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Cluster ensembles
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/11691730_9openalex-snapshot
Heterogeneous Clustering Ensemble Method for Combining Different Cluster Results
inferredcites →https://doi.org/10.1007/3-540-44467-x_48openalex-snapshot
A Scalable Approach to Balanced, High-Dimensional Clustering of Market-Baskets
inferredcites →https://doi.org/10.1007/978-0-387-39940-9_2309openalex-snapshot
Correlation Clustering
inferredcites →https://doi.org/10.1007/978-0-387-45528-0openalex-snapshot
Pattern Recognition and Machine Learning
inferredcites →https://doi.org/10.1007/978-1-4471-0793-4openalex-snapshot
Combining Artificial Neural Nets
inferredcites →https://doi.org/10.1007/978-1-4613-0457-9openalex-snapshot
Mathematical Classification and Clustering
inferredcites →https://doi.org/10.1007/978-3-540-45167-9_14openalex-snapshot
Comparing Clusterings by the Variation of Information
inferredcites →https://doi.org/10.1007/978-3-642-15939-8_28openalex-snapshot
Nonparametric Bayesian Clustering Ensembles
inferredcites →https://doi.org/10.1007/bf01894187openalex-snapshot
Foreword: Comparison and consensus of classifications
inferredcites →https://doi.org/10.1016/j.eswa.2008.06.093openalex-snapshot
External validation measures for K-means clustering: A data distribution perspective
inferredcites →https://doi.org/10.1016/j.inffus.2004.03.001openalex-snapshot
A cluster ensemble method for clustering categorical data
inferredcites →https://doi.org/10.1016/j.patcog.2006.02.012openalex-snapshot
An aggregated clustering approach using multi-ant colonies algorithms
inferredcites →https://doi.org/10.1016/j.patcog.2008.09.027openalex-snapshot
A scalable framework for cluster ensembles
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/10.1038/sj.jors.2600836openalex-snapshot
Mathematical Classification and Clustering
inferredcites →https://doi.org/10.1093/bioinformatics/btg038openalex-snapshot
Bagging to improve the accuracy of a clustering procedure
inferredcites →https://doi.org/10.1093/bioinformatics/btm212openalex-snapshot
An ensemble framework for clustering protein–protein interaction networks
inferredcites →https://doi.org/10.1109/2.781637openalex-snapshot
Chameleon: hierarchical clustering using dynamic modeling
inferredcites →https://doi.org/10.1109/icdm.2003.1250937openalex-snapshot
Combining multiple weak clusterings
inferredcites →https://doi.org/10.1109/icdm.2004.10100openalex-snapshot
Analysis of Consensus Partition in Cluster Ensemble
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/icdmw.2006.50openalex-snapshot
Consensus Clustering for Detection of Overlapping Clusters in Microarray Data
inferredcites →https://doi.org/10.1109/icpr.2010.615openalex-snapshot
AP-Based Consensus Clustering for Gene Expression Time Series
inferredcites →https://doi.org/10.1109/tpami.2005.113openalex-snapshot
Combining multiple clusterings using evidence accumulation
inferredcites →https://doi.org/10.1109/tpami.2007.1138openalex-snapshot
Cumulative Voting Consensus Method for Partitions with Variable Number of Clusters
inferredcites →https://doi.org/10.1137/1.9781611972740.22openalex-snapshot
Clustering with Bregman Divergences
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/10.1137/1.9781611972788.72openalex-snapshot
Weighted Consensus Clustering
inferredcites →https://doi.org/10.1137/1.9781611972795.19openalex-snapshot
Bayesian Cluster Ensembles
inferredcites →https://doi.org/10.1137/1.9781611972887.11openalex-snapshot
Consensus Clustering Algorithms: Comparison and Refinement
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/10.1145/1081870.1081896openalex-snapshot
A distributed learning framework for heterogeneous data sources
inferredcites →https://doi.org/10.1145/1148170.1148323openalex-snapshot
Feature diversity in cluster ensembles for robust document clustering
inferredcites →https://doi.org/10.1145/1835804.1835820openalex-snapshot
Automatic malware categorization using cluster ensemble
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.2003.4.6.1001openalex-snapshot
10.1162/jmlr.2003.4.6.1001
inferredcites →https://doi.org/10.1186/gb-2004-5-11-r94openalex-snapshot
Consensus clustering and functional interpretation of gene-expression data
inferredcites →https://doi.org/10.1242/jeb.01514openalex-snapshot
STEM CELLS: THE CONTROVERSY CONTINUES
inferredcites →https://doi.org/10.36045/bbms/1103408638openalex-snapshot
On partitions, surjections, and Stirling numbers
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/047134608x.w8382openalex-snapshot
Anomaly Detection in Sequential Data: Principles and Case Studies
inferred← citeshttps://doi.org/10.1002/cpe.5359openalex-snapshot
Constraint projections for semi‐supervised spectral clustering ensemble
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Multiview cluster ensembles for multimodal MRI segmentation
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Objective function‐based clustering
