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


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Documentation for package ‘RDFTensor’ version 1.3

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RDFTensor-package Different Tensor Factorization (Decomposition) Techniques for RDF Tensors (Three-Mode-Tensors)
CP_01 transformation of the real-number-CP-decompositions to Binary
cp_als Compute a CP decomposition using an alternating least-squares algorithm(als)
cp_apr Compute nonnegative CP with alternating Poisson regression(CP_APR)
cp_nmu Compute nonnegative CP with multiplicative updates(NMU)
CP_R01 inverse of real-number-CP-decompositions to Binary
default_parcube_options parCube initialization parameters
getTensor getting tensor from triples
getTensor3m getting tensor from triples
getTnsrijk tensor frontal slices to indices
inv_rescal_sf_prd_chnkgrp Reconstruct predicate(s) via chunks and grouping
RDFTensor Different Tensor Factorization (Decomposition) Techniques for RDF Tensors (Three-Mode-Tensors)
recon_1prd_topn_par Reconstruct predicate top scores on very large graphs
rescal RESCAL: Tensor Factorization.
RescalReconstructBack reconstruct a tensor from RESCAL factorization result
rescal_01 transformation of the real-number-RESCAL-decompositions to Binary
rescal_SO_Val calaculate scores Subj,Predicate,Obj
rescal_Trp_Val RESCAL scores of triples
scRescal Scalable RESCAL Factorization
serial_parCube Serial 3-mode ParCube algorithm for memory resident tensors
spt_mttkrp Matricized tensor times Khatri-Rao product for ktensor
tensor2mat Reduce tensor to matrix
Tensor_error RESCAL Tensor error
tnsr2trp sparse tensor to triples
umls_tnsr RDF tensor of UMLS small graph