Michael Fop

According to our database, Michael Fop authored at least 10 papers between 2016 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

A density-based framework for community detection in attributed networks.

Sara Geremia, Michael Fop, Domenico De Stefano

CoRR, December, 2025

A consensus-constrained parsimonious Gaussian mixture model for clustering hyperspectral images.

Ganesh Babu, Aoife Gowen, Michael Fop, Isobel Claire Gormley

Adv. Data Anal. Classif., June, 2025

Model-based clustering for network data via a latent shrinkage position cluster model.

Xian Yao Gwee, Isobel Claire Gormley, Michael Fop

Netw. Sci., 2025

Sparse Model-Based Clustering of Three-Way Data via Lasso-Type Penalties.

Andrea Cappozzo, Alessandro Casa, Michael Fop

J. Comput. Graph. Stat., 2025

A Dirichlet stochastic block model for composition-weighted networks.

Iuliia Promskaia, Adrian O'Hagan, Michael Fop

Comput. Stat. Data Anal., 2025

2022

Group-Wise Shrinkage Estimation in Penalized Model-Based Clustering.

Alessandro Casa, Andrea Cappozzo, Michael Fop

J. Classif., 2022

Unobserved classes and extra variables in high-dimensional discriminant analysis.

Michael Fop, Pierre-Alexandre Mattei, Charles Bouveyron, Thomas Brendan Murphy

Adv. Data Anal. Classif., 2022

2020

A stochastic block model for interaction lengths.

Riccardo Rastelli, Michael Fop

Adv. Data Anal. Classif., 2020

2019

Model-based clustering with sparse covariance matrices.

Michael Fop, Thomas Brendan Murphy, Luca Scrucca

Stat. Comput., 2019

2016

mclust 5: Clustering, Classification and Density Estimation Using Gaussian Finite Mixture Models.

Luca Scrucca, Michael Fop, Thomas Brendan Murphy, Adrian E. Raftery

R J., 2016