Description
Ensemble clustering, also called consensus clustering, has been attracting much attention in recent years, aiming to combine multiple base clustering algorithms into a better and more consensus clustering. Due to its good performance, ensemble clustering plays a vital role in many research areas, such as community detection and bioinformatics.
Papers Using This Method
Discriminative Ordering Through Ensemble Consensus2025-05-07AdaptiveMDL-GenClust: A Robust Clustering Framework Integrating Normalized Mutual Information and Evolutionary Algorithms2024-11-26Similarity and Dissimilarity Guided Co-association Matrix Construction for Ensemble Clustering2024-11-01Hybrid Ensemble Deep Graph Temporal Clustering for Spatiotemporal Data2024-09-19A Bayesian Approach to Clustering via the Proper Bayesian Bootstrap: the Bayesian Bagged Clustering (BBC) algorithm2024-09-13Federated One-Shot Ensemble Clustering2024-09-12Linear time Evidence Accumulation Clustering with KMeans2023-11-15Parea: multi-view ensemble clustering for cancer subtype discovery2022-09-30clusterBMA: Bayesian model averaging for clustering2022-09-09DeepCluE: Enhanced Image Clustering via Multi-layer Ensembles in Deep Neural Networks2022-06-01Ensemble Method for Cluster Number Determination and Algorithm Selection in Unsupervised Learning2021-12-23A Novel Data Segmentation Method for Data-driven Phase Identification2021-11-20Ensemble clustering for histopathological images segmentation using convolutional autoencoders2021-07-20The Three Ensemble Clustering (3EC) Algorithm for Pattern Discovery in Unsupervised Learning2021-07-08LSEC: Large-scale spectral ensemble clustering2021-06-18Solving weakly supervised regression problem using low-rank manifold regularization2021-04-13Self-supervised Symmetric Nonnegative Matrix Factorization2021-03-02Ensemble Learning for Spectral Clustering2020-11-20EDA: Enriching Emotional Dialogue Acts using an Ensemble of Neural Annotators2019-12-02