IclPath-class

An S4 class to represent a hierarchical path of solution.

An ensemble of algorithms that enable the clustering of networks and data matrices (such as counts, categorical or continuous) with different type of generative models. Model selection and clustering is performed in combination by optimizing the Integrated Classification Likelihood (which is equivalent to minimizing the description length). Several models are available such as: Stochastic Block Model, degree corrected Stochastic Block Model, Mixtures of Multinomial, Latent Block Model. The optimization is performed thanks to a combination of greedy local search and a genetic algorithm (see <arXiv:2002:11577> for more details).

Etienne C<c3><b4>me

greed

Clustering and Model Selection with the Integrated
Classification Likelihood

Etienne Côme

Nicolas Jouvin

IclPath-class function

<dl>
<dt><code>path</code></dt>
<dd>a list of merge moves describing the hierarchy of merge followed to complete totally the merge path.</dd></dl>
<dt><code>tree</code></dt>
<dd>a tree representation of the merges.</dd>
<dt><code>ggtree</code></dt>
<dd>a data.frame for easy plotting of the dendrogram</dd>
<dt><code>logalpha</code></dt>
<dd>a numeric value which corresponds to the starting value of log(alpha).</dd>

Slots

Abstract class to represent a hierarchical clustering result — IclPath-class

<dl>
<dt><code>path</code></dt>
<dd>a list of merge moves describing the hierarchy of merge followed to complete totally the merge path.</dd>


<dt><code>tree</code></dt>
<dd>a tree representation of the merges.</dd>


<dt><code>ggtree</code></dt>
<dd>a data.frame for easy plotting of the dendrogram</dd>


<dt><code>logalpha</code></dt>
<dd>a numeric value which corresponds to the starting value of log(alpha).</dd>


</dl>

IclPath-class: Abstract class to represent a hierarchical clustering result

Description

Arguments

Slots