Skip to content

DNMF

1.4.2

Discriminant Non-Negative Matrix Factorization

0packages depend
2.7Kdownloads / year
test coverage
11/13checks pass

Overview

About
Maintained by Zhilong JiaFirst published 2015-02-163 releasesCRAN page ↗GitHub ↗

Discriminant Non-Negative Matrix Factorization aims to extend the Non-negative Matrix Factorization algorithm in order to extract features that enforce not only the spatial locality, but also the separability between classes in a discriminant manner. It refers to three article, Zafeiriou, Stefanos, et al. "Exploiting discriminant information in nonnegative matrix factorization with application to frontal face verification." Neural Networks, IEEE Transactions on 17.3 (2006): 683-695. Kim, Bo-Kyeong, and Soo-Young Lee. "Spectral Feature Extraction Using dNMF for Emotion Recognition in Vowel Sounds." Neural Information Processing. Springer Berlin Heidelberg, 2013. and Lee, Soo-Young, Hyun-Ah Song, and Shun-ichi Amari. "A new discriminant NMF algorithm and its application to the extraction of subtle emotional differences in speech." Cognitive neurodynamics 6.6 (2012): 525-535.

Install

Health

CRAN checks
2NOTE11OK
Failing flavors
  • NOTE r-devel-linux-x86_64-debian-clang
  • NOTE r-devel-linux-x86_64-debian-gcc
Slowest check: 1.5 min · r-oldrel-windows-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
5
Dependencies · direct
Check history
  • NOTE2026-03-10
    12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMENoVignettesNopkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo
Examples that run
75%
Documented parameters
100%
Return-value docs
25%
References docs
0%

Downloads

2.7K
CRAN downloads in the past year
Rank #15,337 · ~7/day · ~223/mo
Daily download trend is not available in this view yet.
15630 days
68890 days
2.7K1 year
Compare downloads with other packages →
Also on98 r2u9 autocran

Repository

Repository
9Stars
3Forks
1Open issues
0Open PRs
0Releases
41Commits
1Contributors
rpackage
License GPL-2.0 · 41 commits · Last activity 2022-05-10

Stars over time

2025-06-14 · 92026-07-07 · 9

Repository practices

Upstream repositoryBeta

2 development-tooling and community-health practices detected across 2 families in the upstream repository

Checks run against github.com/zhilongjia/dnmf on 2026-08-09.

Continuous integration (1)
Travis CI
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies
3 external dependencies (excludes base and recommended)
Depends (1)
Imports (4)
MatrixgplotsparalleldoParallel
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (2)
Maintainer (1)
Author, Maintainer
Authors (2)
Author, Maintainer
Author · added in 1.3
Package Timeline

3 releases. Pick two to compare their code metrics. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • 1.4.2Latest
    2022-05-10 · current release · diff ↗
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • R
    R 4.0.0 released · 2020-04-24
  • R
    R 3.6.0 released · 2019-04-26
  • R
    R 3.5.0 released · 2018-04-23
  • R
    R 3.4.0 released · 2017-04-21
  • R
    R 3.3.0 released · 2016-05-03
  • 1.3
    2015-06-09 · diff ↗
  • R
    R 3.2.0 released · 2015-04-16
  • 1.0
    2015-02-16
  • R
    R 3.1.0 released · 2014-04-10

Package metadata

First published
2015-02-16
Total releases
3 / 11 yrs
License
GPL (>= 2) OSI
Download size
7.2 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("DNMF")
Jia, Z., & Zhang, X. (2022). DNMF: Discriminant Non-Negative Matrix Factorization (Version 1.4.2) [Computer software]. https://doi.org/10.32614/CRAN.package.DNMF

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for DNMF version 1.4.2 [Data set]. HJJB, LLC. Data release v2026-08-15. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-15, which the citation names so these numbers can be found later. More on citing and the projects behind them.

Report a problem with this page →

Privacy choices

These apply to this browser and are stored on this device only. Nothing about your choice is sent to us.

Read the privacy policy