Image Clustering

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Period ending 2026-09-21

3 new papers

A weekly snapshot of new work published in Image Clustering.

Period ending 2026-09-14

6 new papers

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Period ending 2026-09-07

5 new papers

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191 papers

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  1. G-NAC: Graph Neural Automata Clustering via Emergent Domain Formation

    Sep 21, 2026Keith Miller, Tristan CrawfordImage Clustering

  2. Randomized SVD Approximations for Spectral Co-Clustering of Word-Document Matrices

    Sep 16, 2026Fateme Mazdarani, Carlos ToxtliSingular Value DecompositionImage Clustering

  3. Federated Soft Clustering via Generalized Total Variation Minimization

    Sep 16, 2026Shamsiiat Abdurakhmanova, Alexander JungImage ClusteringGaussian Mixture Models

  4. Copula Adapted Directed Acyclic Graph for Cluster Representation of Biomedical Data

    Sep 14, 2026Heranga K. Rathnasekara, Norou Diawara, Manar D. SamadCausal Foundation ModelsK-Means

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

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

  6. 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 +3Apple Tree Leaf Disease Segmentation DatasetFew-Shot Learning

  7. Exploring Bottom-Up Clustering for Creating Semantic IDs

    Sep 8, 2026Leah Woldemariam, Sudhanshu Garg, Taha Belkhouja +2Bottom-Up FrameworkImage Clustering

  8. A Sub-4 Approximation for Fair k-Means

    Sep 7, 2026Kangke Cheng, Guanlin Mo, Shihong Song +1K-MeansApproximation Algorithms

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

    Sep 7, 2026Johann FaouziTime-Series ClassificationImage Clustering

  10. Selective Hypergraph Refinement for Frozen Graph Clustering

    Sep 3, 2026Zimo SiHypergraphsImage Clustering

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

    Sep 1, 2026Sebastien Tchitchek, Julien TiernyWasserstein DistancePersistent Homology

  12. DK-GBMKKM: Dynamic Kernel-Space Granular-Ball Multiple Kernel k-Means Clustering

    Sep 1, 2026Xiaoyu Lian, Yuchao Zhang, Shuyin Xia +2Granular-Ball ComputingK-Means

  13. Stochastic complexity of vectors containing cluster structure

    Aug 31, 2026Daniel Nicorici, Olli Yli-Harja, Jaakko AstolaCluster StructureMaximum Likelihood

  14. PRQ-KMeans: Projection Residual Quantization for Semantic ID Tokenization

    Aug 25, 2026Yunxiao Luo, Siyuan Wang, Ben Chen +2TokenizationK-Means

  15. Decision Tree and K-Means Analysis of Raman Spectra for Edible Oils: A Physics-Informed AI Approach

    Aug 20, 2026Amrita Shaw, Chandrasekar S. N., Sai Muthukumar V. +2Non-Destructive Frying Oil Oxidation AssessmentRaman

  16. Multi-perspective Imbalance-Conscious 6G Beamforming Optimization and Performance

    Aug 13, 2026Chukwunonso Henry Nwokoye, Blessing Oluchi Iloka, Chikwue V. Umeugoji +2BeamformingMachine Learning

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

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

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

    Aug 11, 2026John Park, Ning HaoGraph LaplaciansImage Clustering

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

    Aug 10, 2026Yuzhu Wang, Archontis Politis, Konstantinos Drossos +1Speech SeparationFeature Alignment

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

    Aug 9, 2026Xianghan Meng, Wei He, Zhiyuan Huang +1Image Clustering

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

    Aug 8, 2026Zihua Yang, Zhencheng Xie, Junyang Chen +4Cluster StructureTabular Learning

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

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

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

    Aug 6, 2026Patrick Krauss, Achim Schilling, Andreas Maier +2Modern Deep NetworksUnsupervised

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

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

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

    Aug 4, 2026Nelson Aloysio Reis de Almeida Passos, Emanuele Carlini, Salvatore TraniTemporal GraphsGraph Neural Networks

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

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

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

    Aug 3, 2026Martin Mocko, Daniela ChudáMalware DetectionImage Clustering

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

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

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

    Jul 30, 2026Michael Ben Ali, Imen Megdiche, André Péninou +1Federated LearningImage Clustering

