View source: R/defaultCoupledMWCAParams.R
defaultCoupledMWCAParams | R Documentation |
The input list is assumed to contain multiple arrays.
defaultCoupledMWCAParams(Xs, common_model)
Xs |
A list object containing multiple arrays |
common_model |
A list object to describe the relationship between dimensions of each tensor and factor matrices extracted from the tensor |
CoupledMWCAParams object.
Koki Tsuyuzaki
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
CoupledMWCAParams-class
and MWCAResult-class
.
if(interactive()){
# Test data (multiple arrays)
Xs=list(
X1=array(runif(7*4), dim=c(7,4)),
X2=array(runif(4*5*6), dim=c(4,5,6)),
X3=array(runif(6*8), dim=c(6,8)))
# Setting of factor matrices
common_model=list(
X1=list(I1="A1", I2="A2"),
X2=list(I2="A2", I3="A3", I4="A4"),
X3=list(I4="A4", I5="A5"))
# Default Parameters
params <- defaultCoupledMWCAParams(Xs=Xs, common_model=common_model)
# Perform Coupled MWCA
out <- CoupledMWCA(params)
}
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