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Bayesian cluster ensembles

https://doi.org/10.1002/sam.10098
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-1-4757-0450-1openalex-snapshot
Pattern Recognition with Fuzzy Objective Function Algorithms
inferredcites →https://doi.org/10.1007/978-1-4757-3748-6_3openalex-snapshot
Multilevel Hypergraph Partitioning
inferredcites →https://doi.org/10.1007/978-94-011-5014-9_12openalex-snapshot
A View of the Em Algorithm that Justifies Incremental, Sparse, and other Variants
inferredcites →https://doi.org/10.1007/s10618-010-0198-2openalex-snapshot
Mixed-membership naive Bayes models
inferredcites →https://doi.org/10.1016/j.knosys.2005.11.003openalex-snapshot
Clusterer ensemble
inferredcites →https://doi.org/10.1023/a:1023949509487openalex-snapshot
Consensus Clustering: A Resampling-Based Method for Class Discovery and Visualization of Gene Expression Microarray Data
inferredcites →https://doi.org/10.1080/00031305.1992.10475878openalex-snapshot
Explaining the Gibbs Sampler
inferredcites →https://doi.org/10.1090/dimacs/019/01openalex-snapshot
The median procedure for partitions
inferredcites →https://doi.org/10.1109/icdm.2007.55openalex-snapshot
Latent Dirichlet Conditional Naive-Bayes Models
inferredcites →https://doi.org/10.1109/icdm.2007.98openalex-snapshot
Solving Consensus and Semi-supervised Clustering Problems Using Nonnegative Matrix Factorization
inferredcites →https://doi.org/10.1109/icpr.2002.1047450openalex-snapshot
Data clustering using evidence accumulation
inferredcites →https://doi.org/10.1109/tpami.2006.226openalex-snapshot
Evaluation of Stability of k-Means Cluster Ensembles with Respect to Random Initialization
inferredcites →https://doi.org/10.1126/science.1136800openalex-snapshot
Clustering by Passing Messages Between Data Points
inferredcites →https://doi.org/10.1137/1.9781611972740.35openalex-snapshot
A Mixture Model for Clustering Ensembles
inferredcites →https://doi.org/10.1137/1.9781611972764.23openalex-snapshot
Weighted Clustering Ensembles
inferredcites →https://doi.org/10.1137/s1064827595287997openalex-snapshot
A Fast and High Quality Multilevel Scheme for Partitioning Irregular Graphs
inferredcites →https://doi.org/10.1145/1015330.1015414openalex-snapshot
Solving cluster ensemble problems by bipartite graph partitioning
inferredcites →https://doi.org/10.1145/1081870.1081942openalex-snapshot
Privacy-preserving distributed k-means clustering over arbitrarily partitioned data
inferredcites →https://doi.org/10.1145/1460797.1460800openalex-snapshot
Weighted cluster ensembles
inferredcites →https://doi.org/10.1145/266021.266273openalex-snapshot
Multilevel hypergraph partitioning
inferredcites →https://doi.org/10.1162/153244303321897735openalex-snapshot
10.1162/153244303321897735
inferredcites →https://doi.org/10.1162/jmlr.2003.3.4-5.993openalex-snapshot
10.1162/jmlr.2003.3.4-5.993
inferredcites →https://doi.org/10.5555/944919.944937openalex-snapshot
Latent dirichlet allocation

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Constraint projections for semi‐supervised spectral clustering ensemble
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A Bayesian criterion for cluster stability
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Learning Similarities from Examples Under the Evidence Accumulation Clustering Paradigm
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Summary and Semi-average Similarity Criteria for Individual Clusters
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A Note on the Effectiveness of the Least Squares Consensus Clustering
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A New Ensemble Clustering Approach for Effective Information Retrieval
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Consensus of Clusterings Based on High-Order Dissimilarities
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A MAP Approach to Evidence Accumulation Clustering
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Impact of Base Partitions on Multi-objective and Traditional Ensemble Clustering Algorithms
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Social Web Videos Clustering Based on Ensemble Technique
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Artificial Prediction Markets for Clustering
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Evaluation of Ensembles for Feature Selection
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Other Ensemble Approaches
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A Generative Dyadic Aspect Model for Evidence Accumulation Clustering
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Cluster Ensembles via Weighted Graph Regularized Nonnegative Matrix Factorization
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Least Square Consensus Clustering: Criteria, Methods, Experiments
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Soft-Voting Clustering Ensemble
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A Self-Supervised Framework for Clustering Ensemble
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Individual Approximate Clusters: Methods, Properties, Applications
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A Cluster Ensemble Framework Based on Three-Way Decisions
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Ensemble of Unsupervised and Supervised Models with Different Label Spaces
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Clustering Ensembles: A Data Perspective Survey
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rFILTA: relevant and nonredundant view discovery from collections of clusterings via filtering and ranking
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Projective clustering ensembles