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There and back again: Outlier detection between statistical reasoning and data mining algorithms
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Internet of Things and data analytics: A current review
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Unsupervised Algorithms for Microarray Sample Stratification
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A Note on the Effectiveness of the Least Squares Consensus Clustering
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Regression Analysis with Cluster Ensemble and Kernel Function
inferred← citeshttps://doi.org/10.1007/978-3-030-44584-3_9openalex-snapshot
Ising-Based Consensus Clustering on Specialized Hardware
inferred← citeshttps://doi.org/10.1007/978-3-030-49570-1_11openalex-snapshot
A New Information Theory Based Clustering Fusion Method for Multi-view Representations of Text Documents
inferred← citeshttps://doi.org/10.1007/978-3-031-21127-0_52openalex-snapshot
On the Effectiveness of Using Link Weights and Link Direction for Community Detection in Multilayer Networks
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Ensemble Clustering with Heterogeneous Transfer Learning
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Anomaly Detection on Abrupt Climate Change Using AI Techniques
inferred← citeshttps://doi.org/10.1007/978-3-319-12610-4_6openalex-snapshot
A MAP Approach to Evidence Accumulation Clustering
inferred← citeshttps://doi.org/10.1007/978-3-319-23392-5_24openalex-snapshot
Unsupervised Analysis of Morphological ECG Features for Attention Detection
inferred← citeshttps://doi.org/10.1007/978-3-319-25754-9_34openalex-snapshot
Combining Rough Clustering Schemes as a Rough Ensemble
inferred← citeshttps://doi.org/10.1007/978-3-319-31204-0_11openalex-snapshot
Hybrid Biclustering Algorithms for Data Mining
inferred← citeshttps://doi.org/10.1007/978-3-319-59129-2_16openalex-snapshot
A Clustering Approach to Heterogeneous Change Detection
inferred← citeshttps://doi.org/10.1007/978-3-319-90080-3_7openalex-snapshot
Other Ensemble Approaches
inferred← citeshttps://doi.org/10.1007/978-3-642-21557-5_29openalex-snapshot
C 3E: A Framework for Combining Ensembles of Classifiers and Clusterers
inferred← citeshttps://doi.org/10.1007/978-3-642-36973-5_79openalex-snapshot
Least Square Consensus Clustering: Criteria, Methods, Experiments
inferred← citeshttps://doi.org/10.1007/978-3-642-38067-9_17openalex-snapshot
Semi-supervised Clustering Ensemble for Web Video Categorization
inferred← citeshttps://doi.org/10.1007/978-3-642-38067-9_27openalex-snapshot
Soft-Voting Clustering Ensemble
inferred← citeshttps://doi.org/10.1007/978-3-642-38628-2_8openalex-snapshot
Consensus Clustering Using Partial Evidence Accumulation
inferred← citeshttps://doi.org/10.1007/978-3-642-38634-3_20openalex-snapshot
Stabilization of Users Profiling Processed by Metaclustering of Web Pages
inferred← citeshttps://doi.org/10.1007/978-3-642-38715-9_22openalex-snapshot
A New Efficient Text Clustering Ensemble Algorithm Based on Semantic Sequences
inferred← citeshttps://doi.org/10.1007/978-3-642-40395-8_23openalex-snapshot
Consensus Clustering with Robust Evidence Accumulation
inferred← citeshttps://doi.org/10.1007/978-3-662-43505-2_28openalex-snapshot
Deep and Modular Neural Networks
inferred← citeshttps://doi.org/10.1007/s00477-018-1609-yopenalex-snapshot
Estimating landslide susceptibility areas considering the uncertainty inherent in modeling methods
inferred← citeshttps://doi.org/10.1007/s00500-021-06092-7openalex-snapshot
A multi-level consensus function clustering ensemble
inferred← citeshttps://doi.org/10.1007/s10115-015-0851-6openalex-snapshot
On strategies for building effective ensembles of relative clustering validity criteria
inferred← citeshttps://doi.org/10.1007/s10115-016-0988-yopenalex-snapshot
Weighted-object ensemble clustering: methods and analysis
inferred← citeshttps://doi.org/10.1007/s10462-018-9642-2openalex-snapshot
Clustering ensemble selection considering quality and diversity
inferred← citeshttps://doi.org/10.1007/s10462-020-09862-1openalex-snapshot
Consensus function based on cluster-wise two level clustering
inferred← citeshttps://doi.org/10.1007/s10489-024-05566-zopenalex-snapshot
Feature ranking based consensus clustering for feature subset selection
inferred← citeshttps://doi.org/10.1007/s10528-025-11305-xopenalex-snapshot
CAECC-Subtyper: A Novel Convolutional Autoencoder Framework for Integrating Multi-omics Data in Cancer Subtyping
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Projective clustering ensembles
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Representing ensembles of networks for fuzzy cluster analysis: a case study
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The blind men and the elephant: on meeting the problem of multiple truths in data from clustering and pattern mining perspectives
inferred← citeshttps://doi.org/10.1007/s10994-013-5339-6openalex-snapshot
Probabilistic consensus clustering using evidence accumulation
inferred← citeshttps://doi.org/10.1007/s10994-013-5342-yopenalex-snapshot
