defaultCoupledMWCAParams {mwTensor}

Default parameters for CoupledMWCA

Description

The input list is assumed to contain multiple arrays.

Usage

defaultCoupledMWCAParams(Xs, common_model)

Arguments

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

Value

CoupledMWCAParams object.

Author(s)

Koki Tsuyuzaki

References

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

See Also

CoupledMWCAParams-class and MWCAResult-class.

Examples

  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)
  }