CMF: Collective matrix factorization

Collective matrix factorization (CMF) finds joint low-rank representations for a collection of matrices with shared row or column entities. This code learns variational Bayesian approximation for CMF, supporting multiple likelihood potentials and missing data, while identifying both factors shared by multiple matrices and factors private for each matrix.

Version: 1.0
Imports: Rcpp
LinkingTo: Rcpp
Published: 2014-03-25
Author: Arto Klami and Lauri Väre
Maintainer: Arto Klami <arto.klami at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
In views: MissingData
CRAN checks: CMF results


Reference manual: CMF.pdf
Package source: CMF_1.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X binaries: r-release: CMF_1.0.tgz, r-oldrel: CMF_1.0.tgz


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