Unsupervised Clustering

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11 papers in the last four weeks, against 2 the four weeks before. 0.1% of all new papers.

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Leaner Transformers Can Easily Learn to Cluster
Oct 7, 2026Charlotte Park, Kenneth L. Clarkson, Lior Horesh +2Transformer Clustering
MIT · IBM Research
Simulating Synchrony Loop Networks in the Open Source RISP Neuroprocessor
Sep 29, 2026Jackson Mowry, Patrick AbbsUnsupervised Clustering Spiking Neural Networks
EECS Department University of Tennessee Knoxville, TN USA · Cambrya, Inc. Austin, TX USA
Selective Inference for Deep Clustering in Latent Spaces
Sep 23, 2026Eina Mizui, Tomohiro Shiraishi, Shunichi Nishino +1Selective Inference Clustering
Nagoya University · RIKEN
Automatic depth-based local center clustering via $β$ -integrated local depth and adaptive grouping
Sep 22, 2026Siyi Wang, Alexandre Leblanc, Paul D. McNicholasClustering Hierarchical Clustering
Multi-View Fair Clustering Guided by Cross-View Sensitive Information Discrepancy
Sep 22, 2026Mudi Jiang, Jiahui Zhou, Xinying Liu +2Multi-View Learning Unsupervised Clustering
School of Software, Dalian University of Technology, Dalian, Liaoning, China
G-NAC: Graph Neural Automata Clustering via Emergent Domain Formation
Sep 21, 2026Keith Miller, Tristan CrawfordGraph Neural Networks Unsupervised Clustering
RAILS: Retrieval-Augmented Incremental LLM Clustering at Scale
Sep 21, 2026Armin Oliya, Aleksandra Sawczuk, Radosław BiałobrzeskiClustering Unsupervised Clustering
Zendesk
Bracketing Uncertainty in Clustering Under the Manifold Hypothesis
Sep 15, 2026Savik Kinger, Luciano Dyballa, Steven W. ZuckerClustering Unsupervised Clustering
Department of Computer Science Yale University · School of Science & Technology IE University · Depts. of Computer Science and Biomedical Engineering Wu Tsai Institute Yale University
InfoTaxa: Information-Calibrated Label-Free Clustering for Fine-Grained Visual Taxonomy
Sep 15, 2026David Ahmedt-Aristizabal, Mohammad Ali Armin, Lars PeterssonVisual Representation Learning Clustering
Imaging and Computer Vision Group, CSIRO, Australia
Copula Adapted Directed Acyclic Graph for Cluster Representation of Biomedical Data
Sep 14, 2026Heranga K. Rathnasekara, Norou Diawara, Manar D. SamadCopula Models Unsupervised Clustering
Department of Mathematics and Statistics Old Dominion University, Norfolk, VA 23529, USA · Department of Computer Science North Carolina Agricultural and Technical State University Greensboro, NC 27411, USA
From Repetition to Recognition: Inductive Discovery of Disinformation Narratives
Sep 11, 2026Max Upravitelev, Veronika Solopova, Jing Yang +4Unsupervised Clustering
Technische Universität Berlin · German Research Center for Artificial Intelligence (DFKI) · BIFOLD – Berlin Institute for the Foundations of Learning and Data +2
CLUES-WEASEL: No additional clues required to choose your time series clustering algorithm
Sep 7, 2026Johann FaouziClustering Unsupervised Clustering
Univ Rennes, Ensai, CNRS, CREST - UMR 9194, F-35000 Rennes, France.
Cluster Assignments in Soft Targets Shape Speech Representations: Evidence from S-JEPA
Aug 19, 2026Wenxuan He, Yunpeng Li, Zewei Li +4Soft-Label Learning Unsupervised Clustering
Department of Intelligent Science, School of Advanced Technology, Xi’an Jiaotong-Liverpool University, Suzhou, China
Uncertainty-Aware Probabilistic Constrained Clustering from Entangled Pairwise Supervision
Aug 12, 2026Shaojie Zhang, Ke ChenClustering Unsupervised Clustering
Department of Computer Science, The University of Manchester, Manchester M13 9PL, U.K.
Multi-kernel spectral clustering: Entrywise eigenvector perturbation bounds and exact recovery
Aug 9, 2026Zeqin Lin, Guangming Pan, Zhixiang Zhang +1Clustering Unsupervised Clustering
1Nanyang Technological University · University of Macau · 3Dalian University of Technology
GRACE: LLM-Grounded Semantic Metric Spaces for Scalable Mixed-Data Clustering
Aug 8, 2026Zihua Yang, Zhencheng Xie, Junyang Chen +4Clustering Unsupervised Clustering
Guangdong University of Technology · Tsinghua University · Peking University +2
Convergent Evolution in Neural Representation Space: Emergent Order in Deep Belief Networks
Aug 6, 2026Patrick Krauss, Achim Schilling, Andreas Maier +2Representation Geometry Hierarchical Representation Learning
Cognitive Computational Neuroscience Group, Pattern Recognition Lab, Friedrich-Alexander-University Erlangen-Nürnberg (FAU), Germany · Neuromodulation and Neuroprosthetics, University Hospital Mannheim, University Heidelberg, Germany · Neuroscience Lab, University Hospital Erlangen, Germany +1
Beyond Feature Importance: A Comparative Analysis of Pattern Detection Methods in Cluster Interpretation
Aug 6, 2026Benjamin Connor, Anna Jurek-Loughrey, Lu Bai +1Clustering Unsupervised Clustering
School of EEECS Queen’s University Belfast 18 Malone Road, Belfast, BT9 5AF
Ensemble of Unsupervised Deep Learning for Clustering Imbalanced Tabular Data
Jul 31, 2026Pulock Das, Yina Hou, Md. Kamrozzaman Bhuiyan +1Class-Imbalanced Learning Clustering
