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Co-clustering: A Survey of the Main Methods, Recent Trends, and Open Problems

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/9781118649480openalex-snapshot

Co‐Clustering

inferredcites →https://doi.org/10.1002/widm.1057openalex-snapshot

Subspace clustering

inferredcites →https://doi.org/10.1002/widm.1349openalex-snapshot

Surveying the reach and maturity of machine learning and artificial intelligence in astronomy

inferredcites →https://doi.org/10.1007/978-0-387-29489-6_1openalex-snapshot

Privacy and Data Mining

inferredcites →https://doi.org/10.1007/978-1-4939-7131-2openalex-snapshot

Encyclopedia of Social Network Analysis and Mining

inferredcites →https://doi.org/10.1007/978-3-642-20180-6_8openalex-snapshot

Elements of Information Theory

inferredcites →https://doi.org/10.1007/978-3-642-59471-7openalex-snapshot

Advances in Classification and Data Analysis

inferredcites →https://doi.org/10.1007/978-3-642-59471-7_6openalex-snapshot

Double k-means Clustering for Simultaneous Classification of Objects and Variables

inferredcites →https://doi.org/10.1007/bf01908075openalex-snapshot

Comparing partitions

inferredcites →https://doi.org/10.1007/bf02289464openalex-snapshot

Some Mathematical Notes on Three-Mode Factor Analysis

inferredcites →https://doi.org/10.1007/s00357-020-09379-wopenalex-snapshot

Comparing High-Dimensional Partitions with the Co-clustering Adjusted Rand Index

inferredcites →https://doi.org/10.1007/s00357-023-09441-3openalex-snapshot

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

inferredcites →https://doi.org/10.1007/s10115-011-0460-yopenalex-snapshot

Non-negative Tri-factor tensor decomposition with applications

inferredcites →https://doi.org/10.1007/s10462-019-09736-1openalex-snapshot

Spatiotemporal clustering: a review

inferredcites →https://doi.org/10.1007/s10462-020-09874-xopenalex-snapshot

Data stream clustering: a review

inferredcites →https://doi.org/10.1007/s10462-020-09918-2openalex-snapshot

A survey on parallel clustering algorithms for Big Data

inferredcites →https://doi.org/10.1007/s10489-021-02405-3openalex-snapshot

Weighted multi-view co-clustering (WMVCC) for sparse data

inferredcites →https://doi.org/10.1007/s10618-012-0248-zopenalex-snapshot

Parameter-less co-clustering for star-structured heterogeneous data

inferredcites →https://doi.org/10.1007/s10618-012-0258-xopenalex-snapshot

A survey on enhanced subspace clustering

inferredcites →https://doi.org/10.1007/s10618-012-0284-8openalex-snapshot

Closed and noise-tolerant patterns in n-ary relations

inferredcites →https://doi.org/10.1007/s10618-012-0292-8openalex-snapshot

Hierarchical co-clustering: off-line and incremental approaches

inferredcites →https://doi.org/10.1007/s10618-013-0341-yopenalex-snapshot

Link prediction in heterogeneous data via generalized coupled tensor factorization

inferredcites →https://doi.org/10.1007/s10618-021-00788-yopenalex-snapshot

Implicit consensus clustering from multiple graphs

inferredcites →https://doi.org/10.1007/s10915-021-01489-wopenalex-snapshot

Orthogonal Dual Graph-Regularized Nonnegative Matrix Factorization for Co-Clustering

