Description Details Author(s) References See Also Examples

For single tensor data, any matrix factorization method can be specified the matricised tensor in each dimension by Multi-way Component Analysis (MWCA). An originally extended MWCA is also implemented to specify and decompose multiple matrices and tensors simultaneously (CoupledMWCA). See the reference section of GitHub README.md <https://github.com/rikenbit/mwTensor>, for details of the methods.

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

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

Koki Tsuyuzaki [aut, cre]

Maintainer: Koki Tsuyuzaki <k.t.the-answer@hotmail.co.jp>

Andrzej Cichocki et al., (2016). Tensor Networks for Dimensionality Reduction and Large-scale Optimization: Part 1 Low-Rank Tensor Decompositions

Andrzej Cichocki et al., (2015). Tensor Decompositions for Signal Processing Applications, *IEEE SIGNAL PROCESSING MAGAZINE*

Gene H. Golub et al., (2012). Matrix Computation (Johns Hopkins Studies in the Mathematical Sciences), *Johns Hopkins University Press*

Madeleine Udell et al., (2016). Generalized Low Rank Models, *Foundations and Trends in Machine Learning*, 9(1).

Andrzej CICHOCK, et. al., (2009). Nonnegative Matrix and Tensor Factorizations.

A. Hyvarinen. (1999). Fast and Robust Fixed-Point Algorithms for Independent Component Analysis. *IEEE Transactions on Neural Networks*, 10(3), 626-634.

Petros Drineas et al., (2008). Relative-Error CUR Matrix Decompositions, *SIAM Journal on Matrix Analysis and Applications*, 30(2), 844-881.

`mySVD`

, `myALS_SVD`

, `myNMF`

, `myICA`

, `myCX`

, `MWCA`

, `CoupledMWCA`

, `plotTensor3Ds`

1 | ```
ls("package:mwTensor")
``` |

Embedding an R snippet on your website

Add the following code to your website.

For more information on customizing the embed code, read Embedding Snippets.