plotTensor3Ds

Multiple multi-dimensional arrays and matrices are visualized simultaneously.

methods

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.

Koki Tsuyuzaki

mwTensor

Multi-Way Component Analysis

plotTensor3Ds function

<dl> <dt>Xs</dt>
<dd>A List object containing multi-dimensional array (or matrix) in
each element.</dd></dl>

Arguments

Author

Plot function for visualization of tensor data structure — plotTensor3Ds

<dl>

 <dt>Xs</dt>
<dd>A List object containing multi-dimensional array (or matrix) in
each element.</dd>

</dl>

plotTensor3Ds: Plot function for visualization of tensor data structure

Description

Usage

Arguments

Author

See Also

Examples