Science Score: 13.0%
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Low similarity (13.7%) to scientific vocabulary
Keywords
Repository
Non-Negative Matrix Factorization for Binary Data
Basic Info
- Host: GitHub
- Owner: michalovadek
- License: other
- Language: R
- Default Branch: main
- Homepage: https://michalovadek.github.io/nmfbin/
- Size: 4.87 MB
Statistics
- Stars: 2
- Watchers: 1
- Forks: 1
- Open Issues: 6
- Releases: 0
Topics
Metadata Files
README.md
nmfbin: Non-Negative Matrix Factorization for Binary Data
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The nmfbin R package provides a simple Non-Negative Matrix Factorization (NMF) implementation tailored for binary data matrices. It offers a choice of initialization methods, loss functions and updating algorithms.
NMF is typically used for reducing high-dimensional matrices into lower (k-) rank ones where k is chosen by the user. Given a non-negative matrix X of size $m \times n$, NMF looks for two non-negative matrices W ($m \times k$) and H ($k \times n$), such that:
$$X \approx W \times H$$
In topic modelling, if X is a word-document matrix then W can be interpreted as the word-topic matrix and H as the topic-document matrix.
Unlike most other NMF packages, nmfbin is focused on binary (Boolean) data, while keeping the number of dependencies to a minimum. For more information see the website.
Installation
You can install the development version of nmfbin from GitHub with:
``` r
install.packages("remotes")
remotes::install_github("michalovadek/nmfbin") ```
Usage
The input matrix can only contain 0s and 1s.
``` r
load
library(nmfbin)
Create a binary matrix for demonstration
X <- matrix(sample(c(0, 1), 100, replace = TRUE), ncol = 10)
Perform Logistic NMF
results <- nmfbin(X, k = 3, optimizer = "mur", init = "nndsvd", max_iter = 1000) ```
Citation
@Manual{,
title = {nmfbin: Non-Negative Matrix Factorization for Binary Data},
author = {Michal Ovadek},
year = {2023},
note = {R package version 0.2.1},
url = {https://michalovadek.github.io/nmfbin/},
}
Contributions
Contributions to the nmfbin package are more than welcome. Please submit pull requests or open an issue for discussion.
Owner
- Name: Michal Ovádek
- Login: michalovadek
- Kind: user
- Location: London
- Company: University College London
- Website: https://michalovadek.github.io/
- Twitter: michal_ovadek
- Repositories: 4
- Profile: https://github.com/michalovadek
Lecturer at University College London
GitHub Events
Total
- Push event: 2
Last Year
- Push event: 2
Packages
- Total packages: 1
-
Total downloads:
- cran 160 last-month
- Total dependent packages: 0
- Total dependent repositories: 0
- Total versions: 1
- Total maintainers: 1
cran.r-project.org: nmfbin
Non-Negative Matrix Factorization for Binary Data
- Homepage: https://michalovadek.github.io/nmfbin/
- Documentation: http://cran.r-project.org/web/packages/nmfbin/nmfbin.pdf
- License: MIT + file LICENSE
-
Latest release: 0.2.1
published over 2 years ago
Rankings
Maintainers (1)
Dependencies
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- r-lib/actions/setup-r v2 composite
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- JamesIves/github-pages-deploy-action v4.4.1 composite
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- r-lib/actions/setup-r v2 composite
- r-lib/actions/setup-r-dependencies v2 composite
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