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mwTensor (version 1.1.0)

Multi-Way Component Analysis

Description

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 , for details of the methods.

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Install

install.packages('mwTensor')

Monthly Downloads

149

Version

1.1.0

License

MIT + file LICENSE

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Repository

https://github.com/rikenbit/mwTensor

Maintainer

Koki Tsuyuzaki

Last Published

July 6th, 2023

Functions in mwTensor (1.1.0)

Plot function for visualization of tensor data structure

Toy model of coupled tensor data

Singular Value Decomposition (SVD) as an example of user-defined matrix decomposition.

Independent Component Analysis (ICA) as an example of user-defined matrix decomposition.

CX Decomposition as an example of user-defined matrix decomposition.

MWCAParams-class

Class "MWCAParams"

Alternating Least Square Singular Value Decomposition (ALS-SVD) as an example of user-defined matrix decomposition.

Coupled Multi-way Component Analysis (CoupledMWCA)

CoupledMWCAParams-class

Class "CoupledMWCAParams"

CoupledMWCAResult-class

Class "CoupledMWCAResult"

mwTensor-package

tools:::Rd_package_title("mwTensor")

defaultCoupledMWCAParams

Default parameters for CoupledMWCA

MWCAResult-class

Class "MWCAResult"

defaultMWCAParams

Default parameters for MWCA

Multi-way Component Analysis (MWCA)

Independent Component Analysis (ICA) as an example of user-defined matrix decomposition.