  30. Using large language models to probe the limits of atom-centered structural descriptors

    Jul 29, 2026Michelangelo Domina, Michele CeriottiAtomsMolecular Property Prediction

  31. Randomizing the Number of Centers in k-means++

    Jul 28, 2026Vaclav RozhonK-MeansApproximation Algorithms

  32. 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 Rna SequencingImage Clustering

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

    Jul 28, 2026Michael Pokojovy, J. Marcus Jobe, Simon Lacoste-JulienK-MeansGaussian Mixture Models

  34. A Foundational Perspective for Partitional Clustering on Networks

    Jul 27, 2026Derya Ipek Eroglu, Cem IyigunImage ClusteringSemantic Similarity Metrics

  35. Semantic Space Search Trajectory Networks

    Jul 27, 2026Julian Agudelo, Alberto Tonda, Gabriela Ochoa +3Spatial RepresentationImage Clustering

  36. The K-SCAN Clustering Algorithm

    Jul 27, 2026Filip Kosiorowski, Grzegorz SrokaImage ClusteringK-Means

  37. K-Survival Means

    Jul 27, 2026Abdallah AlabdallahSurvival PredictionsSurvival Analysis

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

    Jul 27, 2026Kaifeng Zhang, Kai Ming Ting, Sanjay ChawlaImage ClusteringManifold Learning Method

  39. DECAF: De-Clustering for Adaptive Representational Unlearning

    Jul 27, 2026Anjie Le, Can Peng, Hongcheng Guo +1Machine UnlearningSeveral Approximate Unlearning Strategies

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

    Jul 22, 2026Andreas Tiffeau-MayerImage ClusteringCross Validation

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

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

  42. SCPP: A Unified Python Library for Soft Clustering

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

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

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

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

    Jul 19, 2026Bo Zhao, Haoran Yu, Lifei Liu +5Medical Image SegmentationImage Clustering

  45. Cluster-Aware Matching via Laplacian Optimal Transport

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

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

    Jul 17, 2026Ravil Mussabayev, Rustam Mussabayev, Zukhra Yerdaliyeva +1K-MeansImage Clustering

  47. Quantifying Training Membership Information in the Hyperspherical Embedding Geometry of Face Recognition Models

    Jul 16, 2026Ünsal Öztürk, Sébastien MarcelFacial RecognitionMembership Inference

  48. Counterfactuals for Feature-Weighted Clustering

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

  49. FastCentNN: Accelerating Centroid Neural Network with Entropy Proxy

    Jul 15, 2026Le-Anh TranImage ClusteringSparse Deep Neural Network Accelerators

  50. Clustering algorithms for multivariate wind farm SCADA data filtering

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

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

    Jul 14, 2026Mingxing Xu, Rakesh Chowdary Machineni, Ke Liu +7Accurate Traffic ForecastingHeterogeneous Graph Transformers

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

    Jul 14, 2026Michał Szyfelbein, Dariusz DereniowskiImage ClusteringApproximation Algorithms

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

    Jul 14, 2026Taehyung Kim, Gwangmo Lee, Minjun Chang +2Robot PoliciesRobotics

  54. 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 +1Pseudo-LabelingCluster Structure

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

    Jul 10, 2026Sisipho Hamlomo, Marcellin AtemkengImage ClusteringMedical Imaging

  56. An interpretable Good--Turing restart criterion for k-means++

    Jul 9, 2026Renato Cordeiro de AmorimK-MeansTop-K

  57. Structure Learning on Clustered Data

    Jul 9, 2026Ryan Thompson, Matt P. Wand, Veerabhadran BaladandayuthapaniCluster StructureGraph Representation Learning

  58. 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 GeneralizationGlobal Embeddings

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

    Jul 8, 2026Canlin Zhang, Xiuwen LiuImage ClusteringCluster Structure

  60. Few-Medoids: An Embarrassingly Simple Coreset Selection Method for Few-Shot Knowledge Distillation

    Jul 7, 2026Cemil-Andrei Dilmac, Florinel-Alin Croitoru, Radu Tudor IonescuGeometry-Aware Uncertainty CoresetsKnowledge Distillation