k_unfold-methods: Tensor k-mode Unfolding

In jamesyili/rTensor: Tools for tensor analysis and decomposition

Description

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.

Usage

k_unfold(tnsr, m)

## S4 method for signature 'Tensor'
k_unfold(tnsr, m = NULL)

Arguments

tnsr	the Tensor instance
m	the index of the mode to unfold on

Details

k_unfold(tnsr,m=NULL)

Value

matrix with x@modes[m] rows and prod(x@modes[-m]) columns

References

T. Kolda and B. Bader, "Tensor decomposition and applications". SIAM Applied Mathematics and Applications 2009.

See Also

matvec-methods and unfold-methods

Examples

tnsr <- rand_tensor()
matT2<-rs_unfold(tnsr,m=2)

jamesyili/rTensor documentation built on May 18, 2019, 11:22 a.m.