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.
Version: | 1.2 |
Depends: | R (≥ 3.2.0), Matrix, methods, pracma, doParallel, parallel, foreach |
Suggests: | pryr, rARPACK, knitr, rmarkdown |
Published: | 2020-05-31 |
Author: | Abdelmoneim Amer Desouki |
Maintainer: | Abdelmoneim Amer Desouki <desouki at mail.upb.de> |
License: | GPL-3 |
NeedsCompilation: | no |
Materials: | NEWS |
CRAN checks: | RDFTensor results |
Reference manual: | RDFTensor.pdf |
Vignettes: |
RDFTensor Package |
Package source: | RDFTensor_1.2.tar.gz |
Windows binaries: | r-devel: RDFTensor_1.2.zip, r-release: RDFTensor_1.2.zip, r-oldrel: RDFTensor_1.2.zip |
macOS binaries: | r-release: RDFTensor_1.2.tgz, r-oldrel: RDFTensor_1.2.tgz |
Old sources: | RDFTensor archive |
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