cluster_spectrum

Get a vector of cluster assignments from a spectrum,
using k-means++ and <code>num_clusts</code> clusters.

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

cluster_spectrum function

<dl><dt>spectrum</dt>
<dd>A list containing <code>$vects</code>;
the matrix of eigenvectors to pass to k-means++.</dd>
<dt>num_clusts</dt>
<dd>The number of clusters to find.</dd></dl>

Arguments

Get cluster assignments from spectrum using k-means++ — cluster_spectrum

<dl>

<dt>spectrum</dt>
<dd>A list containing <code>$vects</code>;
the matrix of eigenvectors to pass to k-means++.</dd>


<dt>num_clusts</dt>
<dd>The number of clusters to find.</dd>

</dl>

cluster_spectrum: Get cluster assignments from spectrum using k-means++

Description

Usage

Value

Arguments