Different Tensor Factorization (Decomposition) Techniques for RDF Tensors (Three-Mode-Tensors)

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) , 'NMU' Daniel D. Lee and H. Sebastian Seung (1999) , 'ALS', Alternating Least Squares 'parCube' Papalexakis, Evangelos, C. Faloutsos, and N. Sidiropoulos (2012) , 'CP_APR' C. Chi and T. G. Kolda (2012) . 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.


RDFTensor Version History


Version 1.1 2019-01-11


  • elimination of obselete function cBind.
  • exported function getTensor3m


Version 1.0 2018-11-16


  • initial public release

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.


1.1 by Abdelmoneim Amer Desouki, 2 months ago

Browse source code at https://github.com/cran/RDFTensor

Authors: Abdelmoneim Amer Desouki

Documentation:   PDF Manual  

GPL-3 license

Depends on Matrix, methods, pracma

See at CRAN