Comparative study of matrix refinement approaches for ensemble clustering
inferred← citeshttps://doi.org/10.1007/s10994-013-5395-yopenalex-snapshot
Metacluster-based Projective Clustering Ensembles
inferred← citeshttps://doi.org/10.1007/s10994-016-5543-2openalex-snapshot
Rényi divergence minimization based co-regularized multiview clustering
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Representation learning for clustering via building consensus
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A one-shot domain-independent robust multimedia clustering methodology based on hybrid multimodal fusion
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Simultaneous Learning the Dimension and Parameter of a Statistical Model with Big Data
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LiDAR-supported prediction of slope failures using an integrated ensemble weights-of-evidence and analytical hierarchy process
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AutoML: state of the art with a focus on anomaly detection, challenges, and research directions
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A Novel Hierarchical High-Dimensional Unsupervised Active Learning Method
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A sequential ensemble clusterings generation algorithm for mixed data
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Combining attribute content and label information for categorical data ensemble clustering
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Combining clustering and classification ensembles: A novel pipeline to identify breast cancer profiles
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A novel ensemble bivariate statistical evidential belief function with knowledge-based analytical hierarchy process and multivariate statistical logistic regression for landslide susceptibility mapping
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Consensus clustering algorithm based on the automatic partitioning similarity graph
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From clustering to clustering ensemble selection: A review
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Weighted consensus clustering and its application to Big data
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initKmix-A novel initial partition generation algorithm for clustering mixed data using k-means-based clustering
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Speeding up the large-scale consensus fuzzy clustering for handling Big Data
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A metaheuristic optimization framework for informative gene selection
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Revealing community structures by ensemble clustering using group diffusion
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Using unsupervised information to improve semi-supervised tweet sentiment classification
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Learning specific and conserved features of multi-layer networks
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A hybrid ensemble pruning approach based on consensus clustering and multi-objective evolutionary algorithm for sentiment classification
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A multiple clustering combination approach based on iterative voting process
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Machine learning (ML)-centric resource management in cloud computing: A review and future directions
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An integrated robust semi-supervised framework for improving cluster reliability using ensemble method for heterogeneous datasets
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Weighted ensemble learning of Bayesian network for gene regulatory networks
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Incremental density-based ensemble clustering over evolving data streams
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Dynamic synergetic configurations of resting-state networks in ADHD
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A Stochastic Multi-criteria divisive hierarchical clustering algorithm
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Ensemble clustering based on weighted co-association matrices: Error bound and convergence properties
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Clustering ensemble selection for categorical data based on internal validity indices
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Weighted ensemble of algorithms for complex data clustering
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Fuzzy Criteria in Multi-objective Feature Selection for Unsupervised Learning
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A cluster analysis approach based on exploiting density peaks for gas discrimination with electronic noses in open environments
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JLONMFSC: Clustering scRNA-seq data based on joint learning of non-negative matrix factorization and subspace clustering
