Package: RDFTensor
Type: Package
Title: Different Tensor Factorization (Decomposition) Techniques for
        RDF Tensors (Three-Mode-Tensors)
Version: 1.2
Date: 2020-5-31
Author: Abdelmoneim Amer Desouki
Maintainer: Abdelmoneim Amer Desouki <desouki@mail.upb.de>
Depends: R (>= 3.2.0), Matrix, methods, pracma, doParallel, parallel,
        foreach
Suggests: pryr, rARPACK, knitr, rmarkdown
VignetteBuilder: knitr
Description: 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.org/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.
License: GPL-3
NeedsCompilation: no
Packaged: 2020-05-31 11:12:14 UTC; Abdelmonem
Repository: CRAN
Date/Publication: 2020-05-31 11:30:02 UTC
