jsantarc/Dynamic-Time-Alignment-K-Means-Kernel-Clustering-For-Time-Sequence-Clustering
Dynamic Time-Alignment (DTA) K-Means Kernel Clustering For Time Sequence Clustering
https://github.com/jsantarc/Dynamic-Time-Alignment-K-Means-Kernel-Clustering-For-Time-Sequence-Cl...
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This is a matlab implementation of Dynamic Time-Alignment (DTA) K-Means Kernel Clustering For Time Sequence Clustering. The code is similar to what I used in my paper [1]. The code first calculates the DTA Kernel matrix, then performs clustering on time series of different lengths.
Read me @:https://github.com/jsantarc/Dynamic-Time-Alignment-K-Means-Kernel-Clustering-For-Time-Sequence-Clustering/issues/1
Cite As
Joseph Santarcangelo (2026). jsantarc/Dynamic-Time-Alignment-K-Means-Kernel-Clustering-For-Time-Sequence-Clustering (https://github.com/jsantarc/Dynamic-Time-Alignment-K-Means-Kernel-Clustering-For-Time-Sequence-Clustering), GitHub. Retrieved .
Acknowledgements
Inspired by: Dynamic Time Warping (DTW)
General Information
- Version 1.0.0.0 (5.88 KB)
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MATLAB Release Compatibility
- Compatible with any release
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- Linux
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| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.0.0.0 |
add some notes
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