Skip to main content
Article thumbnail
Location of Repository

T (2008) Author-topic evolution analysis using threeway non-negative paratucker

By Wei Peng and Tao Li


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

Topics: Categories and Subject Descriptors, I.5.3 [Pattern Recognition, Clustering- Algorithms General Terms, Algorithms, Experimentation, Performance Keywords, Tensor, Three-way data, Author-Topic Evolution
Publisher: ACM Press
Year: 2013
OAI identifier: oai:CiteSeerX.psu:
Provided by: CiteSeerX
Download PDF:
Sorry, we are unable to provide the full text but you may find it at the following location(s):
  • (external link)
  • (external link)
  • Suggested articles

    To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.