a_b_one

Compute <code>a * (b %*% one_mat)</code> where <code>a</code>, <code>b</code>,
<code>ones_mat</code> are square matrices of the same size,
and <code>ones_mat</code> contains all entries equal to one.
The product <code>*</code> is an entry-wise (Hadamard) product,
while <code>%*%</code> represents matrix multiplication.
This method is more efficient than the naive approach
when <code>a</code> or <code>b</code> are sparse.

internal

Tools for spectral clustering of weighted directed networks using motif
adjacency matrices. Methods perform well on large and sparse networks, and
random sampling methods for generating weighted directed networks are also
provided. Based on methodology detailed in Underwood, Elliott and Cucuringu
(2020) <arXiv:2004.01293>.

William George Underwood

motifcluster

Motif-Based Spectral Clustering of Weighted Directed Networks

a_b_one function

<dl><dt>a, b</dt>
<dd>Square matrices.</dd></dl>

Arguments

Compute a right-multiplication with the ones matrix — a_b_one

<dl>

<dt>a, b</dt>
<dd>Square matrices.</dd>

</dl>

a_b_one: Compute a right-multiplication with the ones matrix

Description

Usage

Value

Arguments