Clustering

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Period ending 2026-09-14

5 new papers

A weekly snapshot of new work published in Clustering.

Period ending 2026-09-07

2 new papers

A weekly snapshot of new work published in Clustering.

196 papers

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  1. A Spatiotemporal Extension of the Neuromorphic DBSCAN Implementation

    Sep 15, 2026Charles P. Rizzo, James S. PlankNeuromorphic HardwareClustering

  2. Exploring Second-Order Pattern Recognition in Speaker Recognition

    Sep 12, 2026Yanze Xu, Wenwu Wang, Mark D. PlumbleySpeaker IdentityRecognition

  3. Hierarchical Clustering Can Jointly Satisfy Richness, Consistency, and Scale Invariance

    Sep 11, 2026Daichi Kuroda, Maximilien Dreveton, Matthias Grossglauser +1ClusteringCluster

  4. Meta-Learning for Data-Efficient Plant Growth Estimation via Vision Transformers and Fuzzy Clustering

    Sep 9, 2026Sheikh Hasan Elahi, Rusith Chamara Hathurusinghe Dewage, Habib Ullah +3Few-Shot LearningMeta-Learning

  5. Exploring Bottom-Up Clustering for Creating Semantic IDs

    Sep 8, 2026Leah Woldemariam, Sudhanshu Garg, Taha Belkhouja +2Recommendation ArchitectureBottom-Up Framework

  6. CLUES-WEASEL: No additional clues required to choose your time series clustering algorithm

    Sep 7, 2026Johann FaouziTime-Series ClassificationClustering

  7. Selective Hypergraph Refinement for Frozen Graph Clustering

    Sep 3, 2026Zimo SiHypergraphsClustering

  8. Refining Heuristic-Based Bitcoin Address Clustering with Graph Neural Networks

    Sep 1, 2026Hugo Schnoering, Roman Bresson, Michalis VazirgiannisBlockchainClustering

  9. Sierpiński--Knopp Wasserstein Distance for Persistence Diagrams and Applications to 2-Wasserstein Approximation

    Sep 1, 2026Sebastien Tchitchek, Julien TiernyWasserstein DistancePersistent Homology

  10. Uncertainty-Aware Probabilistic Constrained Clustering from Entangled Pairwise Supervision

    Aug 12, 2026Shaojie Zhang, Ke ChenClusteringUncertainty-Aware Teachers

  11. Spectral graph clustering with inhomogeneous latent geometry

    Aug 11, 2026Konstantin Avrachenkov, Lucas S. Sibemberg, Alexander Van WerdeClusteringLatent Cluster Geometry

  12. Gromov-Wasserstein Quantization and Clustering: Structure, Rates, and Algorithms

    Aug 11, 2026Florian Beier, Stephan EcksteinGromov--WassersteinK$-Means

  13. Spectral Embeddings of Degree-α Laplacians in Random Dot Product Graphs

    Aug 11, 2026John Park, Ning HaoExponential Random Graph ModelsGraph Laplacians

  14. PolyLayout: Hierarchical VLM-Guided Layout Generation Beyond Rectangular Rooms

    Aug 11, 2026Yutong Jiang, Zahra Atashgahi, Carlos Soto Garcia Delgado +43D Layout GenerationLayouts

  15. Dynamic Clustering for Cross-Segment Permutation Alignment in Long Speech Separation

    Aug 10, 2026Yuzhu Wang, Archontis Politis, Konstantinos Drossos +1Speech SeparationAudio Classification

  16. Learning Deep Modality-Shared Self-Expressiveness for Image Clustering with Textual Information

    Aug 9, 2026Xianghan Meng, Wei He, Zhiyuan Huang +1Text ModalityClustering

  17. GRACE: LLM-Grounded Semantic Metric Spaces for Scalable Mixed-Data Clustering

    Aug 8, 2026Zihua Yang, Zhencheng Xie, Junyang Chen +4ClusteringCluster

  18. Density-aware Hierarchical Clustering Based on Element-Categorized Connection Subgraphs

    Aug 7, 2026Yuning Yu, José Rodríguez-Piñeiro, Xuefeng Yin +1ClusteringHierarchical

  19. Convergent Evolution in Neural Representation Space: Emergent Order in Deep Belief Networks

    Aug 6, 2026Patrick Krauss, Achim Schilling, Andreas Maier +2Deep Neural NetworkUnsupervised

  20. Beyond Feature Importance: A Comparative Analysis of Pattern Detection Methods in Cluster Interpretation

    Aug 6, 2026Benjamin Connor, Anna Jurek-Loughrey, Lu Bai +1Feature ImportanceClustering

