tensor2mat

List of tensor slices (Latent folding).

when true returns binary matrix (i.e. ignores multiple connections 
 between entities), default FALSE.

binary

when true all relations are considered symetric before adding the slices, 
 default FALSE.

symmetrize

Reduce the tensor to one matrix by summing all slices efficiently.

Different Tensor Factorization techniques suitable for RDF Tensors.
RDF Tensors are three-mode-tensors, binary tensors and usually very sparse.
Currently implemented methods are
'RESCAL' Maximilian Nickel, Volker Tresp, and Hans-Peter Kriegel (2012) <doi:10.1145/2187836.2187874>,
'NMU' Daniel D. Lee and H. Sebastian Seung (1999) <doi:10.1038/44565>,
'ALS', Alternating Least Squares
'parCube' Papalexakis, Evangelos, C. Faloutsos, and N. Sidiropoulos (2012) <doi:10.1007/978-3-642-33460-3_39>,
'CP_APR' C. Chi and T. G. Kolda (2012) <doi:10.1137/110859063>.
The code is mostly converted from MATLAB and Python implementations of these methods.
The package also contains functions to get Boolean (Binary) transformation of the real-number-decompositions.
These methods also are for general tensors, so with few modifications they can be applied for other types of tensor.

tensor2mat: Reduce tensor to matrix

Description

Usage

Arguments

Value