A cluster-based approach to thesaurus construction
SIGIR '88 Proceedings of the 11th annual international ACM SIGIR conference on Research and development in information retrieval
Optimal partitions having disjoint convex and conic hulls
Mathematical Programming: Series A and B
The nature of statistical learning theory
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Logical analysis of numerical data
Mathematical Programming: Series A and B - Special issue: papers from ismp97, the 16th international symposium on mathematical programming, Lausanne EPFL
Data clustering using a model granular magnet
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An introduction to support Vector Machines: and other kernel-based learning methods
An introduction to support Vector Machines: and other kernel-based learning methods
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ACM Computing Surveys (CSUR)
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Discovering local structure in gene expression data: the order-preserving submatrix problem
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IEEE Transactions on Knowledge and Data Engineering
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Analysis of Gene Expression Microarrays for Phenotype Classification
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Latent Class Models for Collaborative Filtering
IJCAI '99 Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence
Handbook of massive data sets
Enhanced Biclustering on Expression Data
BIBE '03 Proceedings of the 3rd IEEE Symposium on BioInformatics and BioEngineering
d-Clusters: Capturing Subspace Correlation in a Large Data Set
ICDE '02 Proceedings of the 18th International Conference on Data Engineering
OP-Cluster: Clustering by Tendency in High Dimensional Space
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
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RCV1: A New Benchmark Collection for Text Categorization Research
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IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
Biclustering of Expression Data Using Simulated Annealing
CBMS '05 Proceedings of the 18th IEEE Symposium on Computer-Based Medical Systems
Linear-shaped partition problems
Operations Research Letters
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IEEE Transactions on Neural Networks
Random walk biclustering for microarray data
Information Sciences: an International Journal
A Hybrid Metaheuristic for Biclustering Based on Scatter Search and Genetic Algorithms
PRIB '09 Proceedings of the 4th IAPR International Conference on Pattern Recognition in Bioinformatics
Optimization of spatiotemporal clustering for target tracking from multisensor data
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Evolutionary metaheuristic for biclustering based on linear correlations among genes
Proceedings of the 2010 ACM Symposium on Applied Computing
Solving the Order-Preserving Submatrix Problem via Integer Programming
INFORMS Journal on Computing
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Experimental comparison of biclustering algorithms for PPI networks
Proceedings of the First ACM International Conference on Bioinformatics and Computational Biology
Business process integration: method and analysis
APCCM '09 Proceedings of the Sixth Asia-Pacific Conference on Conceptual Modeling - Volume 96
Bagging for biclustering: application to microarray data
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BARTMAP: A viable structure for biclustering
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PAKDD'11 Proceedings of the 15th Pacific-Asia conference on Advances in knowledge discovery and data mining - Volume Part I
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Pattern Recognition Letters
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Biclustering consists in simultaneous partitioning of the set of samples and the set of their attributes (features) into subsets (classes). Samples and features classified together are supposed to have a high relevance to each other. In this paper we review the most widely used and successful biclustering techniques and their related applications. This survey is written from a theoretical viewpoint emphasizing mathematical concepts that can be met in existing biclustering techniques.