Clustering

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Overview

Clustering seeks useful groupings when labels are absent or incomplete, helping reveal structure in data such as text, images, graphs, time series, and scientific measurements. Methods include centroid-based k-means, density and hierarchical clustering, graph and spectral methods, mixture models, and newer approaches that learn embeddings or use optimal transport; fairness, privacy, streaming, and federated settings add further constraints. Work also studies how to choose the number of clusters and assess stability, uncertainty, interpretability, and statistical significance. No single method works best across data types: deep methods do not consistently beat strong conventional algorithms, and reliable validation remains a central challenge.

Latest papers

CardsList

347 papers33 papers in the last four weeks, up 18% on the four weeks before. 0.2% of all new papers.

  1. Event Ontology Expansion via LLM-Based Conceptualization

    Jun 19, 2026Weicheng Ren, Zixuan Li, Long Bai +3ClusteringOntology Learning

    State Key Laboratory of AI Safety · Institute of Computing Technology, Chinese Academy of Sciences

  2. Eigenspace-Based Clustering for Personalized System Identification

    Jun 18, 2026Abdulmoneam Ali, Dipankar Maity, Ahmed ArafaClusteringUnsupervised Clustering

    Department of Electrical and Computer Engineering University of North Carolina at Charlotte, NC 28223

  3. FOSC-X: An Extended Framework for Optimal Local Cuts and Non-Horizontal Cluster Selection from Clustering Hierarchies

    Jun 17, 2026Connor Simpson, Ricardo J. G. B. CampelloDynamic ProgrammingClustering

    Department of Mathematics and Computer Science, University of Southern Denmark, Odense, Denmark.

  4. C-ARC: Continuous-Adaptive Range Clustering for Non-Repetitive LiDAR Sensors

    Jun 17, 2026Nick B. Schroeder, Jonathan Lichtenfeld, Oskar von StrykClusteringPoint Cloud Understanding

    Technical University of Darmstadt, Darmstadt, Germany · Technical University of Darmstadt, Hochschulstr. 10, 64289 Darmstadt, Germany. · Simulation, Systems Optimization and Robotics Group, Technical University of Darmstadt, Darmstadt, Germany +1

  5. Seed-Guided Semi-Supervised Clustering by A-Contrario Anomaly Detection

    Jun 17, 2026Nassir MohammadClusteringSemi-Supervised Learning

    Cyber Innovation Lab, Airbus, Newport, UK

  6. S-JEPA : Soft Clustering Anchors for Self-Supervised Speech Representation Learning

    Jun 17, 2026Georgios Ioannides, Adrian Kieback, Judah Goldfeder +5ClusteringJoint-Embedding Predictive Architecture

    Carnegie Mellon University · James Silberrad Brown Center for AI · Amazon GenAI +4

  7. scGTN: Deep Siamese Graph Transformer Network for Single-cell RNA Sequencing Clustering

    Jun 17, 2026Jinke Wu, Yifan Wang, Siyu Yi +5Graph SSLClustering

    Sichuan University · University of International Business and Economics · Great Bay University +1

  8. Cluster LOCO: Feature Importance For Interpreting Clusters

    Jun 12, 2026Claire M. He, Genevera I. AllenClustering

    Department of Statistics · Columbia University · New York, NY 10027, USA

  9. Robust State-Conditional Feature-Weighted Jump Models for Temporal Clustering

    Jun 11, 2026Federico P. Cortese, Alessio FarcomeniClusteringUnsupervised Clustering

    University of Milan, Department of Economics, Management, and Quantitative Methods · National Research Council of Italy, Institute for Applied Mathematics and Information Technologies, Milan · University of Rome “Tor Vergata”, Department of Enterprise Engineering

  10. scLLM-DSC: LLM-Knowledge Enhanced Cross-Modal Deep Structural Clustering for Single-Cell RNA Sequencing

    Jun 11, 2026Ping Xu, Pengjiang Li, Tian Du +6ClusteringUnsupervised Clustering

    Computer Network Information Center, Chinese Academy of Sciences, Beijing, China · University of Chinese Academy of Sciences, Beijing, China · School of Computing and Information Technology, Great Bay University, Dongguan, China +2

  11. Efficient Time Series Clustering from Multiscale Reservoir Dynamics with Granular-Ball Anchoring Graph Optimization

    Jun 10, 2026Yifan Wang, Lifeng Shen, Shuyin Xia +1ClusteringTime Series Clustering

    Chongqing Key Laboratory of Computational Intelligence, Key Laboratory of Cyberspace Big Data Intelligent Security, Ministry of Education, Sichuan-Chongqing Co-construction Key Laboratory of Digital Economy Intelligence and Key Laboratory of Big Data Intelligent Computing, College of Computer Science and Technology, Chongqing University of Posts and Telecommunications · Chongqing Ant Consumer Finance Co,. Ltd, Ant Group.

