MWCA: Multi-way Component Analysis (MWCA)

In rikenbit/mwTensor: Multi-Way Component Analysis

Multi-way Component Analysis (MWCA)

Description

The input is assumed to be a MWCAParams object.

Usage

MWCA(params)

Arguments

params

MWCAParams object

Value

MWCAResult 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

MWCAParams-class and MWCAResult-class.

Examples

  if(interactive()){
  	# Test data (single array)
    X <- nnTensor::toyModel("Tucker")@data
    # Default Parameters
    params <- defaultMWCAParams(X)
    # Perform MWCA
    out <- MWCA(params)
  }

rikenbit/mwTensor documentation built on July 21, 2023, 11:41 a.m.