Algorithms for an Efficient Tensor Biclustering

  title={Algorithms for an Efficient Tensor Biclustering},
  author={Andriantsiory Dina Faneva and Mustapha Lebbah and Hanene Azzag and Ga{\"e}l Beck},
Consider a data set collected by (individuals-features) pairs in different times. It can be represented as a tensor of three dimensions (Individuals, features and times). The tensor biclustering problem computes a subset of individuals and a subset of features whose signal trajectories over time lie in a low-dimensional subspace, modeling similarity among the signal trajectories while allowing different scalings across different individuals or different features. This approach are based on… 
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