RDFTensor (version 1.3)

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

Description

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.

Copy Link

Version

Down Chevron

Install

install.packages('RDFTensor')

Monthly Downloads

40

Version

1.3

License

GPL-3

Last Published

January 14th, 2021

Functions in RDFTensor (1.3)