  21. Learning and Clustering on Temporal Graphs: Principles, Primitives, and Pooling

    Aug 4, 2026Nelson Aloysio Reis de Almeida Passos, Emanuele Carlini, Salvatore TraniTemporal Graph Neural NetworksGraph Learning

  22. Accelerating Dynamic Graph Clustering on GPU Architectures with cuGraph

    Aug 4, 2026Nelson Aloysio Reis de Almeida Passos, Emanuele Carlini, Salvatore TraniTemporal Graph Neural NetworksClustering

  23. Beyond Average Performance: Dynamic Instance Clustering and Specialized Algorithm Design in LLM-Assisted Evolutionary Search

    Aug 4, 2026Qinglong Hu, Qingfu Zhang, Fei Liu +3Evolutionary SearchClustering

  24. Self-Supervised Representations for Binary Program Clustering: From Empirical Study to Retrieval-Augmented Learning

    Aug 3, 2026Martin Mocko, Daniela ChudáMalware ClassificationClustering

  25. Ensemble of Unsupervised Deep Learning for Clustering Imbalanced Tabular Data

    Jul 31, 2026Pulock Das, Yina Hou, Md. Kamrozzaman Bhuiyan +1Extreme Class ImbalanceClustering

  26. Encryption-Compatible Clustered Federated Learning via Distributed Expectation-Maximization over Metadata

    Jul 30, 2026Michael Ben Ali, Imen Megdiche, André Péninou +1Robust Federated LearningOne-Shot Federated Learning

  27. Wiring diagram extraction and gluing: a case study in classifying figure skating jumps using 3D dataset

    Jul 30, 2026Jason Lo, Mohammadnima JafariClusteringUnsupervised

  28. An Informativeness-based Clustered Federated Learning Method for Reliable Traffic Prediction in Managed Wi-Fi Networks

    Jul 29, 2026Luca Barbieri, Gianluca Fontanesi, Lorenzo Galati Giordano +2One-Shot Federated LearningRobust Federated Learning

  29. Breaking the Periodicity Assumption: Robust Tensorial Multi-View Clustering via Graph-Spectral Low-Rank Learning

    Jul 28, 2026Jintian Ji, Xingsu Li, Songhe FengLow-Rank Tensor DecompositionClustering

  30. When Does Deep Representation Learning Help Single-Cell Clustering? A Sensitivity-Aware Diagnostic Benchmark for Biomedical AI Pipelines

    Jul 28, 2026Nguyen Thanh Phong, Truong Viet Vu, Nguyen Ha Thu +4Single-Cell RnaClustering

  31. Lloyd's K-Means Clustering Algorithm Is Frank-Wolfe in Disguise

    Jul 28, 2026Michael Pokojovy, J. Marcus Jobe, Simon Lacoste-JulienK$-MeansClustering

  32. A Foundational Perspective for Partitional Clustering on Networks

    Jul 27, 2026Derya Ipek Eroglu, Cem IyigunClusteringSemantic Similarity Metrics

  33. Semantic Space Search Trajectory Networks

    Jul 27, 2026Julian Agudelo, Alberto Tonda, Gabriela Ochoa +3Artificial Neural NetworksClustering

  34. The K-SCAN Clustering Algorithm

    Jul 27, 2026Filip Kosiorowski, Grzegorz SrokaClustering

  35. K-Survival Means

    Jul 27, 2026Abdallah AlabdallahClusteringSurvival Predictions

  36. Why does Greedy Search produce Optimal Clustering Outcomes? A Fixed-Core Assignment Theory

    Jul 27, 2026Kaifeng Zhang, Kai Ming Ting, Sanjay ChawlaClusteringHyperspherical Embedding Geometry

  37. External Clustering Validation by the Homogeneity-Parsimony Trade-off

    Jul 22, 2026Andreas Tiffeau-MayerClusteringScore Function

  38. Efficient Clustering with Provable Guardrails for LLM Inference at Scale

    Jul 22, 2026Longshaokan Wang, Wai Tsang Keung, Punit Ghodasara +3ClusteringLLM Inference Efficiency

  39. SCPP: A Unified Python Library for Soft Clustering

    Jul 21, 2026Kiyan Rezaee, Morteza Ziabakhsh, Artin Bahrampour +6ClusteringMachine Learning Framework

  40. Unsupervised Multi-kernel Learning for Automated Algorithm Selection

    Jul 21, 2026Yihang Lu, Tome Eftimov, Carola DoerrBlack-Box OptimizationParticle Swarm Optimization

  41. COVAriance-Induced Fairness Gap Penalty for Subgroup-Fair Clustering

    Jul 20, 2026Kyungseon Lee, Hankyo Jeong, Kunwoong Kim +2Subgroup InformationFairness-Aware Learning

