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.


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Reference manual

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install.packages("CMF")

1.0 by Arto Klami, 5 years ago


Browse source code at https://github.com/cran/CMF


Authors: Arto Klami and Lauri Väre


Documentation:   PDF Manual  


Task views: Missing Data


GPL (>= 2) license


Imports Rcpp

Linking to Rcpp


See at CRAN