FacIt - Factorizing Tensors into Interpretable and Scrutinizable Patterns

Xidao Wen
Xidao Wen
Konstantinos Pelechrinis
Konstantinos Pelechrinis
Xi Liu
Xi Liu
Yongsu Ahn
Yongsu Ahn

VIS, pp. 1-5, 2019.

Cited by: 0|Bibtex|Views63|DOI:https://doi.org/10.1109/VISUAL.2019.8933750
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Other Links: dblp.uni-trier.de|academic.microsoft.com

Abstract:

Tensor Factorization has been widely used in many fields to discover latent patterns from multidimensional data. Interpreting or scrutinizing the tensor factorization results are, however, by no means easy. We introduce FacIt, a generic visual analytic system that directly factorizes tensor-formatted data into a visual representation of p...More

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