MultilinearICA: Multilinear independent component analysis

In iTensor: ICA-Based Matrix/Tensor Decomposition

Multilinear independent component analysis

Description

#' The input object is assumed to be a Tensor object defined by rTensor package. In MultilinearICA, ICA function is performed in each mode of the tensor.

Usage

MultilinearICA(
  X,
  Js = c(3, 3, 3),
  modes = 1:3,
  algorithm = c("FastICA", "InfoMax", "ExtInfoMax", "JADE", "AuxICA1", "AuxICA2", "IPCA",
    "SIMBEC", "AMUSE", "SOBI", "FOBI", "ProDenICA", "RICA")
)

Arguments

X	An rTensor object
Js	A vector to specify the rank in each mode (Default: c(3,3,3))
modes	A vector to specify which modes are decomposed (Default: 1:3)
algorithm	The algorithm to decompose the input tensor in each mode (Default: "FastICA")

Value

A list containing the result of the decomposition

Examples

library("rTensor")
arrX <- array(runif(10*20*30), dim=c(10,20,30))
X <- as.tensor(arrX)
Js <- c(2,3,4)
out <- MultilinearICA(X, Js=Js)

iTensor documentation built on April 28, 2023, 9:11 a.m.