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I have a quick question (hope this is the best place). If we use DTW distance and then a clustering algorithm (pam or hierarchical) how to best present a prototypical series from each cluster? I have …
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That is, a pre-compiled binary encoding the DTW algorithm and other aspects specified in code. Probably requires #158 (specifying serial port in GUI) and #63 (sending predictions back to Arduino).
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I wonder if you are interested in creating a package for pypi? That would be great, as it would greatly simplify installation (pip install cdtw) and usage.
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We should have a generic DTW implementation, possibly under a module for general time series analysis.
Required features:
- Support multi-dimensional time series
- Arbitrary distance function between…
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Hi, is there any change in the code that you might recommend to speed up the execution of the algorithm?
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A skeletal pseudo code already exists in a paper and should be transferred over into our python scripts. However, the pseudo code provided need some potential adjustments to work properly.
hwen3 updated
9 years ago
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DTW with window is not computed correctly in all cases: sometimes the part that is not of interest is not colored with full alpha which means that it is not infinity but something else.
Sometimes you …
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Split the current app in 2: one for data acquisition and one for analyzing the data.
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- [x] Avoid trivial matches within local neighbours
- [x] Avoid trivial matches within neighbors of motif pair in the next iteration
- [x] Have some provision for blacklisting motif pairs and region a…
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R has a toolbox for it http://dtw.r-forge.r-project.org/
mlpy has something on these lines as well, though not as complete.
Since Pandas has a lot of timeseries stuff, adding DTW might be good. Or i…