Related references
Note: Only part of the references are listed.Hierarchical clustering with discrete latent variable models and the integrated classification likelihood
Etienne Come et al.
ADVANCES IN DATA ANALYSIS AND CLASSIFICATION (2021)
The dynamic random subgraph model for the clustering of evolving networks
Rawya Zreik et al.
COMPUTATIONAL STATISTICS (2017)
Variational Inference: A Review for Statisticians
David M. Blei et al.
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION (2017)
Efficient method for estimating the number of communities in a network
Maria A. Riolo et al.
PHYSICAL REVIEW E (2017)
Inferring structure in bipartite networks using the latent blockmodel and exact ICL
Jason Wyse et al.
NETWORK SCIENCE (2017)
Exact ICL maximization in a non-stationary temporal extension of the stochastic block model for dynamic networks
Marco Corneli et al.
NEUROCOMPUTING (2016)
Estimating the Number of Communities in a Network
M. E. J. Newman et al.
PHYSICAL REVIEW LETTERS (2016)
Model selection and clustering in stochastic block models based on the exact integrated complete data likelihood
Etienne Come et al.
STATISTICAL MODELLING (2015)
Choosing the number of clusters in a finite mixture model using an exact integrated completed likelihood criterion
Marco Bertoletti et al.
METRON-INTERNATIONAL JOURNAL OF STATISTICS (2015)
RcppArmadillo: Accelerating R with high-performance C plus plus linear algebra
Dirk Eddelbuettel et al.
COMPUTATIONAL STATISTICS & DATA ANALYSIS (2014)
Oriented and degree-generated block models: generating and inferring communities with inhomogeneous degree distributions
Yaojia Zhu et al.
JOURNAL OF COMPLEX NETWORKS (2014)
Using evolutionary algorithms for model-based clustering
Jeffrey L. Andrews et al.
PATTERN RECOGNITION LETTERS (2013)
CONSISTENCY OF COMMUNITY DETECTION IN NETWORKS UNDER DEGREE-CORRECTED STOCHASTIC BLOCK MODELS
Yunpeng Zhao et al.
ANNALS OF STATISTICS (2012)
Stochastic blockmodels and community structure in networks
Brian Karrer et al.
PHYSICAL REVIEW E (2011)
UNCOVERING LATENT STRUCTURE IN VALUED GRAPHS: A VARIATIONAL APPROACH
Mahendra Mariadassou et al.
ANNALS OF APPLIED STATISTICS (2010)
Latent Block Model for Contingency Table
Gerard Govaert et al.
COMMUNICATIONS IN STATISTICS-THEORY AND METHODS (2010)
Combining Mixture Components for Clustering
Jean-Patrick Baudry et al.
JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS (2010)
Exact and Monte Carlo calculations of integrated likelihoods for the latent class model
C. Biernacki et al.
JOURNAL OF STATISTICAL PLANNING AND INFERENCE (2010)
A Survey of Evolutionary Algorithms for Clustering
Eduardo Raul Hruschka et al.
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND REVIEWS (2009)
A mixture model for random graphs
J. -J. Daudin et al.
STATISTICS AND COMPUTING (2008)
Finding and evaluating community structure in networks
MEJ Newman et al.
PHYSICAL REVIEW E (2004)
Community structure in jazz
PM Gleiser et al.
ADVANCES IN COMPLEX SYSTEMS (2003)
Estimation and prediction for stochastic blockstructures
K Nowicki et al.
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION (2001)
Assessing a mixture model for clustering with the integrated completed likelihood
C Biernacki et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2000)
Share Paper
