ICA-Based Matrix/Tensor Decomposition

Documentation for package ‘iTensor’ version 0.99.0

ICA	Independent Component Analysis The input data is assumed to be a matrix. ICA decomposes the matrix and extract the components that are statistically independent each other.
MICA	Multimodal independent component analysis The input datasets are assumed to be two matrices sharing the column space. MICA decomposes the matrices simutanously and extracts the components that maximizes the mutual information between the components.
MultilinearICA	Multilinear independent component analysis 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.