tSVDdct | R Documentation |
Performs a tensor singular value decomposition on any 3-mode tensor using the discrete Cosine transform.
tSVDdct(tnsr)
tnsr |
: a 3-mode tensor |
a Tensor-class object
If the SVD is performed on a m x n x k tensor, the components in the returned value are:
U: The left singular value tensor object (m x m x k)
V: The right singular value tensor object (n x n x k)
S: A diagonal tensor (m x n x k)
Kyle Caudle kyle.caudle@sdsmt.edu
require(rTensor) T <- rand_tensor(modes=c(2,3,4)) print(tSVDdct(T))
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