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An introduction to machine learning and analysis of its use in rheumatic diseases
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Multiresolution Consensus Clustering in Networks
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Identifying robust communities and multi-community nodes by combining top-down and bottom-up approaches to clustering
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A new approach to feature-based asteroid taxonomy in 3D color space
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CLaSPS: A NEW METHODOLOGY FOR KNOWLEDGE EXTRACTION FROM COMPLEX ASTRONOMICAL DATA SETS
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REBET: a method to determine the number of cell clusters based on batch effect removal
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Joint learning dimension reduction and clustering of single-cell RNA-sequencing data
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GeoWaVe: geometric median clustering with weighted voting for ensemble clustering of cytometry data
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SAFE-clustering: Single-cell Aggregated (from Ensemble) clustering for single-cell RNA-seq data
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Subspace clustering using ensembles of K-subspaces
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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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SAME-clustering: Single-cell Aggregated Clustering via Mixture Model Ensemble
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constclust: Consistent Clusters for scRNA-seq
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GeoWaVe: Geometric median clustering with weighted voting for ensemble clustering of cytometry data
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A hyperparameter-randomized ensemble approach for robust clustering across diverse datasets
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Consensus Clustering for Robust Bioinformatics Analysis
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Two-Level-Oriented Selective Clustering Ensemble Based on Hybrid Multi-Modal Metrics
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Survey of State-of-the-Art Mixed Data Clustering Algorithms
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Software Architecture Module-View Recovery Using Cluster Ensembles
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Two-Stage Topic Extraction Model for Bibliometric Data Analysis Based on Word Embeddings and Clustering
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Qualitative Clustering of Software Repositories Based on Software Metrics
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Consensus Clustering by Weight Optimization of Input Partitions
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Application of the K-Standards Algorithm for the Clustering Problem of Production Batches of Semiconductor Devices
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Multi-view Clustering for the Integration Analysis of Gene Expression and Methylation Data
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Hybrid Ensemble Deep Graph Temporal Clustering for Spatiotemporal Data
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Combining Classification and Clustering for Tweet Sentiment Analysis
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Towards the Use of Metaheuristics for Optimizing the Combination of Classifier and Cluster Ensembles
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Improving the quality of clustering using cluster ensembles
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Autoencoder-based Low-Rank Spectral Ensemble Clustering of Biological Data
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Consensus clustering for dimensionality reduction
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Feature subset selection using consensus clustering
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A multi-view approach to consensus clustering in multi-modal MRI
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Adaptive Online k-Subspaces with Cooperative Re-Initialization
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Weighted-Object Ensemble Clustering
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Imbalanced Hypergraph Partitioning and Improvements for Consensus Clustering
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Graph-based Semi-Supervised Classification for Online Customer Reviews Using Consensus Clustering
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Consensus Clustering With Unsupervised Representation Learning
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On the Use of a Cluster Ensemble Cloud Classification Technique in Satellite Precipitation Estimation
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Improve Basic Sequential Algorithm Scheme using Ant Colony Algorithm