  12. Towards Data-free and Training-free Compression for Speech Foundation Models Using Parameter Clustering

    Jun 10, 2026Haoning Xu, Zhaoqing Li, Huimeng Wang +4Speech Foundation ModelsClustering

    The Chinese University of Hong Kong, Hong Kong SAR, China · National Research Council Canada, Canada

  13. Flash-GMM: A Memory-Efficient Kernel for Scalable Soft Clustering

    Jun 9, 2026Gal Bloch, Ariel Gera, Matan Orbach +2GPU Kernel OptimizationGPU Acceleration

    IBM Research

  14. Recovering the Zipfian Distribution in Unsupervised Term Discovery

    Jun 9, 2026Danel Slabbert, Simon Malan, Herman KamperZipf's LawClustering

    Electrical and Electronic Engineering, Stellenbosch University, South Africa

  15. ClusBench: The Clustering Benchmark Data Resource You've All Been Waiting For (?)

    Jun 9, 2026David P. HofmeyrBenchmark ConstructionClustering

    School of Mathematical Sciences, Lancaster University

  16. Joint user-item allocation for e-commerce marketing campaigns

    Jun 8, 2026Maja Lindström, Natalija Glisovic, Jan von Pichowski +2Clustering

    Department of Computing Science Integrated Science Lab Umeå University SE-901 87 Umeå, Sweden · KTH Royal Institute of Technology Stockholm, SE-114 28, Sweden · Chair of Machine Learning for Complex Networks Center for Artificial Intelligence and Data Science (CAIDAS) University of Würzburg DE-97070 Würzburg, Germany +2

  17. Closure-Validated Circuit Discovery in Attention Heads: Co-activation Proposes, Ablation Disposes

    Jun 8, 2026Yongzhong XuTransformer InterpretabilityCircuit Discovery

  18. Alcmean's: Unsupervised community detection using local Laplacian, automatic detection of the number of centers

    Jun 8, 2026Shahin Momenzadeh, Rojiar Pir MohammadianiCluster Number EstimationClustering

    Department of Computer Engineering, University of Kurdistan, Sanandaj, Iran

  19. Orthogonality and Dimensionality in Airline Cluster Analysis using PCA and Kernel PCA

    Jun 6, 2026Andreas SchlapbachIntrinsic DimensionalityPrincipal Component Analysis

    Swiss Federal Railways (SBB), Switzerland

  20. Unsupervised Continual Clustering via Forward-Backward Knowledge Distillation

    Jun 5, 2026Mohammadreza Sadeghi, Sareh Soleimani, Zihan Wang +1ClusteringUnsupervised Clustering

    Department of Electrical and Computer Engineering, McGill University, Montreal, QC H3A 0E9, Canada · Mila – Quebec AI Institute, Montreal, QC H2S 3H1, Canada

  21. Sparse Functional Singular Value Decomposition for Biclustering and Triclustering Longitudinal Data

    Jun 3, 2026Yue Zhao, Thierry Chekouo, Sandra SafoFunctional Data AnalysisClustering

    Division of Biostatistics and Health Data Science University of Minnesota 2221 University Avenue SE2026 Minneapolis, MN 55414, United States

  22. UniFair: A unified fair clustering approach based on separation and compactness

    Jun 3, 2026Antonia Karra, Vasiliki Papanikou, Georgios Vardakas +2ClusteringAlgorithmic Fairness

    University of Ioannina, Greece · Archimedes/Athena Research Center, Greece

  23. Robust Multi-view Clustering against Imperfect Information

    Jun 3, 2026Zhichao Huang, Haochen Zhou, Hao Wang +2ClusteringMulti-View Learning

    College of Computer Science, Sichuan University, China. · School of Artificial Intelligence, Sichuan University, China. · Tianfu Jincheng Laboratory, Chengdu, China.

  24. Central Description Length (CDL) Clustering Validation Index

    Jun 2, 2026Mahdi Shamsi, Soosan BeheshtiMinimum Description LengthClustering

    Toronto Metropolitan University, 350 Victoria St., Toronto, Ontario M5B 2K3, Canada

  25. Semi-Supervised Hyperbolic Hierarchical Clustering with Set-Level Structural Priors

    Jun 1, 2026Junjing Zheng, Xinyu Zhang, Xiangfeng Qiu +2ClusteringHierarchical Clustering

    College of Electronic Science and Technology, National University of Defense Technology, Changsha 410073, China

  26. Agentic Clustering: Controllable Text Taxonomies via Multi-Agent Refinement

    May 31, 2026Simon Löwe, Emily SilcockMulti-Agent LLM SystemsClustering

    Burning Glass Institute · Harvard University

  27. PE-means: Improved Differentially Private kk-means Clustering through Private Evolution

    May 29, 2026Thomas Humphries, Zinan Lin, Sergey YekhaninClusteringPrivacy-Preserving ML

    University of Waterloo · Microsoft Research

  28. Cluster Analysis with Resampling for Validation and Exploration (CARVE)

    May 29, 2026Kai R. Wycik, Tiffany M. Tang, Tarek M. Zikry +1ClusteringScientific Reproducibility

    Department of Statistics, Columbia University, New York, NY, USA · Center for Theoretical Neuroscience, Zuckerman Mind Brain Behavior Institute, Columbia University, New York, NY, USA · Department of Applied and Computational Mathematics and Statistics, University of Notre Dame, Notre Dame, IN, USA +2

  29. ERICA: Quantifying Replicability of Cluster Analysis

    May 29, 2026Siamak K. Sorooshyari, Manuel A. Rivas, Robert TibshiraniClusteringML Reproducibility

    Department of Statistics Stanford University Stanford, CA 94305, USA · Department of Biomedical Data Science Stanford University Stanford, CA 94305, USA · Department of Statistics and Biomedical Data Science Stanford University Stanford, CA 94305, USA

  30. Mathematical Morphology in Machine Learning

    May 29, 2026Erick Oliveira Rodrigues, Aura ConciClustering

    ®Universidade Federal Fluminense