Description Usage Arguments Value Author(s) References
View source: R/cichocki_meet.R
The model is
Y = A + E,
where A is a low-rank matrix and E is the noise matrix is i.i.d. N(0,s) entries. s is not assumed to be known.
1 |
Y |
A numeric array. |
tau2 |
The known variance. Will be estimated if missing. Not supported yet. |
A list with two elements: rank
the estimated multilinear rank of the tensor and
sigma
a vector of the estimated variance when using each mode.
David Gerard
Yokota, Tatsuya, Namgil Lee, and Andrzej Cichocki. "Robust multilinear tensor rank estimation using higher order singular value decomposition and information criteria." IEEE Transactions on Signal Processing 65.5 (2017): 1196-1206. DOI: 10.1109/TSP.2016.2620965
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