opnmf

This package implements orthogonal projective non-negative matrix factorization as described in:

Z. Yang and E. Oja, "Linear and Nonlinear Projective Nonnegative Matrix Factorization," in IEEE Transactions on Neural Networks, vol. 21, no. 5, pp. 734-749, May 2010, doi: 10.1109/TNN.2010.2041361.

Citing

If you use this software, consider citing:

Sotiras A, Resnick SM, Davatzikos C. Finding imaging patterns of structural covariance via Non-Negative Matrix Factorization. Neuroimage. 2015;108:1-16. doi:10.1016/j.neuroimage.2014.11.045

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

opnmf-0.0.2.tar.gz (2.9 MB view details)

Uploaded Nov 9, 2021 Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

The dropdown lists show the available interpreters, ABIs, and platforms. Enable javascript to be able to filter the list of wheel files.

opnmf-0.0.2-py3-none-any.whl (21.1 kB view details)

Uploaded Nov 9, 2021 Python 3

File details

Details for the file opnmf-0.0.2.tar.gz.

File metadata

Download URL: opnmf-0.0.2.tar.gz
Upload date: Nov 9, 2021
Size: 2.9 MB
Tags: Source
Uploaded using Trusted Publishing? No
Uploaded via: twine/3.5.0 importlib_metadata/4.8.2 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.7

File hashes

Hashes for opnmf-0.0.2.tar.gz
Algorithm	Hash digest
SHA256	`5cb08f57a5f135d57f2ab0397eaacdaf372b165f3cc9f74f1697c270e7d137fc`
MD5	`57b403af751d31145a501e7d86dbe2c4`
BLAKE2b-256	`14300cbdf4297c6fb03971b79d73c72659dbb07e76b7d3823c24bc5aeedde961`

See more details on using hashes here.

File details

Details for the file opnmf-0.0.2-py3-none-any.whl.

File metadata

Download URL: opnmf-0.0.2-py3-none-any.whl
Upload date: Nov 9, 2021
Size: 21.1 kB
Tags: Python 3
Uploaded using Trusted Publishing? No
Uploaded via: twine/3.5.0 importlib_metadata/4.8.2 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.7

File hashes

Hashes for opnmf-0.0.2-py3-none-any.whl
Algorithm	Hash digest
SHA256	`46bcff0a38ad38d549f4fdb76841cb4739783df9b4ae3f17c50e77cee7496c59`
MD5	`3e6f4594a71fee30c072a40787a84352`
BLAKE2b-256	`7462fb6f089856df5417205b893d2e22ae1e6641e3e9dc2ff05b71d18e015f7e`