Overview

Hierarchical clustering builds nested groups, often represented as a tree, so users can inspect structure at different levels rather than choose only one flat partition. Common approaches include agglomerative methods such as single, average, and Ward linkage, divisive methods, and graph- or density-based methods that use connectivity to handle irregular shapes and outliers. Current work also learns merge rules for tasks such as phylogenetics and vision, constructs hierarchies in hyperbolic space, and studies guarantees for fairness, approximation, and selecting cuts from a tree. A central tension is that methods must balance meaningful, robust clusters and useful multiscale structure against computational cost, parameter sensitivity, and the difficulty of choosing the right hierarchy or cut for a task.

Latest papers

CardsList

28 papers6 papers in the last four weeks, against 2 the four weeks before. 0.0% of all new papers.

  1. GLOW: General Linear Models Optimized with Ward's Method

    Oct 16, 2026Matt HiggerNeuroimagingHierarchical Clustering

  2. Algorithmically Aligned Neural Agglomerative Tree Construction

    Oct 5, 2026Robert R Nerem, Pranav Singh, Cheyenne Ward +1ClusteringHierarchical Clustering

  3. Round-Trip KNN Clustering: multiscale hierarchical cluster detection on directed nearest-neighbour graphs

    Oct 5, 2026Eraldo Pereira Marinho, Caetano Mazzoni Ranieri, Fabricio Aparecido BreveClusteringHierarchical Clustering

  4. Interrelating Fruchterman-Reingold Graph Visualization and Agglomerative Clustering

    Sep 28, 2026Alexandre Benatti, Luciano da F. CostaScientific VisualizationHierarchical Clustering

  5. Hierarchical Clustering and Signal Denoising on Digraphs

    Sep 28, 2026Yi Wang, Sippanon Kitimoon, Hrushikesh N. Mhaskar +1Graph Signal ProcessingHierarchical Clustering

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

    Sep 10, 2026Daichi Kuroda, Maximilien Dreveton, Matthias Grossglauser +1ClusteringHierarchical Clustering

  7. Individual Fairness in Hierarchical Clustering

    Aug 26, 2026Binita Maity, Shrutimoy DasHierarchical ClusteringAlgorithmic Fairness

  8. Hyperbolic Hierarchical Clustering for Visual Representation Learning

    Aug 24, 2026Jianan Wei, Guikun Chen, Zhiyuan Weng +3Visual Representation LearningVision Transformer

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

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

  10. Graph Partitioning with Demands: Generalized Conductance and its Applications

    Jul 14, 2026Michał Szyfelbein, Dariusz DereniowskiHierarchical ClusteringApproximation Algorithms

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

    Jul 10, 2026Sisipho Hamlomo, Marcellin AtemkengMedical Image AnalysisClustering

  12. Term-Centric Hierarchy Induction from Heterogeneous Corpora

    Jun 25, 2026Elena Senger, Yuri Campbell, Jan-Peter Bergmann +2ClusteringHierarchical Clustering

  13. 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

  14. Recovering the Zipfian Distribution in Unsupervised Term Discovery

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

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

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

  16. Score-Agnostic Structure Analysis in Large-Scale Performance Datasets

    May 25, 2026Patricia Hu, Silvan Peter, Gerhard WidmerHierarchical ClusteringMusic Information Retrieval

  17. Unsupervised clustering and classification of upper limb EMG signals during functional movements: a data-driven

    May 20, 2026L. F. Salazar Álvarez, D. Escobar-Saltarén, M. B. Salazar Sánchez +1EMG-Based Gesture RecognitionClustering

  18. Classification Fields: Arbitrarily Fine Recursive Hierarchical Clustering From Few Examples

    May 8, 2026Yicen Li, Ruiyang Hong, Anastasis Kratsios +2Hierarchical ClassificationClustering

  19. Characterizing Admissible Objective Functions for Hierarchical Clustering

    Apr 26, 2026Ryuki Tsukuba, Kazutoshi AndoClusteringHierarchical Clustering

  20. Explainable AI in Speaker Recognition -- Making Latent Representations Understandable

    Apr 25, 2026Yanze Xu, Wenwu Wang, Mark D. PlumbleyClusteringHierarchical Clustering

  21. Lumbermark: Resistant Clustering by Chopping Up Mutual Reachability Minimum Spanning Trees

    Apr 8, 2026Marek GagolewskiDensity-Based ClusteringClustering

  22. Estimating Staged Event Tree Models via Hierarchical Clustering on the Simplex

    Mar 16, 2026Muhammad Shoaib, Eva Riccomagno, Manuele Leonelli +1Bayesian NetworksHierarchical Clustering

  23. Federated Hierarchical Clustering with Automatic Selection of Optimal Cluster Numbers

    Mar 13, 2026Yue Zhang, Chuanlong Qiu, Xinfa Liao +1Cluster Number EstimationClustering

  24. HBRB-BoW: A Retrained Bag-of-Words Vocabulary for ORB-SLAM via Hierarchical BRB-KMeans

    Mar 4, 2026Minjae Lee, Sang-Min Choi, Gun-Woo Kim +1Simultaneous Localization and MappingHierarchical Clustering

  25. Superpixel-Based Image Segmentation Using Squared 2-Wasserstein Distances

    Jan 22, 2026Jisui Huang, Andreas Alpers, Ke Chen +1Superpixel SegmentationImage Segmentation