dcTensor-package: Discrete Matrix/Tensor Decomposition

In dcTensor: Discrete Matrix/Tensor Decomposition

Discrete Matrix/Tensor Decomposition

Description

Semi-Binary and Semi-Ternary Matrix Decomposition are performed based on Non-negative Matrix Factorization (NMF) and Singular Value Decomposition (SVD). For the details of the methods, see the reference section of GitHub README.md <https://github.com/rikenbit/dcTensor>.

Details

The DESCRIPTION file: This package was not yet installed at build time.
Index: This package was not yet installed at build time.

Author(s)

Koki Tsuyuzaki [aut, cre]

Maintainer: Koki Tsuyuzaki <[e-mail]>

References

Z. Zhang, T. Li, C. Ding and X. Zhang, (2007). Binary Matrix Factorization with Applications, Seventh IEEE International Conference on Data Mining (ICDM 2007), 391-400

See Also

toyModel,dNMF,dSVD

Examples

ls("package:dcTensor")

dcTensor documentation built on June 22, 2024, 6:57 p.m.