CombinedModels

CombinedModels-class

An S4 class to represent a combined clustering models, where several models are used to model different datasets. A conditional independence assumption between the view knowing the cluster is made.

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

CombinedModels function

<dl><dt>models</dt>
<dd>a named list of DlvmPrior's object</dd>
<dt>alpha</dt>
<dd>Dirichlet prior parameter over the cluster proportions (default to 1)</dd></dl>

Arguments

Combined Models classes — CombinedModels

<dl>

<dt>models</dt>
<dd>a named list of DlvmPrior's object</dd>


<dt>alpha</dt>
<dd>Dirichlet prior parameter over the cluster proportions (default to 1)</dd>

</dl>

CombinedModels: Combined Models classes

Description

Usage

Value

Arguments

Details

See Also

Examples