Package: DNMF 1.4.2

DNMF: Discriminant Non-Negative Matrix Factorization

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.

Authors:Zhilong Jia [aut, cre], Xiang Zhang [aut]

DNMF_1.4.2.tar.gz
DNMF_1.4.2.zip(r-4.5)DNMF_1.4.2.zip(r-4.4)DNMF_1.4.2.zip(r-4.3)
DNMF_1.4.2.tgz(r-4.4-any)DNMF_1.4.2.tgz(r-4.3-any)
DNMF_1.4.2.tar.gz(r-4.5-noble)DNMF_1.4.2.tar.gz(r-4.4-noble)
DNMF_1.4.2.tgz(r-4.4-emscripten)DNMF_1.4.2.tgz(r-4.3-emscripten)
DNMF.pdf |DNMF.html
DNMF/json (API)
NEWS

# Install 'DNMF' in R:
install.packages('DNMF', repos = c('https://zhilongjia.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/zhilongjia/dnmf/issues

On CRAN:

3.60 score 8 stars 4 scripts 178 downloads 1 mentions 4 exports 11 dependencies

Last updated 3 years agofrom:e249ea6647. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 05 2024
R-4.5-winOKNov 05 2024
R-4.5-linuxOKNov 05 2024
R-4.4-winOKNov 05 2024
R-4.4-macOKNov 05 2024
R-4.3-winOKNov 05 2024
R-4.3-macOKNov 05 2024

Exports:DNMFndNMFNMFpvalrnk

Dependencies:bitopscaToolscodetoolsdoParallelforeachgplotsgtoolsiteratorsKernSmoothlatticeMatrix