toyModel

The data is used to confirm that the algorithm are properly working.

methods

Semi-Binary and Semi-Ternary Matrix Decomposition are performed based on Non-negative Matrix Factorization (NMF) and Singular Value Decomposition (SVD). For the details of the methods, see the reference section of GitHub README.md <https://github.com/rikenbit/dcTensor>.

Koki Tsuyuzaki

dcTensor

Discrete Matrix/Tensor Decomposition

toyModel function

<dl> <dt>model</dt>
<dd>Single character string is specified.
"dNMF", "dSVD", "dsiNMF_Easy", "dsiNMF_Hard", "dPLS_Easy", "dPLS_Hard", "dNTF", and "dNTD" are available (Default: "dNMF").</dd> <dt>seeds</dt>
<dd>Random number for setting set.seeds in the function (Default: 123).</dd></dl>

Arguments

Author

Toy model data for using dNMF, dSVD, dsiNMF, djNMF, dPLS, dNTF, and dNTD — toyModel

<dl>

 <dt>model</dt>
<dd>Single character string is specified.
"dNMF", "dSVD", "dsiNMF_Easy", "dsiNMF_Hard", "dPLS_Easy", "dPLS_Hard", "dNTF", and "dNTD" are available (Default: "dNMF").</dd>

 <dt>seeds</dt>
<dd>Random number for setting set.seeds in the function (Default: 123).</dd>

</dl>

toyModel: Toy model data for using dNMF, dSVD, dsiNMF, djNMF, dPLS, dNTF, and dNTD

Description

Usage

Value

Arguments

Author

See Also

Examples