inferredcites →https://doi.org/10.1007/s10994-021-06002-wopenalex-snapshot

A parameter-less algorithm for tensor co-clustering

inferredcites →https://doi.org/10.1007/s10994-022-06137-4openalex-snapshot

Semi-supervised Latent Block Model with pairwise constraints

inferredcites →https://doi.org/10.1007/s10994-023-06474-yopenalex-snapshot

Fast parameterless prototype-based co-clustering

inferredcites →https://doi.org/10.1007/s11222-007-9033-zopenalex-snapshot

A tutorial on spectral clustering

inferredcites →https://doi.org/10.1007/s11222-014-9472-2openalex-snapshot

Estimation and selection for the latent block model on categorical data

inferredcites →https://doi.org/10.1007/s11222-016-9677-7openalex-snapshot

Diagonal latent block model for binary data

inferredcites →https://doi.org/10.1007/s11222-021-10006-wopenalex-snapshot

Regularized bi-directional co-clustering

inferredcites →https://doi.org/10.1007/s11390-015-1585-3openalex-snapshot

Anomaly Detection in Microblogging via Co-Clustering

inferredcites →https://doi.org/10.1007/s11634-016-0274-6openalex-snapshot

Mutual information, phi-squared and model-based co-clustering for contingency tables

inferredcites →https://doi.org/10.1007/s11634-018-0323-4openalex-snapshot

Directional co-clustering

inferredcites →https://doi.org/10.1007/s11634-022-00492-9openalex-snapshot

Poisson degree corrected dynamic stochastic block model

inferredcites →https://doi.org/10.1007/s13042-012-0077-9openalex-snapshot

Spectral co-clustering documents and words using fuzzy K-harmonic means

inferredcites →https://doi.org/10.1016/j.cosrev.2021.100435openalex-snapshot

Beyond linear subspace clustering: A comparative study of nonlinear manifold clustering algorithms

inferredcites →https://doi.org/10.1016/j.csda.2007.06.025openalex-snapshot

Two-mode multi-partitioning

inferredcites →https://doi.org/10.1016/j.csda.2007.09.007openalex-snapshot

Block clustering with Bernoulli mixture models: Comparison of different approaches

inferredcites →https://doi.org/10.1016/j.csda.2018.01.014openalex-snapshot

Model-based co-clustering for ordinal data

inferredcites →https://doi.org/10.1016/j.csda.2019.106866openalex-snapshot

Model-based co-clustering for mixed type data

inferredcites →https://doi.org/10.1016/j.engappai.2022.104989openalex-snapshot

Semi-supervised sparse neighbor constrained co-clustering with dissimilarity and similarity regularization

inferredcites →https://doi.org/10.1016/j.eswa.2019.113078openalex-snapshot

Improving performances of Top-N recommendations with co-clustering method

inferredcites →https://doi.org/10.1016/j.inffus.2018.11.019openalex-snapshot

Feature selection with multi-view data: A survey

inferredcites →https://doi.org/10.1016/j.ins.2014.12.058openalex-snapshot

Non-negative Matrix Tri-Factorization for co-clustering: An analysis of the block matrix

inferredcites →https://doi.org/10.1016/j.ins.2018.03.019openalex-snapshot

Multi-Sided recommendation based on social tensor factorization

inferredcites →https://doi.org/10.1016/j.ins.2019.09.079openalex-snapshot

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

inferredcites →https://doi.org/10.1016/j.ins.2022.11.139openalex-snapshot

K-means clustering algorithms: A comprehensive review, variants analysis, and advances in the era of big data

inferredcites →https://doi.org/10.1016/j.ins.2023.02.088openalex-snapshot

A review on semi-supervised clustering

inferredcites →https://doi.org/10.1016/j.ipm.2009.12.007openalex-snapshot

Orthogonal nonnegative matrix tri-factorization for co-clustering: Multiplicative updates on Stiefel manifolds