  42. MIS-HCC: Hierarchical Channel Clustering for Efficient Medical Image Segmentation

    Jul 19, 2026Bo Zhao, Haoran Yu, Lifei Liu +5Medical Image SegmentationConvolutional Neural Network Compression

  43. Cluster-Aware Matching via Laplacian Optimal Transport

    Jul 17, 2026Gabriel Samberg, YoonHaeng Hur, Yuehaw Khoo +1Point Cloud RegistrationClustering

  44. Data-Native Global Optimization for Big Data K-means Clustering

    Jul 17, 2026Ravil Mussabayev, Rustam Mussabayev, Zukhra Yerdaliyeva +1K$-MeansClustering

  45. Measuring Spatial Clustering via Metropolis-Hastings Diffusion Distance

    Jul 16, 2026Thomas Weighill, Chidinma WilliamsSpatio-Temporal CorrelationsDistance

  46. Counterfactuals for Feature-Weighted Clustering

    Jul 16, 2026Richard J. Fawley, Renato Cordeiro de AmorimClusteringCounterfactual Explanation

  47. Clustering algorithms for multivariate wind farm SCADA data filtering

    Jul 15, 2026Nicolò Italiano, Vasilis Pettas, Tuhfe Göçmen +1Offshore Wind TurbineClustering

  48. EMAGN: Efficient Multi-Attention Graph Network via Learned Clustering for Scalable Traffic Forecasting

    Jul 14, 2026Mingxing Xu, Rakesh Chowdary Machineni, Ke Liu +7Multi-View Gated Graph Attention NetworkAccurate Traffic Forecasting

  49. Hierarchical \mathcal{F}-Clustering: Approximation and Hardness of Clustering into Trees and Bounded Diameter Graphs

    Jul 14, 2026Michał Szyfelbein, Dariusz DereniowskiClusteringApproximation Algorithms

  50. Deployable Human Preference Alignment in Robotics: Learning Representative Rewards from Diverse Human Preferences

    Jul 14, 2026Taehyung Kim, Gwangmo Lee, Minjun Chang +2Preference AlignmentRobot Policies

  51. Beyond Looking Up, Try Looking Around: Harmonizing Global Structure and Local Consistency in Optimal Transport for Short Text Clustering

    Jul 12, 2026Zhihao Yao, Yuxuan Gu, Jixuan Yin +1ClusteringPseudo-Labeling

  52. SPORT: Structure-Aware Prototype Disentanglement for Incomplete Multi-View Clustering

    Jul 11, 2026Yaoyuan Guo, Zhibin Gu, Songhe Feng +2Multi-ViewLearnable Prototypes

  53. Performance Benchmarking and Optimisation of Clustering Algorithms for Local and Non-Local Similarity Measure in Medical Image Analysis

    Jul 10, 2026Sisipho Hamlomo, Marcellin AtemkengClusteringMedical Imaging

  54. Structure Learning on Clustered Data

    Jul 9, 2026Ryan Thompson, Matt P. Wand, Veerabhadran BaladandayuthapaniCausal DiscoveryClustering

  55. Equivariant Quantum Clustering with Differential Privacy: Parameter-Efficient Privacy-Preserving Analysis Across Heterogeneous Sensitive Datasets

    Jul 9, 2026B. M. Taslimul Haq, Md Arifur Rahman, Tawfiq Al Islam Foysal +2Differential PrivacyPrivacy-Preserving Framework

  56. A Multi-cluster Boundary Learning Method for Out-of-Scope Intent Detection via MiniLM Embedding

    Jul 8, 2026Yihong Xu, Mingyu Kang, Linyuan LüOut-Of-Domain GeneralizationClustering

  57. FMMVCC: Fuzzy Mamba-based Multi-View Contrastive Clustering for Univariate Time Series

    Jul 8, 2026Donato Cerciello, Leonardo Schiavo, Angel Panizo-LLedot +2Time-Series ClassificationTime Series

  58. `Attention-Guided Cross-Temporal Clustering for Self-Supervised Video Object Segmentation

    Jul 8, 2026Waqas Arshid, Mohammad Awrangjeb, Alan Wee-Chung Liew +1Video Object SegmentationSelf-Supervised Learning

  59. Imputation Meets Clustering: Exploiting Latent Subgroup Structure for Missing Data Recovery

    Jul 8, 2026Chuyao Zhang, E Li, Taochen Chen +5Data ImputationImputation

  60. Converge to Surprise: Evolutionary Self-supervised Image Clustering

    Jul 8, 2026Canlin Zhang, Xiuwen LiuClusteringDeep Learning Models