rs_unfold-methods

rs_unfold

rs_unfold,Tensor-method

tnsr

<p>DEPRECATED. Please see <code><a rd-options="" href="/link/k_unfold-methods?package=rTensor&version=1.4.8" data-mini-rdoc="rTensor::k_unfold-methods">k_unfold-methods</a></code> and <code><a rd-options="" href="/link/unfold-methods?package=rTensor&version=1.4.8" data-mini-rdoc="rTensor::unfold-methods">unfold-methods</a></code>.</p>

A set of tools for creation, manipulation, and modeling
of tensors with arbitrary number of modes. A tensor in the context of data
analysis is a multidimensional array. rTensor does this by providing a S4
class 'Tensor' that wraps around the base 'array' class. rTensor
provides common tensor operations as methods, including matrix unfolding,
summing/averaging across modes, calculating the Frobenius norm, and taking
the inner product between two tensors. Familiar array operations are
overloaded, such as index subsetting via '[' and element-wise operations.
rTensor also implements various tensor decomposition, including CP, GLRAM,
MPCA, PVD, and Tucker. For tensors with 3 modes, rTensor also implements
transpose, t-product, and t-SVD, as defined in Kilmer et al. (2013). Some
auxiliary functions include the Khatri-Rao product, Kronecker product, and
the Hadamard product for a list of matrices.

Koki Tsuyuzaki

rTensor

Tools for Tensor Analysis and Decomposition

rs_unfold-methods function

<p>DEPRECATED. Please see <code><a rd-options='' href='k_unfold-methods'>k_unfold-methods</a></code> and <code><a rd-options='' href='unfold-methods'>unfold-methods</a></code>.</p>

rs_unfold-methods: Tensor Row Space Unfolding

Description

Usage

Arguments

Details