r-irlba
Fast and memory efficient methods for truncated singular and eigenvalue decompositions and principal component analysis of large sparse or dense matrices.
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Summary
Fast and memory efficient methods for truncated singular and eigenvalue decompositions and principal component analysis of large sparse or dense matrices.
Last Updated
Jan 30, 2026 at 10:22
License
GPL-3.0-only
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0
GitHub Repository
https://github.com/bwlewis/irlba