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DNMF  

Discriminant Non-Negative Matrix Factorization
View on CRAN: Click here


Download and install DNMF package within the R console
Install from CRAN:
install.packages("DNMF")

Install from Github:
library("remotes")
install_github("cran/DNMF")

Install by package version:
library("remotes")
install_version("DNMF", "1.4.2")



Attach the package and use:
library("DNMF")
Maintained by
Zhilong Jia
[Scholar Profile | Author Map]
First Published: 2015-02-16
Latest Update: 2022-05-10
Description:
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.
How to cite:
Zhilong Jia (2015). DNMF: Discriminant Non-Negative Matrix Factorization. R package version 1.4.2, https://cran.r-project.org/web/packages/DNMF. Accessed 20 Feb. 2025.
Previous versions and publish date:
1.0 (2015-02-16 19:22), 1.3 (2015-06-09 21:29)
Other packages that cited DNMF R package
View DNMF citation profile
Other R packages that DNMF depends, imports, suggests or enhances
Complete documentation for DNMF
Functions, R codes and Examples using the DNMF R package
Some associated functions: DNMF . NMFpval . ndNMF . rnk . 
Some associated R codes: DNMF.R . NMFpval.R . ndNMF.R . rnk.R .  Full DNMF package functions and examples
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