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Semi-supervised classification with cluster ensemble
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Cluster ensemble construction with the algorithm of averaged centroids
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Cluster Ensemble Kernel for Kernel-based Classification
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K-Means Clustering in Dual Space for Unsupervised Feature Partitioning in Multi-view Learning
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Ensemble clustering selection by optimization of accuracy-diversity trade off
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A Clustering Method Unifying Cell-Type Recognition and Subtype Identification for Tumor Heterogeneity Analysis
inferred← citeshttps://doi.org/10.1109/tcbb.2022.3229678openalex-snapshot
Multi-View Clustering for Integration of Gene Expression and Methylation Data With Tensor Decomposition and Self-Representation Learning
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Deep Imputation Bi-Stochastic Graph Regularized Matrix Factorization for Clustering Single-Cell RNA-Sequencing Data
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Clustering of Multilayer Networks Using Joint Learning Algorithm With Orthogonality and Specificity of Features
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Proximity-Based Clustering: A Search for Structural Consistency in Data With Semantic Blocks of Features
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Multiview Fuzzy Clustering for Multilayer and Multiattribute Graphs
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Noised Multi-Layer Networks Clustering With Graph Denoising and Structure Learning
inferred← citeshttps://doi.org/10.1109/tnnls.2025.3605215openalex-snapshot
Spatial–Temporal Diffusion Model for Matrix Factorization
inferred← citeshttps://doi.org/10.1109/tnnls.2025.3644484openalex-snapshot
DGNMF: Dynamic Diffusion Graph Nonnegative Matrix Factorization
inferred← citeshttps://doi.org/10.1109/tpami.2025.3600256openalex-snapshot
Self-Constrained Clustering Ensemble
inferred← citeshttps://doi.org/10.1109/tpami.2025.3640844openalex-snapshot
Physics-Informed Matrix Factorization Operator
inferred← citeshttps://doi.org/10.1111/coin.12097openalex-snapshot
Bagged Subspaces for Unsupervised Outlier Detection
inferred← citeshttps://doi.org/10.1111/coin.12267openalex-snapshot
Ensemble cluster pruning via convex‐concave programming
inferred← citeshttps://doi.org/10.1117/12.2042327openalex-snapshot
A multi-view approach to multi-modal MRI cluster ensembles
inferred← citeshttps://doi.org/10.1134/s00051179220120086openalex-snapshot
Model and Method for Constructing a Heterogeneous Cluster Ensemble
inferred← citeshttps://doi.org/10.1134/s1054661816040040openalex-snapshot
Construction of an optimal collective decision in cluster analysis on the basis of an averaged co-association matrix and cluster validity indices
inferred← citeshttps://doi.org/10.1134/s1054661818010029openalex-snapshot
A Probabilistic Model of Fuzzy Clustering Ensemble
inferred← citeshttps://doi.org/10.1137/1.9781611972825.90openalex-snapshot
On Evaluation of Outlier Rankings and Outlier Scores
inferred← citeshttps://doi.org/10.1142/s021821301750018xopenalex-snapshot
Consensus-Driven Cluster Analysis: Top-Down and Bottom-Up Based Split-and-Merge Classifiers
inferred← citeshttps://doi.org/10.1145/1924559.1924575openalex-snapshot
A new clusterwise similarity for partitions based on quantitative disagreement
inferred← citeshttps://doi.org/10.1145/2484838.2484844openalex-snapshot
On the combination of relative clustering validity criteria
inferred← citeshttps://doi.org/10.1145/2487575.2487676openalex-snapshot
Subsampling for efficient and effective unsupervised outlier detection ensembles
inferred← citeshttps://doi.org/10.1145/2594473.2594476openalex-snapshot
Ensembles for unsupervised outlier detection
inferred← citeshttps://doi.org/10.1145/2601435openalex-snapshot
An Optimization Framework for Combining Ensembles of Classifiers and Clusterers with Applications to Nontransductive Semisupervised Learning and Transfer Learning
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Aprendizado de máquina com informação privilegiada: abordagens para agrupamento hierárquico de textos
inferred← citeshttps://doi.org/10.1177/00131644261430762openalex-snapshot
Integrating Ensemble Clustering and Text Embeddings for Estimating the Factor Loadings of Self-Report Scales
inferred← citeshttps://doi.org/10.1186/s12859-017-1996-yopenalex-snapshot
diceR: an R package for class discovery using an ensemble driven approach
inferred← citeshttps://doi.org/10.1186/s12911-021-01610-xopenalex-snapshot
Teleconsultation demand classification and service analysis
inferred← citeshttps://doi.org/10.1186/s12918-019-0699-6openalex-snapshot
A fast and efficient count-based matrix factorization method for detecting cell types from single-cell RNAseq data