inferredcites →https://doi.org/10.1016/j.is.2015.04.007openalex-snapshot

Time-series clustering – A decade review

inferredcites →https://doi.org/10.1016/j.jbi.2015.06.028openalex-snapshot

Biclustering on expression data: A review

inferredcites →https://doi.org/10.1016/j.knosys.2013.05.006openalex-snapshot

Preference-based clustering reviews for augmenting e-commerce recommendation

inferredcites →https://doi.org/10.1016/j.knosys.2015.03.027openalex-snapshot

Spectral co-clustering ensemble

inferredcites →https://doi.org/10.1016/j.knosys.2016.07.002openalex-snapshot

Graph modularity maximization as an effective method for co-clustering text data

inferredcites →https://doi.org/10.1016/j.knosys.2021.107101openalex-snapshot

Tri-regularized nonnegative matrix tri-factorization for co-clustering

inferredcites →https://doi.org/10.1016/j.neucom.2018.02.055openalex-snapshot

Model-based co-clustering for functional data

inferredcites →https://doi.org/10.1016/j.neucom.2020.02.104openalex-snapshot

An overview of recent multi-view clustering

inferredcites →https://doi.org/10.1016/j.neucom.2021.03.090openalex-snapshot

Deep multi-view learning methods: A review

inferredcites →https://doi.org/10.1016/j.neucom.2021.08.014openalex-snapshot

Joint nonnegative matrix factorization and network embedding for graph co-clustering

inferredcites →https://doi.org/10.1016/j.neucom.2021.09.036openalex-snapshot

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

inferredcites →https://doi.org/10.1016/j.patcog.2005.01.025openalex-snapshot

Clustering of time series data—a survey

inferredcites →https://doi.org/10.1016/j.patcog.2007.05.018openalex-snapshot

A survey of kernel and spectral methods for clustering

inferredcites →https://doi.org/10.1016/j.patcog.2016.11.027openalex-snapshot

Multi-manifold matrix decomposition for data co-clustering

inferredcites →https://doi.org/10.1016/j.patcog.2017.06.005openalex-snapshot

Model-based co-clustering for the effective handling of sparse data

inferredcites →https://doi.org/10.1016/j.patcog.2017.12.005openalex-snapshot

Feature co-shrinking for co-clustering

inferredcites →https://doi.org/10.1016/j.patcog.2020.107207openalex-snapshot

Auto-weighted multi-view co-clustering via fast matrix factorization

inferredcites →https://doi.org/10.1016/j.patcog.2022.108612openalex-snapshot

Impact of metrics on biclustering solution and quality: A review

inferredcites →https://doi.org/10.1016/s0031-3203(02)00074-2openalex-snapshot

Clustering with block mixture models

inferredcites →https://doi.org/10.1023/b:mach.0000033116.57574.95openalex-snapshot

Correlation Clustering

inferredcites →https://doi.org/10.1037//0022-0167.34.4.456openalex-snapshot

Applying cluster analysis in counseling psychology research.

inferredcites →https://doi.org/10.1080/00401706.1990.10484648openalex-snapshot

Algorithms for Clustering Data

inferredcites →https://doi.org/10.1080/01621459.1972.10481214openalex-snapshot

Direct Clustering of a Data Matrix

inferredcites →https://doi.org/10.1080/03610920903140197openalex-snapshot

Latent Block Model for Contingency Table

inferredcites →https://doi.org/10.1080/10618600.2020.1739533openalex-snapshot

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

inferredcites →https://doi.org/10.1080/14786440009463897openalex-snapshot

X. On the criterion that a given system of deviations from the probable in the case of a correlated system of variables is such that it can be reasonably supposed to have arisen from random sampling

inferredcites →https://doi.org/10.1093/bib/bbk007openalex-snapshot

Machine learning in bioinformatics

inferredcites →https://doi.org/10.1093/bib/bby014openalex-snapshot

It is time to apply biclustering: a comprehensive review of biclustering applications in biological and biomedical data

inferredcites →https://doi.org/10.1101/gr.648603openalex-snapshot

Spectral Biclustering of Microarray Data: Coclustering Genes and Conditions

inferredcites →https://doi.org/10.1103/physreve.69.026113openalex-snapshot

Finding and evaluating community structure in networks

inferredcites →https://doi.org/10.1109/3477.809032openalex-snapshot

A survey of fuzzy clustering algorithms for pattern recognition. I

inferredcites →https://doi.org/10.1109/3477.809033openalex-snapshot

A survey of fuzzy clustering algorithms for pattern recognition. II

inferredcites →https://doi.org/10.1109/access.2019.2894267openalex-snapshot

Coupled Tensor Decomposition for User Clustering in Mobile Internet Traffic Interaction Pattern

