most citedConditional Latent Block Model: a Multivariate Time Series Clustering Approach for Autonomous Driving Validation

1 citations · 1 across the 2 of their papers we have counts for

collaborators
Showing stat.MLShow all

1 paper · 1 filter

stat.ML2023

Distributed Collapsed Gibbs Sampler for Dirichlet Process Mixture Models in Federated Learning

Reda Khoufache, Mustapha Lebbah, Hanene Azzag +2

Dirichlet Process Mixture Models (DPMMs) are widely used to address clustering problems. Their main advantage lies in their ability to automatically estimate the number of clusters…