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Biclustering

Known as: Two-mode clustering, Coclustering, Co-clustering 
Biclustering, block clustering, co-clustering, or two-mode clustering is a data mining technique which allows simultaneous clustering of the rows and… 
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Related topics

Related topics

16 relations
AlgorithmBioinformaticsClique (graph theory)Clustering high-dimensional data

Broader (1)

Cluster analysis

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2020
2020
Conditional Latent Block Model: a Multivariate Time Series Clustering Approach for Autonomous Driving Validation
Autonomous driving systems validation remains one of the biggest challenges car manufacturers must tackle in order to provide… 
2015
2015
Bezdek-Type Fuzzified Co-Clustering Algorithm
2015
2015
Co-Clustering based Dual Prediction for Cargo Pricing Optimization
This paper targets the problem of cargo pricing optimization in the air cargo business. Given the features associated with a pair… 
2014
2014
Grid-Based Fuzzy Processing for Parallel Learning the Document Similarities
Document co-clustering methods allow to efficiently capture high-order similarities between objects described by rows and columns… 
2014
2014
Fuzzy Co-Clustering Algorithms Based on Fuzzy Relational Clustering and TIBA Imputation
2009
2009
Co-Clustering with Generative Models
In this paper, we present a generative model for co-clustering and develop algorithms based on the mean field approximation for… 
2008
2008
Cross-domain Text Classification using Wikipedia
Traditional approaches to document classification requires labeled data in order to construct reliable and accurate classifiers… 
2008
2008
A matrix-based approach for semi-supervised document co-clustering
In order to derive high quality information from text, the field of text mining has advanced swiftly from simple document… 
2008
2008
Author-topic evolution analysis using three-way non-negative Paratucker
Analyzing three-way data has attracted a lot of attention recently due to the intrinsic rich structures in real-world datasets… 
2006
2006
Model-based Overlapping Co-Clustering
Co-clustering or simultaneous clustering of rows and colum ns of two-dimensional data matrices, is a data mining technique w ith…