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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "nnmf" in publications use:'
type: software
license: GPL-2.0-or-later
title: 'nnmf: Nonnegative Matrix Factorization'
version: '1.4'
doi: 10.32614/CRAN.package.nnmf
abstract: 'Nonnegative matrix factorization (NMF) is a technique to factorize a matrix
  with nonnegative values into the product of two matrices. Covariates are also allowed.
  Parallel computing is an option to enhance the speed and high-dimensional and large
  scale (and/or sparse) data are allowed. Relevant papers include: Wang Y. X. and
  Zhang Y. J. (2012). Nonnegative matrix factorization: A comprehensive review. IEEE
  Transactions on Knowledge and Data Engineering, 25(6): 1336-1353 <https://doi.org/10.1109/TKDE.2012.51>
  and Kim H. and Park H. (2008). Nonnegative matrix factorization based on alternating
  nonnegativity constrained least squares and active set method. SIAM Journal on Matrix
  Analysis and Applications, 30(2): 713-730 <https://doi.org/10.1137/07069239X>.'
authors:
- family-names: Tsagris
  given-names: Michail
  email: mtsagris@uoc.gr
- family-names: Kontemeniotis
  given-names: Nikolaos
  email: kontemeniotisn@gmail.com
- family-names: Adam
  given-names: Christos
  email: pada4m4@gmail.com
  orcid: https://orcid.org/0009-0003-3244-7034
repository: https://cran.r-universe.dev
commit: e8b8c489531e4da9c9adf61c0166f23a3844e6f3
date-released: '2026-04-12'
contact:
- family-names: Tsagris
  given-names: Michail
  email: mtsagris@uoc.gr