fit_SBM_per_layer

Our approach uses a  mixture of multilayer stochastic block models to group co-membership matrices with similar information into components and to partition observations into different clusters. See De Santiago (2023, ISBN: 978-2-87587-088-9).

Kylliann De Santiago

mimiSBM

Mixture of Multilayer Integrator Stochastic Block Models

Marie Szafranski

Christophe Ambroise

fit_SBM_per_layer function

<dl><dt>A</dt>
<dd>an array of dim=c(N,N,V)</dd>
<dt>silent</dt>
<dd>Boolean for verbose</dd>
<dt>ncores</dt>
<dd>the number of cores used to parallelize the calculations of the various SBMs</dd></dl>

Arguments

SBM on each layer — fit_SBM_per_layer

<dl>

<dt>A</dt>
<dd>an array of dim=c(N,N,V)</dd>


<dt>silent</dt>
<dd>Boolean for verbose</dd>


<dt>ncores</dt>
<dd>the number of cores used to parallelize the calculations of the various SBMs</dd>

</dl>

fit_SBM_per_layer: SBM on each layer

Description

Usage

Value

Arguments