Model-Based Clustering for Conditionally Correlated Categorical Data. - Matthieu Marbac; Christophe Biernacki; Vincent Vandewalle (J. Classif., 2015)

Latent class model with conditional dependency per modes to cluster categorical data. - Matthieu Marbac; Christophe Biernacki; Vincent Vandewalle (Adv. Data Anal. Classif., 2016)

A family of block-wise one-factor distributions for modeling high-dimensional binary data. - Matthieu Marbac; Mohammed Sedki (Comput. Stat. Data Anal., 2017)

Variable selection for model-based clustering using the integrated complete-data likelihood. - Matthieu Marbac; Mohammed Sedki (Stat. Comput., 2017)

VarSelLCM: an R/C++ package for variable selection in model-based clustering of mixed-data with missing values. - Matthieu Marbac; Mohammed Sedki (Bioinform., 2019)

A tractable multi-partitions clustering. - Matthieu Marbac; Vincent Vandewalle (Comput. Stat. Data Anal., 2019)

Variable Selection for Mixed Data Clustering: Application in Human Population Genomics. - Matthieu Marbac; Mohammed Sedki; Tienne Patin (J. Classif., 2020)

Gaussian-Based Visualization of Gaussian and Non-Gaussian-Based Clustering. - Christophe Biernacki; Matthieu Marbac; Vincent Vandewalle (J. Classif., 2021)

Simultaneous Semiparametric Estimation of Clustering and Regression. - Matthieu Marbac; Mohammed Sedki; Christophe Biernacki; Vincent Vandewalle (J. Comput. Graph. Stat., 2022)

Clustering data with non-ignorable missingness using semi-parametric mixture models assuming independence within components. - Marie du Roy de Chaumaray; Matthieu Marbac (Adv. Data Anal. Classif., 2023)

Model-based clustering with missing not at random data. - Aude Sportisse; Matthieu Marbac; Fabien Laporte; Gilles Celeux; Claire Boyer; Julie Josse; Christophe Biernacki (Stat. Comput., 2024)