can I normalized the tensor rank in this way?

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Is there such a thing as a "normalized tensor rank" for non-square tensors (i.e. a tensor with different sizes along each mode)?

For example: If a 3rd order tensor (dimensions = 60 x 120 x 30) has mode-ranks

  • rank-mode1 = 15 (i.e. the matrix-rank after unfolding the 3D-tensor along mode1)
  • rank-mode2 = 16 (ditto)
  • rank-mode3 = 10 (ditto)

Does it make sense to normalize the ranks by their respective mode-lengths"?

  • normalized rank-mode1 = 15/60
  • normalized rank-mode2 = 16/120
  • normalized rank-mode3 = 10/30

And, for the example above, can I use this normalized rank to infer a simpler "structure" along mode2-unfolding?

OR does the lowes rank, regardless of mode-direction, define the "simplest" structure direction?

Thank you