CMF: Collective matrix factorization

Share:

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.

Author
Arto Klami and Lauri Väre
Date of publication
2014-03-25 14:26:42
Maintainer
Arto Klami <arto.klami@cs.helsinki.fi>
License
GPL (>= 2)
Version
1.0

View on CRAN

Man pages

CMF
Collective Matrix Factorization
CMF-package
Collective Matrix Factorization (CMF)
getCMFopts
Default options for CMF
matrix_to_triplets
Conversion from matrix to coordinate/triplet format
predictCMF
Predict with CMF
triplets_to_matrix
Conversion from triplet/coordinate format to matrix

Files in this package

CMF
CMF/src
CMF/src/Makevars
CMF/src/helper.cpp
CMF/src/Makevars.win
CMF/src/RcppExports.cpp
CMF/NAMESPACE
CMF/R
CMF/R/RcppExports.R
CMF/R/CMF.R
CMF/MD5
CMF/DESCRIPTION
CMF/man
CMF/man/getCMFopts.Rd
CMF/man/CMF.Rd
CMF/man/predictCMF.Rd
CMF/man/matrix_to_triplets.Rd
CMF/man/CMF-package.Rd
CMF/man/triplets_to_matrix.Rd