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: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: | 1.1 |
| Depends: | R (≥ 3.2.0), Matrix, methods, pracma |
| Published: | 2019-01-11 |
| 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 |
| Package source: | RDFTensor_1.1.tar.gz |
| Windows binaries: | r-devel: RDFTensor_1.1.zip, r-release: RDFTensor_1.1.zip, r-oldrel: RDFTensor_1.1.zip |
| OS X binaries: | r-release: RDFTensor_1.1.tgz, r-oldrel: RDFTensor_1.1.tgz |
| Old sources: | RDFTensor archive |
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