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.


News

RDFTensor Version History

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Version 1.1 2019-01-11

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  • elimination of obselete function cBind.
  • exported function getTensor3m

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Version 1.0 2018-11-16

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  • initial public release

Reference manual

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install.packages("RDFTensor")

1.1 by Abdelmoneim Amer Desouki, 6 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