Michael Fop

11 papers Journal 11
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Dirichlet stochastic block model for composition-weighted networks.
Comput. Stat. Data Anal.
Iuliia Promskaia, Adrian O'Hagan, Michael Fop
2025 J jnl
A consensus-constrained parsimonious Gaussian mixture model for clustering hyperspectral images.
Adv. Data Anal. Classif.
Ganesh Babu, Aoife Gowen, Michael Fop, Isobel Claire Gormley
2025 J jnl
A density-based framework for community detection in attributed networks.
CoRR
Sara Geremia, Michael Fop, Domenico De Stefano
2025 J jnl
Model-based clustering for network data via a latent shrinkage position cluster model.
Netw. Sci.
Xian Yao Gwee, Isobel Claire Gormley, Michael Fop
2025 J jnl
Sparse Model-Based Clustering of Three-Way Data via Lasso-Type Penalties.
J. Comput. Graph. Stat.
Andrea Cappozzo, Alessandro Casa, Michael Fop
2024 J jnl
A consensus-constrained parsimonious Gaussian mixture model for clustering hyperspectral images.
CoRR
Ganesh Babu, Aoife Gowen, Michael Fop, Isobel Claire Gormley
2022 J jnl
Group-Wise Shrinkage Estimation in Penalized Model-Based Clustering.
J. Classif.
Alessandro Casa, Andrea Cappozzo, Michael Fop
2022 J jnl
Unobserved classes and extra variables in high-dimensional discriminant analysis.
Adv. Data Anal. Classif.
Michael Fop, Pierre-Alexandre Mattei, Charles Bouveyron, Thomas Brendan Murphy
2020 J jnl
A stochastic block model for interaction lengths.
Adv. Data Anal. Classif.
Riccardo Rastelli, Michael Fop
2019 J jnl
Model-based clustering with sparse covariance matrices.
Stat. Comput.
Michael Fop, Thomas Brendan Murphy, Luca Scrucca
2016 J jnl
mclust 5: Clustering, Classification and Density Estimation Using Gaussian Finite Mixture Models.
R J.
Luca Scrucca, Michael Fop, Thomas Brendan Murphy, Adrian E. Raftery