initialize-methods

initialize,Tensor-method

Not designed to be called by the user. Use <code>as.tensor</code> instead.

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

James Li

Jacob Bien

Martin Wells

initialize-methods function

<dl><dt>.Object</dt>
<dd>the tensor object</dd>
<dt>num_modes</dt>
<dd>number of modes of the tensor</dd>
<dt>modes</dt>
<dd>modes of the tensor</dd>
<dt>data</dt>
<dd>can be vector, matrix, or array</dd></dl>

Arguments

Initializes a Tensor instance — initialize-methods

<dl>

<dt>.Object</dt>
<dd>the tensor object</dd>


<dt>num_modes</dt>
<dd>number of modes of the tensor</dd>


<dt>modes</dt>
<dd>modes of the tensor</dd>


<dt>data</dt>
<dd>can be vector, matrix, or array</dd>

</dl>

initialize-methods: Initializes a Tensor instance

Description

Usage

Arguments

See Also