A Survey on Model-Based Co-Clustering: High Dimension and Estimation Challenges

Co-clustering of evolving count matrices with the dynamic latent block model: application to pharmacovigilance

(2022) Giulia Marchello et al.   STATISTICS AND COMPUTING

Co-clustering of multivariate functional data for the analysis of air pollution in the South of France

(2022) Charles Bouveyron et al.   Annals of Applied Statistics

Parameter-wise co-clustering for high-dimensional data

(2022) M. P. B. Gallaugher et al.   COMPUTATIONAL STATISTICS

Concurrent brain parcellation and connectivity estimation via co‐clustering of resting state fMRI data: A novel approach

(2021) Hewei Cheng et al.   HUMAN BRAIN MAPPING

TensorClus: A python library for tensor (Co)-clustering

(2021) Rafika Boutalbi et al.   NEUROCOMPUTING

Learning from missing data with the binary latent block model

(2021) Gabriel Frisch et al.   STATISTICS AND COMPUTING

Tree-Based Co-Clustering Identifies Chromatin Accessibility Patterns Associated With Hematopoietic Lineage Structure

(2021) Thomas B. George et al.   Frontiers in Genetics

Co-Clustering of Ordinal Data via Latent Continuous Random Variables and Not Missing at Random Entries

(2020) Marco Corneli et al.   JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS

Textual data summarization using the Self-Organized Co-Clustering model

(2020) Margot Selosse et al.   PATTERN RECOGNITION

Generalized Co-clustering Analysis via Regularized Alternating Least Squares

(2020) Gen Li   COMPUTATIONAL STATISTICS & DATA ANALYSIS

The latent topic block model for the co-clustering of textual interaction data

(2019) Laurent R. Bergé et al.   COMPUTATIONAL STATISTICS & DATA ANALYSIS

Assessing joint spatial autocorrelations between mortality rates due to cardiovascular conditions in South Africa

(2019) Timotheus B. Darikwa et al.   Geospatial Health

Auto-weighted multi-view co-clustering with bipartite graphs

(2019) Shudong Huang et al.   INFORMATION SCIENCES

Model-based co-clustering for mixed type data

(2019) Margot Selosse et al.   COMPUTATIONAL STATISTICS & DATA ANALYSIS

Model-based co-clustering for ordinal data

(2018) Julien Jacques et al.   COMPUTATIONAL STATISTICS & DATA ANALYSIS

Robust Co-clustering to Discover Toxicogenomic Biomarkers and Their Regulatory Doses of Chemical Compounds Using Logistic Probabilistic Hidden Variable Model

(2018) Mohammad Nazmol Hasan et al.   Frontiers in Genetics

Joint Tumor Segmentation in PET-CT Images Using Co-Clustering and Fusion Based on Belief Functions

(2018) Chunfeng Lian et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

Motion Segmentation & Multiple Object Tracking by Correlation Co-Clustering

(2018) Margret Keuper et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Model-based clustering for spatiotemporal data on air quality monitoring

(2017) A. S. M. Cheam et al.   ENVIRONMETRICS

Sparse Poisson Latent Block Model for Document Clustering

(2017) Melissa Ailem et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Subspace Weighting Co-Clustering of Gene Expression Data

(2017) Xiaojun Chen et al.   IEEE-ACM Transactions on Computational Biology and Bioinformatics

Multiple co-clustering based on nonparametric mixture models with heterogeneous marginal distributions

(2017) Tomoki Tokuda et al.   PLoS One

Model-Based Clustering

(2016) Paul D. McNicholas   JOURNAL OF CLASSIFICATION

Hard and fuzzy diagonal co-clustering for document-term partitioning

(2016) Charlotte Laclau et al.   NEUROCOMPUTING

Variable selection for model-based clustering using the integrated complete-data likelihood

(2016) Matthieu Marbac et al.   STATISTICS AND COMPUTING

The discriminative functional mixture model for a comparative analysis of bike sharing systems

(2015) Charles Bouveyron et al.   Annals of Applied Statistics

Convergence of the groups posterior distribution in latent or stochastic block models

(2015) Mahendra Mariadassou et al.   BERNOULLI

Model-based clustering of multivariate ordinal data relying on a stochastic binary search algorithm

(2015) Christophe Biernacki et al.   STATISTICS AND COMPUTING

Estimation and selection for the latent block model on categorical data

(2014) Christine Keribin et al.   STATISTICS AND COMPUTING

Model-based clustering based on sparse finite Gaussian mixtures

(2014) Gertraud Malsiner-Walli et al.   STATISTICS AND COMPUTING

Model-Based Count Series Clustering for Bike Sharing System Usage Mining: A Case Study with the Vélib’ System of Paris

(2014) Côme Etienne et al.   ACM Transactions on Intelligent Systems and Technology

Asymptotic normality of maximum likelihood and its variational approximation for stochastic blockmodels

(2013) Peter Bickel et al.   ANNALS OF STATISTICS

Funclust: A curves clustering method using functional random variables density approximation

(2013) Julien Jacques et al.   NEUROCOMPUTING

Model-based clustering of high-dimensional data: A review

(2012) Charles Bouveyron et al.   COMPUTATIONAL STATISTICS & DATA ANALYSIS

Consistency of maximum-likelihood and variational estimators in the stochastic block model

(2012) Alain Celisse et al.   Electronic Journal of Statistics

Spectral clustering and the high-dimensional stochastic blockmodel

(2011) Karl Rohe et al.   ANNALS OF STATISTICS

New consistent and asymptotically normal parameter estimates for random-graph mixture models

(2011) Christophe Ambroise et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY

Block clustering with collapsed latent block models

(2011) Jason Wyse et al.   STATISTICS AND COMPUTING

Model-based clustering of time series in group-specific functional subspaces

(2011) Charles Bouveyron et al.   Advances in Data Analysis and Classification

Defining probability density for a distribution of random functions

(2010) Aurore Delaigle et al.   ANNALS OF STATISTICS

Exact and Monte Carlo calculations of integrated likelihoods for the latent class model

(2010) C. Biernacki et al.   JOURNAL OF STATISTICAL PLANNING AND INFERENCE

Variable selection in model-based clustering: A general variable role modeling

(2009) C. Maugis et al.   COMPUTATIONAL STATISTICS & DATA ANALYSIS

Coclustering of Human Cancer Microarrays Using Minimum Sum-Squared Residue Coclustering

(2008) Hyuk Cho et al.   IEEE-ACM Transactions on Computational Biology and Bioinformatics

Block clustering with Bernoulli mixture models: Comparison of different approaches

(2007) Gérard Govaert et al.   COMPUTATIONAL STATISTICS & DATA ANALYSIS