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Efficiently impute large scale matrix with missing values via its unbiased low-rank matrix approximation. Our main approach is Hard-Impute algorithm proposed in <https://www.jmlr.org/papers/v11/mazumder10a.html>, which achieves highly computational advantage by truncated singular-value decomposition.
Package details |
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Author | Zhe Gao [aut, cre], Jin Zhu [aut], Junxian Zhu [aut], Xueqin Wang [aut], Yixuan Qiu [cph], Gael Guennebaud [cph, ctb], Jitse Niesen [cph, ctb], Ray Gardner [ctb] |
Maintainer | Zhe Gao <gaozh8@mail.ustc.edu.cn> |
License | GPL-3 | file LICENSE |
Version | 0.2.4 |
Package repository | View on CRAN |
Installation |
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