Different Tensor Factorization techniques suitable for RDF Tensors. RDF Tensors are threemodetensors, binary tensors and usually very sparse. Currently implemented methods are 'RESCAL' Maximilian Nickel, Volker Tresp, and HansPeter 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:10.1007/9783642334603_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 realnumberdecompositions. These methods also are for general tensors, so with few modifications they can be applied for other types of tensor.
Package details 


Author  Abdelmoneim Amer Desouki 
Maintainer  Abdelmoneim Amer Desouki <[email protected]> 
License  GPL3 
Version  1.1 
Package repository  View on CRAN 
Installation 
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