Genetic-class

Genetic

An S4 class to represent a genetic algorithm (extends <code>Alg-class</code> class).

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

Genetic-class function

<dl><dt>pop_size</dt>
<dd>size of the solutions populations (default to 10)</dd>
<dt>nb_max_gen</dt>
<dd>maximal number of generation to produce (default to 4)</dd>
<dt>prob_mutation</dt>
<dd>probability of mutation (default to 0.25)</dd>
<dt>sel_frac</dt>
<dd>fraction of best solutions selected for crossing (default to 0.75)</dd></dl>

Arguments

<ul>
<li><code>Genetic</code>: Genetic algorithm class constructor</li>
</ul>

Functions

<dl>
<dt><code>pop_size</code></dt>
<dd>size of the solutions populations (default to 10)</dd></dl>
<dt><code>nb_max_gen</code></dt>
<dd>maximal number of generation to produce (default to 4)</dd>
<dt><code>prob_mutation</code></dt>
<dd>probability of mutation (default to 0.25)</dd>
<dt><code>sel_frac</code></dt>
<dd>fraction of best solutions selected for crossing (default to 0.75)</dd>

Slots

Genetic optimization algorithm — Genetic-class

<dl>

<dt>pop_size</dt>
<dd>size of the solutions populations (default to 10)</dd>


<dt>nb_max_gen</dt>
<dd>maximal number of generation to produce (default to 4)</dd>


<dt>prob_mutation</dt>
<dd>probability of mutation (default to 0.25)</dd>


<dt>sel_frac</dt>
<dd>fraction of best solutions selected for crossing (default to 0.75)</dd>

</dl>

<dl>
<dt><code>pop_size</code></dt>
<dd>size of the solutions populations (default to 10)</dd>


<dt><code>nb_max_gen</code></dt>
<dd>maximal number of generation to produce (default to 4)</dd>


<dt><code>prob_mutation</code></dt>
<dd>probability of mutation (default to 0.25)</dd>


<dt><code>sel_frac</code></dt>
<dd>fraction of best solutions selected for crossing (default to 0.75)</dd>


</dl>

Genetic-class: Genetic optimization algorithm

Description

Usage

Value

Arguments

Functions

Slots

Examples