mwTensor
R package for Multi-way Component Analysis
Installation
git clone https://github.com/rikenbit/mwTensor/
R CMD INSTALL mwTensor
or type the code below in the R console window
library(devtools)
devtools::install_github("rikenbit/mwTensor")
References
- Multi-way Component Analysis
- Andrzej Cichocki et al., Tensor Networks for Dimensionality
Reduction and Large-scale Optimization: Part 1 Low-Rank Tensor
Decompositions, 2016
- Andrzej Cichocki et al., Tensor Decompositions for Signal Processing
Applications, IEEE SIGNAL PROCESSING MAGAZINE, 2015
- Singular Value Decomposition: Gene H. Golub et al.,
Matrix Computation (Johns Hopkins Studies in the Mathematical Sciences),
Johns Hopkins University Press, 2012
- Alternating Least Square Singular Value Decomposition
(ALS-SVD): Madeleine Udell et al., Generalized Low Rank Models,
Foundations and Trends in Machine Learning, 9(1), 2016
- Non-negative Matrix Factorization (NMF) : CICHOCK,
et. al., Nonnegative Matrix and Tensor Factorizations, Andrzej 2009
- Independent Component Analysis (ICA): A. Hyvarinen.
Fast and Robust Fixed-Point Algorithms for Independent Component
Analysis. IEEE Transactions on Neural Networks, 10(3), 626-634,
1999
- CX Decomposition: Petros Drineas et al.,
Relative-Error CUR Matrix Decompositions, SIAM Journal on Matrix
Analysis and Applications, 30(2), 844-881, 2008
License
Copyright (c) 2021 Koki Tsuyuzaki and Laboratory for Bioinformatics
Research, RIKEN Center for Biosystems Dynamics Reseach Released under
the Artistic
License 2.0.
Authors