Consensus clustering

Clustering is the assignment of objects into groups (called clusters) so that objects from the same cluster are more similar to each other than… (More)
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Binarization of consensus partition matricesBioinformaticsData miningEnsemble learning
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Broader (1)

Cluster analysis

Papers overview

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Highly Cited
2015
Highly Cited
2015
K-Means-Based Consensus Clustering: A Unified View
The objective of consensus clustering is to find a single partitioning which agrees as much as possible with existing basic… (More)
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2013
2013
Probabilistic consensus clustering using evidence accumulation
Clustering ensemble methods produce a consensus partition of a set of data points by combining the results of a collection of… (More)
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Highly Cited
2008
Highly Cited
2008
Consensus Clustering Algorithms: Comparison and Refinement
Consensus clustering is the problem of reconciling clustering information about the same data set coming from different sources… (More)
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Highly Cited
2008
Highly Cited
2008
Weighted Consensus Clustering
Consensus clustering has emerged as an important extension of the classical clustering problem. We propose weighted consensus… (More)
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Highly Cited
2007
Highly Cited
2007
Consensus Clusterings
In this paper we address the problem of combining multiple clusterings without access to the underlying features of the data… (More)
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Highly Cited
2007
Highly Cited
2007
Solving Consensus and Semi-supervised Clustering Problems Using Nonnegative Matrix Factorization
Consensus clustering and semi-supervised clustering are important extensions of the standard clustering paradigm. Consensus… (More)
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Highly Cited
2005
Highly Cited
2005
Clustering ensembles: models of consensus and weak partitions
Clustering ensembles have emerged as a powerful method for improving both the robustness as well as the stability of unsupervised… (More)
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Highly Cited
2003
Highly Cited
2003
Consensus Clustering: A Resampling-Based Method for Class Discovery and Visualization of Gene Expression Microarray Data
In this paper we present a new methodology of class discovery and clustering validation tailored to the task of analyzing gene… (More)
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Highly Cited
2003
Highly Cited
2003
Consensus clustering and functional interpretation of gene-expression data
Microarray analysis using clustering algorithms can suffer from lack of inter-method consistency in assigning related gene… (More)
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Highly Cited
2002
Highly Cited
2002
Cluster Ensembles --- A Knowledge Reuse Framework for Combining Multiple Partitions
This paper introduces the problem of combining multiple partitionings of a set of objects into a single consolidated clustering… (More)
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