Clustering Matrix : One hot encoding

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

CEM function

<dl><dt>Z</dt>
<dd>a matrix N x K, with probabilities to belong of a cluster in rows for each observation.</dd></dl>

Arguments

Clustering Matrix : One hot encoding — CEM

<dl>

<dt>Z</dt>
<dd>a matrix N x K, with probabilities to belong of a cluster in rows for each observation.</dd>

</dl>

CEM: Clustering Matrix : One hot encoding

Description

Usage

Value

Arguments

Examples