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[ascl:2208.002] qrpca: QR-based Principal Components Analysis

qrpca uses QR-decomposition for fast principal component analysis. The software is particularly suited for large dimensional matrices. It makes use of torch for internal matrix computations and enables GPU acceleration, when available. Written in both R and python languages, qrpca provides functionalities similar to the prcomp (R) and sklearn (python) packages.

Code site:
https://github.com/RafaelSdeSouza/qrpca https://pypi.org/project/qrpca/
Described in:
https://ui.adsabs.harvard.edu/abs/2022A%26C....4100633D
Bibcode:
2022ascl.soft08002D

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ascl:2208.002
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