Analyzing three-way data has attracted a lot of attention recently due to the intrinsic rich structures in real-world datasets. The PAR-ATUCKER model has been proposed to combine the axis capabilities of the Parafac model and the structural generality of the Tucker model. Since no algorithms have been developed for fitting the PARATUCKER model, in this paper, we propose TANPT algorithm to solve it, and apply it to temporal relation co-clustering on author-topic evolution. Experiments on DBLP datasets demonstrate the effectiveness of our proposed algorithm
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