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)
Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.