Dimensionality reduction techniques for order-3 tensors
Project description
tred
Dimensionality reduction algorithms for high-dimensional time-series data.
Built on top of the scikit-learn library, adhering to the familiar Python
machine-learning fit-transform interface.
See GitHub page for more information, examples, and relevant literature. The library is written in pure Python, with a focus on efficient implementations using underlying NumPy algorithms.
Contact brendannlu5@gmail.com if you are interested in using this for your research, and want some support.
Read the docs here: https://brendanlu.github.io/tred/tred.html
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