A Review on Consensus Clustering Methods
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Summary
This chapter provides a review of unsupervised consensus learning techniques based on their underlying theoretical principles, present the exact, approximation, and heuristic approaches, the relation of consensus clustering with other well-studied problems, and discuss relevant applications.
- Type
- review
- Published
- 2014-01-01
- Cited by
- 18
- References
- 69
- Access
- Open access
- OpenAlex
- https://openalex.org/W78031170
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:58626921
Keywords
Cluster analysis, Computer science, Consensus clustering, Heuristic, Conceptual clustering
References
- Robust Data Mining
- Are approximation algorithms for consensus clustering worthwhile?
- Weighted Consensus Clustering
- Clustering challenges in biological networks
- A SOM-based document clustering using phrases
- Consensus Clustering: A Resampling-Based Method for Class Discovery and Visualization of Gene Expression Microarray Data
- A Consensus Framework for Integrating Distributed Clusterings Under Limited Knowledge Sharing
- Learning with Kernels: support vector machines, regularization, optimization, and beyond
- Multiple classifier systems : 7th International Workshop, MCS 2007, Prague, Czech Republic, May 23-25, 2007 : proceedings
- A Comparison of Document Clustering Techniques
- Handbook of Massive Data Sets
- Mining of Massive Datasets
- Clustering to Minimize the Maximum Intercluster Distance
- The expectation-maximization algorithm
- Density‐based clustering
- Rough subspace-based clustering ensemble for categorical data
- ConsensusCluster: A Software Tool for Unsupervised Cluster Discovery in Numerical Data
- Data clustering: a review
- Lagrangian relaxation and pegging test for the clique partitioning problem
- A Stability Based Method for Discovering Structure in Clustered Data
Cited by
- A robust unsupervised consensus control chart pattern recognition framework
- A hybrid approach to semantic hashtag clustering in social media
- Bi-level and Bi-objective p-Median Type Problems for Integrative Clustering: Application to Analysis of Cancer Gene-Expression and Drug-Response Data
- Weighting policies for robust unsupervised ensemble learning
- A weighted framework for unsupervised ensemble learning based on internal quality measures
- Hybrid semantic clustering of hashtags
- Estimating the number of clusters in a dataset via consensus clustering
- Weighted Clustering Ensemble: A Review
- Quantitative Radiomic Analysis for Prognostic Medical Applications
- BUSINESS DEMOGRAPHY AND ECONOMIC GROWTH: SIMILARITIES AND DISPARITIES IN 10 EUROPEAN UNION COUNTRIES
- Functional non-parametric latent block model: A multivariate time series clustering approach for autonomous driving validation
- Consensus Clustering Strategy for Cell Type Assignments of scRNA-seq Data
- Federated One-Shot Ensemble Clustering
- Phenotypic Consensus Clustering and Treatment Heterogeneity Analysis in Critically Ill Patients with Comorbid Type 2 Diabetes Mellitus.
- Applying Bayesian Growth Modeling In Machine Learning For Longitudinal Data
- Ensemble clustering: A practical tutorial
- K-Medoids-Based Consensus Clustering Based on Cell-Like P Systems with Promoters and Inhibitors
- Non-parametric Multivariate Time Series Co-clustering Model Applied to Driving-Assistance Systems Validation
- Weighting Policies for Robust Unsupervised Ensemble Learning
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