Stochastic Orthogonal Projective Non-negative Matrix Factorization
Project description
SOPNMF
Stochastic orthogonally projective non-negative matrix factorization
About the project
SOPNMF is the python implementation of the Matlab version of Orthogonal Projective Non-negative Matrix Factorization: brainparts, and its stochastic extension.
:warning: The documentation of this software is currently under development
Citing this work
Sotiras, A., Resnick, S.M. and Davatzikos, C., 2015. Finding imaging patterns of structural covariance via non-negative matrix factorization. Neuroimage, 108, pp.1-16. doi:10.1016/j.neuroimage.2014.11.045 TBD
Publications around SOPNMF
Wen, J., Varol, E., Sotiras, A., Yang, Z., Chand, G.B., Erus, G., Shou, H., Abdulkadir, A., Hwang, G., Dwyer, D.B. and Pigoni, A., 2022. Multi-scale semi-supervised clustering of brain images: deriving disease subtypes. Medical Image Analysis, 75, p.102304. - Link
Project details
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