plotDendrogram

Plot dendrogram to visualize the clustering obtained by the hierarchical
clustering algorithm

Graph clustering using an agglomerative algorithm to maximize the
integrated classification likelihood criterion and a mixture of stochastic
block models. The method is described in the article "Model-based clustering
of multiple networks with a hierarchical algorithm" by
T. Rebafka (2022) <arXiv:2211.02314>.

Tabea Rebafka

graphclust

Hierarchical Graph Clustering for a Collection of Networks

plotDendrogram function

<dl><dt>res</dt>
<dd>output of graphClustering()</dd>
<dt>labels</dt>
<dd>network labels, default (NULL) network number.</dd>
<dt>labcex</dt>
<dd>size of labels in the figure</dd></dl>

Arguments

Plot dendrogram to visualize the clustering obtained by the hierarchical
clustering algorithm — plotDendrogram

<dl>

<dt>res</dt>
<dd>output of graphClustering()</dd>


<dt>labels</dt>
<dd>network labels, default (NULL) network number.</dd>


<dt>labcex</dt>
<dd>size of labels in the figure</dd>

</dl>

plotDendrogram: Plot dendrogram to visualize the clustering obtained by the hierarchical clustering algorithm

Description

Usage

Value

Arguments

Examples