inferred← citeshttps://doi.org/10.1186/s13059-024-03386-5openalex-snapshot
ESCHR: a hyperparameter-randomized ensemble approach for robust clustering across diverse datasets
inferred← citeshttps://doi.org/10.1186/s40854-021-00310-9openalex-snapshot
Analysis of the cryptocurrency market using different prototype-based clustering techniques
inferred← citeshttps://doi.org/10.1504/ijbic.2015.069288openalex-snapshot
A differential evolution algorithm to optimise the combination of classifier and cluster ensembles
inferred← citeshttps://doi.org/10.17714/gumusfenbil.1255423openalex-snapshot
GNSS hızlarında kümelemeden topluluk kümelemesine: Meta-kümeleme odaklı bir yaklaşım
inferred← citeshttps://doi.org/10.2196/30890openalex-snapshot
An Analysis of Different Distance-Linkage Methods for Clustering Gene Expression Data and Observing Pleiotropy: Empirical Study
inferred← citeshttps://doi.org/10.28925/2663-4023.2024.26.790openalex-snapshot
ENSEMBLE OF CLUSTERIZATION ALGORITHMS WITH VARIOUS METRICS FOR ANALYSIS OF BANK NETWORK TRAFFIC
inferred← citeshttps://doi.org/10.31449/inf.v44i1.2737openalex-snapshot
Application of Algorithms with Variable Greedy Heuristics for k-Medoids Problems
inferred← citeshttps://doi.org/10.3233/fi-2017-1597openalex-snapshot
On Seeking Consensus Between Document Similarity Measures
inferred← citeshttps://doi.org/10.3233/ica-150485openalex-snapshot
Using metaheuristics to optimize the combination of classifier and cluster ensembles
inferred← citeshttps://doi.org/10.3233/ida-140647openalex-snapshot
Cluster ensemble selection based on a new cluster stability measure1
inferred← citeshttps://doi.org/10.3233/ida-150772openalex-snapshot
Partially ordered rough ensemble clustering for multigranular representations
inferred← citeshttps://doi.org/10.3233/jifs-181138openalex-snapshot
Anomaly analysis based on meta-subspace approach for sentiment classification
inferred← citeshttps://doi.org/10.3390/app122412636openalex-snapshot
Ensemble Clustering in GPS Velocities: A Case Study of Turkey
inferred← citeshttps://doi.org/10.3390/e25020371openalex-snapshot
An Ensemble and Multi-View Clustering Method Based on Kolmogorov Complexity
inferred← citeshttps://doi.org/10.3390/ijms27031173openalex-snapshot
scIRT: Imputation and Dimensionality Reduction for Single-Cell RNA-Seq Data by Combining NMF with SMOTE
inferred← citeshttps://doi.org/10.3390/s21238047openalex-snapshot
Operational Modes Detection in Industrial Gas Turbines Using an Ensemble of Clustering Methods
inferred← citeshttps://doi.org/10.3390/s23125513openalex-snapshot
Automatic Post-Stroke Severity Assessment Using Novel Unsupervised Consensus Learning for Wearable and Camera-Based Sensor Datasets
inferred← citeshttps://doi.org/10.3847/1538-3881/aae263openalex-snapshot
Detecting Variability in Massive Astronomical Time-series Data. III. Variable Candidates in the SuperWASP DR1 Found by Multiple Clustering Algorithms and a Consensus Clustering Method
inferred← citeshttps://doi.org/10.4018/978-1-5225-2255-3.ch170openalex-snapshot
Ensemble Clustering Data Mining and Databases
inferred← citeshttps://doi.org/10.4018/978-1-5225-7598-6.ch041openalex-snapshot
Ensemble Clustering Data Mining and Databases
inferred← citeshttps://doi.org/10.4028/www.scientific.net/amm.321-324.1943openalex-snapshot
A Novel Clustering Ensemble Method Based on One-Class Support Vector Machine
inferred← citeshttps://doi.org/10.47749/t/unicamp.2015.947203openalex-snapshot
On biclusters aggregation and its benefits for enumerative solutions
inferred← citeshttps://doi.org/10.48550/arxiv.1206.0994openalex-snapshot
An Optimization Framework for Semi-Supervised and Transfer Learning using Multiple Classifiers and Clusterers
inferred← citeshttps://doi.org/10.48550/arxiv.1709.04744openalex-snapshot
Subspace Clustering using Ensembles of $K$-Subspaces
inferred← citeshttps://doi.org/10.5220/0004554403810390openalex-snapshot
Morphological ECG Analysis for Attention Detection
inferred← citeshttps://doi.org/10.6084/m9.figshare.16305955openalex-snapshot
Additional file 1 of Teleconsultation demand classification and service analysis
inferred← citeshttps://doi.org/10.65206/pajes.1878919openalex-snapshot
A comprehensive review of regional clustering analyses based on health indicators in Türkiye
inferred← citeshttps://doi.org/10.70675/098b3fb0zab3ez4145zbd38ze9e7f5b268c7openalex-snapshot
Automatic diagnosis of melanoma from dermoscopic images of melanocytic tumors : Analytical and comparative approaches
inferred← citeshttps://doi.org/10.70675/b7843ad7z3ae0z43caz9e47zf95945cd3b83openalex-snapshot
Network-based machine learning methods to model variability across individuals
inferred← citeshttps://doi.org/10.70675/d91a3321z646fz4691zb1f5z1e5039b15385openalex-snapshot
Modélisation de séquences et reconstruction non supervisée de génomes microbiens à partir de donnée métagénomiques.
inferred← citeshttps://doi.org/10.7763/ijmlc.2014.v4.424openalex-snapshot
Cluster Ensembles, Majority Vote, Voter Eligibility and Privileged Voters
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