Tensor Noise Reduction and Completion Based on Ordinal Observations

Efficient algorithm for tensor noise reduction and completion of ordinal tensor data based on the cumulative link model. The algorithm employs the alternating optimization approach. The detailed algorithm description can be found in Lee and Wang, Proceedings of International Conference on Machine Learning, 119:5778-5788, 2020.


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install.packages("tensorordinal")

0.2.0 by Chanwoo Lee, 4 months ago


http://proceedings.mlr.press/v119/lee20i.html


Browse source code at https://github.com/cran/tensorordinal


Authors: Chanwoo Lee <[email protected]> , Miaoyan Wang <[email protected]>


Documentation:   PDF Manual  


GPL (>= 2) license


Imports pracma, MASS, rTensor, methods


See at CRAN