Tensor k-mode Unfolding
Unfolding of a tensor by mapping the kth mode (specified through parameter m), and all other modes onto the column space. This the most common type of unfolding operation for Tucker decompositions and its variants. Also known as k-mode matricization.
k_unfold(tnsr, m) ## S4 method for signature 'Tensor' k_unfold(tnsr, m = NULL)
tnsr |
the Tensor instance |
m |
the index of the mode to unfold on |
k_unfold(tnsr,m=NULL)
matrix with x@modes[m] rows and prod(x@modes[-m]) columns
T. Kolda and B. Bader, "Tensor decomposition and applications". SIAM Applied Mathematics and Applications 2009.
tnsr <- rand_tensor() matT2<-rs_unfold(tnsr,m=2)
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