Clustering based on random graph model embedding vertex features

Maximum Likelihood from Incomplete Data Via the <i>EM</i> Algorithm

A. P. Dempster, N. M. Laird, Donald B. Rubin · Journal of the Royal Statistical Society Series B (Statistical Methodology) · 1977 · 49.7K citations

Public Health, Biostatistics, Bayesian Data Analysis +16

Comparing partitions

Lawrence J. Hubert, Phipps Arabie · Journal of Classification · 1985 · 7.7K citations

An Introduction to Variational Methods for Graphical Models

Michael I. Jordan, Zoubin Ghahramani, Tommi Jaakkola et al. · Machine Learning · 1999 · 3.8K citations · Full text

Natural Sciences, Mathematics, Statistical Modeling +12

Structural equivalence of individuals in social networks

François Lorrain, Harrison C. White · Journal of Mathematical Sociology · 1971 · 1.7K citations

Natural Sciences, Mathematics, Sociology +17

Assessing a mixture model for clustering with the integrated completed likelihood

Christophe Biernacki, Gilles Celeux, G. Govaert · IEEE Transactions on Pattern Analysis and Machine Intelligence · 2000 · 1.5K citations

Public Health, Biostatistics, Bayesian Data Analysis +14