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A multi-aspect approach to ontology matching based on Bayesian cluster ensembles
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Probabilistic consensus clustering using evidence accumulation
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A hybrid ensemble approach for the Steiner tree problem in large graphs: A geographical application
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Neighbor self-embedding graph model for clustering ensemble
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Weighted graph auto-encoders for cluster ensemble
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Data weighing mechanisms for clustering ensembles
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Synergetic information bottleneck for joint multi-view and ensemble clustering
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A multiple k-means clustering ensemble algorithm to find nonlinearly separable clusters
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Probabilistic cluster structure ensemble
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Bayesian image segmentation fusion
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Spectral co-clustering ensemble
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Hierarchical cluster ensemble model based on knowledge granulation
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Nonnegative matrix factorization for clustering ensemble based on dark knowledge
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Hybrid genetic model for clustering ensemble
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Gaussian gravitation for cluster ensembles
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Semi-supervised hierarchical clustering ensemble and its application
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An integrated K-means – Laplacian cluster ensemble approach for document datasets
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Parameter-free ensemble clustering framework with three-level dynamic weighting mechanism
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Risk assessment of the Ship steering gear failures using fuzzy-Bayesian networks
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Process safety assessment of PV valve failures on chemical tankers using a hybrid HAZOP–Bayesian Network approach
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Breast cancer patient stratification using a molecular regularized consensus clustering method
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Bayesian consensus clustering
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Evaluation of the classification of pre-solar silicon carbide grains using consensus clustering with resampling methods: An assessment of the confidence of grain assignments
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BREM-SC: a bayesian random effects mixture model for joint clustering single cell multi-omics data
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A Novel Double-Index-Constrained, Multi-View, Fuzzy-Clustering Algorithm and its Application for Detecting Epilepsy Electroencephalogram Signals
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Multi-source kernel k-means for clustering heterogeneous biomedical data
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Selective Ensemble Method Based on Spectral Clustering
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Multi-view clustering of web documents using multi-objective genetic algorithm
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A Novel Side-Information for Unsupervised Cluster Ensemble
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Projective Clustering Ensembles
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Clustering Ensemble and Application in HST Dataset
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Subspace Clustering Ensembles through Tensor Decomposition
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Hybrid K-Means Clustering for Training Special Children using Utility Pattern Mining
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Fuzzy based Hybrid Improvised High Utility Itemset Mining
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An ensemble clusterer of multiple fuzzy k-means clusterings to recognize arbitrarily shaped clusters
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Adaptive Noise Immune Cluster Ensemble Using Affinity Propagation
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An Information-Theoretical Framework for Cluster Ensemble
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An Adaptive Robust Semi-supervised Clustering Framework Using Weighted Consensus of Random k-Means Ensemble
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Probabilistic Combination of Classifier and Cluster Ensembles for Non-transductive Learning
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Heterogeneous Dual-Task Clustering with Visual-Textual Information
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An Ensemble Topic Model for Sharing Healthcare Data and Predicting Disease Risk
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Self-paced Consensus Clustering with Bipartite Graph
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Improving Clustering Methods By Exploiting Richness Of Text Data
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A new ensemble clustering method based on fuzzy cmeans clustering while maintaining diversity in ensemble
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The ensemble clustering with maximize diversity using evolutionary optimization algorithms
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