inferredcites →https://doi.org/10.1109/access.2019.2904314openalex-snapshot

An Overview of Co-Clustering via Matrix Factorization

inferredcites →https://doi.org/10.1109/icdm.2014.17openalex-snapshot

Co-Clustering Structural Temporal Data with Applications to Semiconductor Manufacturing

inferredcites →https://doi.org/10.1109/msp.2010.939739openalex-snapshot

Subspace Clustering

inferredcites →https://doi.org/10.1109/sfcs.2002.1181947openalex-snapshot

Correlation clustering

inferredcites →https://doi.org/10.1109/tai.2021.3065894openalex-snapshot

A Survey on Multiview Clustering

inferredcites →https://doi.org/10.1109/tcbb.2004.2openalex-snapshot

Biclustering algorithms for biological data analysis: a survey

inferredcites →https://doi.org/10.1109/tcyb.2019.2950568openalex-snapshot

Discovering Multiple Co-Clusterings With Matrix Factorization

inferredcites →https://doi.org/10.1109/tfuzz.2021.3105193openalex-snapshot

Federated FCM: Clustering Under Privacy Requirements

inferredcites →https://doi.org/10.1109/tkde.2012.51openalex-snapshot

Nonnegative Matrix Factorization: A Comprehensive Review

inferredcites →https://doi.org/10.1109/tkde.2017.2681669openalex-snapshot

Sparse Poisson Latent Block Model for Document Clustering

inferredcites →https://doi.org/10.1109/tkde.2019.2942029openalex-snapshot

Co-clustering Ensembles based on Multiple Relevance Measures

inferredcites →https://doi.org/10.1109/tkde.2022.3145489openalex-snapshot

Parallel Non-negative Matrix Tri-Factorization for Text Data Co-clustering

inferredcites →https://doi.org/10.1109/tkde.2022.3194275openalex-snapshot

Fast Flexible Bipartite Graph Model for Co-Clustering

inferredcites →https://doi.org/10.1109/tkde.2023.3300814openalex-snapshot

Boosting Subspace Co-Clustering via Bilateral Graph Convolution

inferredcites →https://doi.org/10.1109/tmm.2008.921739openalex-snapshot

Co-clustering for Auditory Scene Categorization

inferredcites →https://doi.org/10.1109/tnn.2005.845141openalex-snapshot

Survey of Clustering Algorithms

inferredcites →https://doi.org/10.1109/tpami.2018.2876253openalex-snapshot

Motion Segmentation & Multiple Object Tracking by Correlation Co-Clustering

inferredcites →https://doi.org/10.1109/tsmcb.2012.2234108openalex-snapshot

Relational Multimanifold Coclustering

inferredcites →https://doi.org/10.1109/tsmcc.2008.2007252openalex-snapshot

A Survey of Evolutionary Algorithms for Clustering

inferredcites →https://doi.org/10.1109/tsp.2012.2225052openalex-snapshot

From $K$-Means to Higher-Way Co-Clustering: Multilinear Decomposition With Sparse Latent Factors

inferredcites →https://doi.org/10.1109/tsp.2021.3101979openalex-snapshot

Differentiable Bi-Sparse Multi-View Co-Clustering

inferredcites →https://doi.org/10.1109/tsp.2022.3151505openalex-snapshot

Federated Matrix Factorization: Algorithm Design and Application to Data Clustering

inferredcites →https://doi.org/10.1137/07070111xopenalex-snapshot

Tensor Decompositions and Applications

inferredcites →https://doi.org/10.1137/s0895479899352045openalex-snapshot

Rank-One Approximation to High Order Tensors

inferredcites →https://doi.org/10.1145/1007730.1007731openalex-snapshot

Subspace clustering for high dimensional data

inferredcites →https://doi.org/10.1145/1250790openalex-snapshot

Proceedings of the thirty-ninth annual ACM symposium on Theory of computing

inferredcites →https://doi.org/10.1145/1250790.1250803openalex-snapshot

Smooth sensitivity and sampling in private data analysis

inferredcites →https://doi.org/10.1145/1497577.1497580openalex-snapshot

Closed patterns meet n -ary relations

inferredcites →https://doi.org/10.1145/1557019openalex-snapshot

Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining

inferredcites →https://doi.org/10.1145/2740908.2743004openalex-snapshot

Understanding Multilingual Social Networks in Online Immigrant Communities

inferredcites →https://doi.org/10.1145/2875427openalex-snapshot

Co-Clustering Structural Temporal Data with Applications to Semiconductor Manufacturing

