Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Riverain, Paul"'
Publikováno v:
Machine Learning
Machine Learning, In press, ⟨10.1007/s10994-022-06137-4⟩
Machine Learning, In press, ⟨10.1007/s10994-022-06137-4⟩
International audience; Co-clustering aims at simultaneously partitioning both dimensions of a data matrix. It has demonstrated better performances than one-sided clustering for high-dimensional data. The Latent Block Model (LBM) is a probabilistic m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::73f335178f1796c4cfaea3f08fe33a66
https://doi.org/10.1007/s10994-022-06137-4
https://doi.org/10.1007/s10994-022-06137-4
Publikováno v:
Advances in Data Analysis and Classification
Advances in Data Analysis and Classification, In press, ⟨10.1007/s11634-022-00492-9⟩
Advances in Data Analysis and Classification, In press, ⟨10.1007/s11634-022-00492-9⟩
International audience; Stochastic Block Model (SBM) provides a statistical tool for modeling and clustering network data. In this paper, we propose an extension of this model for discrete-time dynamic networks that takes into account the variability
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c46c06d8bb5d3753879aedc3cbe3bff7
https://doi.org/10.1007/s11634-022-00492-9
https://doi.org/10.1007/s11634-022-00492-9
Publikováno v:
Advances in Data Analysis & Classification; Mar2023, Vol. 17 Issue 1, p135-162, 28p