Department of Computer Science Tennessee State University Nashville, TN, USA · Enosis Solutions Dhaka, Bangladesh · Department of Computer Science North Carolina A&T State University Greensboro, NC, USA
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 +4Representation Learning Clustering
Faculty of Information Technology, Van Lang School of Technology, Van Lang University, Ho Chi Minh City, Vietnam · Faculty of Law, Van Lang University, Ho Chi Minh City, Vietnam
Lloyd's $K$ -Means Clustering Algorithm Is Frank-Wolfe in Disguise
Jul 28, 2026Michael Pokojovy, J. Marcus Jobe, Simon Lacoste-JulienClustering Unsupervised Clustering
Department of Mathematics & Statistics and School of Data Science Old Dominion University Norfolk, VA 23529, USA · Information Systems & Analytics Department Miami University Oxford, OH 45056, USA · Canada CIFAR AI Chair Department of Computer Science and Operations Research & Mila Université de Montréal Montréal (QC) Canada
The K-SCAN Clustering Algorithm
Jul 27, 2026Filip Kosiorowski, Grzegorz SrokaClustering Unsupervised Clustering
The Faculty of Mathematics and Applied Physics, Rzeszów University of Technology, Powstańców Warszawy 12, 35-959 Rzeszów, Poland · Department of Analysis Nonlinear, Rzeszów University of Technology, Powstańców Warszawy 12, 35-959 Rzeszów, Poland
Why does Greedy Search produce Optimal Clustering Outcomes? A Fixed-Core Assignment Theory
Jul 27, 2026Kaifeng Zhang, Kai Ming Ting, Sanjay ChawlaClustering Unsupervised Clustering
School of Artificial Intelligence Nanjing University, China · Qatar Computing Research Institute, HBKU
SCPP: A Unified Python Library for Soft Clustering
Jul 21, 2026Kiyan Rezaee, Morteza Ziabakhsh, Artin Bahrampour +6Clustering Unsupervised Clustering
An unsupervised clustering analysis of breast cancer data derived from electronic health records enhanced through UMAP dimensionality reduction
Jul 21, 2026Davide Chicco, Nicoletta BenvenutoBreast Cancer Clustering
Dipartimento di Informatica Sistemistica e Comunicazione, Universit`a di Milano-Bicocca, Milan, Italy. · Institute of Health Policy Management and Evaluation, University of Toronto, Toronto, Ontario, Canada.
Unsupervised Multi-kernel Learning for Automated Algorithm Selection
Jul 21, 2026Yihang Lu, Tome Eftimov, Carola DoerrBlack-Box Optimization Unsupervised Clustering
Sorbonne Université, CNRS, INRAE, IRD, iEES, Paris, France · LIP6, Sorbonne Université, CNRS, Paris, France · Computer Systems Department, Jožef Stefan Institute, Ljubljana, Slovenia
Data-Native Global Optimization for Big Data K-means Clustering
Jul 17, 2026Ravil Mussabayev, Rustam Mussabayev, Zukhra Yerdaliyeva +1Clustering Unsupervised Clustering
AI Research Lab, Satbayev University, Almaty, 050000, Kazakhstan · Laboratory for Analysis and Modeling of Information Processes, Institute of Information and Computational Technologies, Almaty, 050010, Kazakhstan
A novel unsupervised machine learning strategy to handle multimodal cardiac PET/MRI data
Jul 15, 2026Brunnhilde Ponsi, Thomas Carlier, Lara Marteau +5Medical Imaging Medical Image Anomaly Detection
Nantes Université, CHU Nantes, Nantes, France · CRCI2NA, INSERM UMR 1307, Nantes, France · Nantes Université, CHU Nantes, F-44000 Nantes, France +5
FastCentNN: Accelerating Centroid Neural Network with Entropy Proxy
Jul 15, 2026Le-Anh TranNeural Network Optimization Unsupervised Clustering
Clustering algorithms for multivariate wind farm SCADA data filtering
Jul 15, 2026Nicolò Italiano, Vasilis Pettas, Tuhfe Göçmen +1Unsupervised Clustering Unsupervised Anomaly Detection
Department of Wind and Energy Systems, Technical University of Denmark, Frederiksborgvej 399, Roskilde, 4000, Denmark

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Leaner Transformers Can Easily Learn to Cluster

Charlotte Park, Kenneth L. Clarkson, Lior Horesh, Takuya Ito+1

MIT · IBM Research

Transformer Clustering In-Context Learning Unsupervised Clustering

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Transformers have in-context learning capabilities, where some known learning algorithms can be executed in the forward pass through the model. Recent work shows that transformers can exactly perform Lloyd's algorithm for

k

-means clustering with

n

points in

d

dimensions with an embedding size

d_{\textsf{emb}} = d+k

(thus, requiring attention projection matrices of size

(d+k)^2

). In this work, we build upon this result in the following ways: First, we present an equally expressive but smaller transformer that executes Lloyd's algorithm with embedding size

d_{\textsf{emb}} = (d + \lceil \log_2 k \rceil)

. Next, we train these transformers to learn the clustering algorithms given a distribution of clustering tasks, and theoretically characterize and empirically validate the factors affecting the convergence and in-distribution generalization of learning algorithms based on stochastic gradients. Finally, we probe the general clustering abilities of these learned algorithms (in the form of transformers), and try to understand situations where they succeed and fail.

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