inferredcites →https://doi.org/10.1145/3132088openalex-snapshot

Systematic Review of Clustering High-Dimensional and Large Datasets

inferredcites →https://doi.org/10.1145/3133201openalex-snapshot

Differentially Private K-Means Clustering and a Hybrid Approach to Private Optimization

inferredcites →https://doi.org/10.1145/331499.331504openalex-snapshot

Data clustering

inferredcites →https://doi.org/10.1145/3340531.3412058openalex-snapshot

Ensemble Block Co-clustering: A Unified Framework for Text Data

inferredcites →https://doi.org/10.1145/3340960openalex-snapshot

Interactive Clustering

inferredcites →https://doi.org/10.1145/3627823openalex-snapshot

T-Distributed Stochastic Neighbor Embedding for Co-Representation Learning

inferredcites →https://doi.org/10.1371/journal.pcbi.1009064openalex-snapshot

coupleCoC+: An information-theoretic co-clustering-based transfer learning framework for the integrative analysis of single-cell genomic data

inferredcites →https://doi.org/10.14778/3503585.3503598openalex-snapshot

Federated matrix factorization with privacy guarantee

inferredcites →https://doi.org/10.14778/3583140.3583146openalex-snapshot

Differentially Private Vertical Federated Clustering

inferredcites →https://doi.org/10.1561/2200000083openalex-snapshot

Advances and Open Problems in Federated Learning

inferredcites →https://doi.org/10.1561/9781601988195openalex-snapshot

The Algorithmic Foundations of Differential Privacy

inferredcites →https://doi.org/10.48550/arxiv.1803.06518openalex-snapshot

Provable Convex Co-clustering of Tensors

inferredcites →https://doi.org/10.48550/arxiv.2011.11819openalex-snapshot

When Machine Learning Meets Privacy: A Survey and Outlook

inferredcites →https://doi.org/10.5753/jidm.2010.940openalex-snapshot

Privacy Preserving Clustering by Data Transformation

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/978-3-032-05962-8_17openalex-snapshot

Fair Associative Co-clustering

inferred← citeshttps://doi.org/10.1007/s10618-026-01211-0openalex-snapshot

Differentiable parameter-less co-clustering using graph neural networks

inferred← citeshttps://doi.org/10.1007/s13042-025-02874-9openalex-snapshot

Semantic encoder-decoder nonnegative matrix factorization with kullback-leibler divergence

inferred← citeshttps://doi.org/10.1016/j.asoc.2025.113437openalex-snapshot

Distributed multi-objective genetic model for parallel co-clustering ensemble

inferred← citeshttps://doi.org/10.1016/j.ins.2025.122427openalex-snapshot

Effective feature-sample co-clustering by adaptive feature-sample co-weighting

inferred← citeshttps://doi.org/10.1038/s41598-026-42498-9openalex-snapshot

Self-supervised non-dominated sorted model for co-clustering

inferred← citeshttps://doi.org/10.1109/icici68867.2026.11565045openalex-snapshot

An Intelligent News API for Article Clustering and Emotion Sentiment Analysis

inferred← citeshttps://doi.org/10.1109/lsp.2026.3709729openalex-snapshot

Adaptive Feature-Weighted Co-Clustering With Local Coordinate Coding

inferred← citeshttps://doi.org/10.21203/rs.3.rs-9268901/v1openalex-snapshot

Co-FDSH: Fuzzy Deep Semantic SpectralHypergraph Learning for Text Co-clustering

inferred← citeshttps://doi.org/10.2139/ssrn.7391499openalex-snapshot

Benchmarking Clustering and Co-Clustering Methods for Return-Behavior Segmentation in UK E-Commerce: A Behavioral Reverse Logistics Perspective

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