (comparing FOR to REF), investigating dynamic time warping (DTW) to enable measurement of shifting of portions…
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I'm working with a relatively large dataset (~1,500 songs with ~20 syllables each), and I'm unable to do dynamic time warping with anything more than a small subset of the data (~250 songs). Basically…
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StackOverflow demonstration of Dynamic Time Warping using NumPy and RPy2:
http://stackoverflow.com/questions/5695388/dynamic-time-warping-in-python
http://stackoverflow.com/a/5766202
```
import nump…
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**Describe the issue**
It is a miss in your benchmarking. I think you should look at the "time-series-bakeoff" for others like it.
DTW is a pain, and very well known and well used method.
The …
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I think Dynamic Time Warping (DTW) distance would be a nice addition when we deal with time series.
While searching for UMAP + DTW on Google I found this implementation: https://gist.github.com/ky…
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### Describe the feature or idea you want to propose
The algorithm TimeSeriesKernelKMeans in the API reference for clustering does not take KDTW**, A Regularized Dynamic Time Warping Kernel, as a k…