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Keyword

consensus clustering

Description: Consensus clustering is a statistical and machine-learning method that combines repeated or multiple clustering results to identify stable groups in data.
Wikidata ID: wiki/Q5162841
OpenAlex ID: keywords/consensus-clustering
Data clustering: 50 years beyond K-means
2009 · Anil K. Jain · Pattern Recognition Letters · 9,464
ConsensusClusterPlus: a class discovery tool with confidence assessments and item tracking
2010 · Matthew D. Wilkerson, D. Neil Hayes · Bioinformatics · 5,676
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Clumpak : a program for identifying clustering modes and packaging population structure inferences across K
2015 · Naama M. Kopelman, Jonathan Mayzel, et al. · Molecular Ecology Resources · 3,250
Consensus Clustering: A Resampling-Based Method for Class Discovery and Visualization of Gene Expression Microarray Data
2003 · Stefano Monti, Pablo Tamayo, et al. · Machine Learning · 2,107
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Molecular subtypes of diffuse large B cell lymphoma are associated with distinct pathogenic mechanisms and outcomes
2018 · Bjoern Chapuy, Chip Stewart, et al. · Nature Medicine · 1,936
agricolae: Statistical Procedures for Agricultural Research
2006 · Felipe de Mendiburu · 1,628
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SC3: consensus clustering of single-cell RNA-seq data
2017 · Vladimir Yu Kiselev, Kristina Kirschner, et al. · Nature Methods · 1,499
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Combining multiple clusterings using evidence accumulation
2005 · Ana L.N. Fred, Anil K. Jain · IEEE Transactions on Pattern Analysis and Machine Intelligence · 1,196
10.1162/153244303321897735
2000 · Applied Physics Letters · 1,092
Multi-View Clustering via Joint Nonnegative Matrix Factorization
2013 · Jialu Liu, Chi Wang, et al. · SIAM International Conference on Data Mining · 998
Consensus clustering in complex networks
2012 · Andrea Lancichinetti, Santo Fortunato · Scientific Reports · 894
Data Clustering
2018 · Chapman & Hall/CRC eBooks · 756
An Evolutionary Approach to Multiobjective Clustering
2007 · Julia Handl, Joshua Knowles · IEEE Transactions on Evolutionary Computation · 718
Privacy-Preserving Traffic Flow Prediction: A Federated Learning Approach
2020 · Yi Liu, James J. Q. Yu, et al. · IEEE Internet of Things Journal · 710
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Classification of patients with sepsis according to blood genomic endotype: a prospective cohort study
2017 · Brendon P Scicluna, Lonneke A van Vught, et al. · The Lancet Respiratory Medicine · 680
Clustering ensembles: models of consensus and weak partitions
2005 · A. Topchy, A.K. Jain, et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence · 675
Aggregating inconsistent information
2008 · Nir Ailon, Moses Charikar, et al. · Journal of the ACM · 616
A Survey of Clustering Ensemble Algorithms
2011 · SANDRO VEGA-PONS, JOSÉ RUIZ-SHULCLOPER · International Journal of Pattern Recognition and Artificial Intelligence · 609
Random projection for high dimensional data clustering: a cluster ensemble approach
2003 · Xiaoli Z. Fern, Carla E. Brodley · 595
Solving cluster ensemble problems by bipartite graph partitioning
2004 · Xiaoli Zhang Fern, Carla E. Brodley · 568
Stratification of Pancreatic Ductal Adenocarcinomas Based on Tumor and Microenvironment Features
2018 · Francesco Puleo, Rémy Nicolle, et al. · Gastroenterology · 562
Ultra-Scalable Spectral Clustering and Ensemble Clustering
2019 · Dong Huang, Chang-Dong Wang, et al. · IEEE Transactions on Knowledge and Data Engineering · 498
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Radiomic feature clusters and Prognostic Signatures specific for Lung and Head & Neck cancer
2015 · Chintan Parmar, Ralph T. H. Leijenaar, et al. · Scientific Reports · 434
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A Survey on Multiview Clustering
2021 · Guoqing Chao, Shiliang Sun, et al. · IEEE Transactions on Artificial Intelligence · 430
Cluster ensembles, quantization and the dilogarithm
2009 · Vladimir V. Fock, Alexander B. Goncharov · Annales Scientifiques de l École Normale Supérieure · 413
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Works count: 8,530
Citation count: 104,000
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