Recent Releases of nnTensor
nnTensor - Version 1.3.0
sym option in kFoldMaskTensor was added
Scientific Software - Peer-reviewed
- R
Published by kokitsuyuzaki about 2 years ago
nnTensor - Version 1.2.0
o kFoldMaskTensor was modified to avoid NA o Vignette for kFoldMaskTensor was added o NMF(), siNMF(), jNMF(), NTF(), and NTD() were modified to allow missing values (NA) in the input matrix/tensor
Scientific Software - Peer-reviewed
- R
Published by kokitsuyuzaki almost 3 years ago
nnTensor - nnTensor: An R package for non-negative matrix/tensor decomposition
Peer-reviewed software and manuscript. See the JOSS review issue for details: openjournals/joss-reviews#5015
Non-negative matrix factorization (NMF) is a widely used algorithm to decompose non-negative matrix data into factor matrices. Due to the interpretability of its non-negativity and the convenience of using decomposition results as clustering, there are many applications of NMF in image processing, audio processing, and bioinformatics.
NMF has been applied to matrix data but there is a growing demand to apply NMF to more heterogeneous non-negative data such as multiple matrices and tensors (high-dimensional arrays), which are higher-order data structures than matrices. To meet these requirements, we originally developed nnTensor, which is an R/CRAN package to perform some non-negative matrix/tensor decomposition algorithms (https://cran.r-project.org/web/packages/nnTensor/index.html).
Zenodo doi: 10.5281/zenodo.7848088
Scientific Software - Peer-reviewed
- R
Published by kokitsuyuzaki about 3 years ago
nnTensor - Version 1.1.13
o Vignettes were modified
Scientific Software - Peer-reviewed
- R
Published by kokitsuyuzaki over 3 years ago
nnTensor - Version 1.1.12
VERSION 1.1.12
o Help messages for NTF(), NTD(), and recTensor() were updated to explain higher order tensor cases o Vignettes were added
Scientific Software - Peer-reviewed
- R
Published by kokitsuyuzaki over 3 years ago
nnTensor - Version 1.1.9
First Release
Scientific Software - Peer-reviewed
- R
Published by kokitsuyuzaki over 3 years ago