Algorithm AS 136: A K-Means Clustering Algorithm

J. A. Hartigan; M. A. Wong

doi:10.2307/2346830

journal article Jan 01, 1979

Algorithm AS 136: A K-Means Clustering Algorithm

Journal of the Royal Statistical Society Series C: Applied Statistics Vol. 28 No. 1 pp. 100 · Oxford University Press (OUP)

View at Publisher Save 10.2307/2346830

Topics

No keywords indexed for this article. Browse by subject →

Cited By

7,644

Enhancing the Identification of Impact‐Induced Ring and Radial Geological Structures Around Lunar Multi‐Ring Basins From GRAIL Data

Runze Fu, Jie Yan · 2026

Journal of Geophysical Research: Pl...

Market Segmentation Using a PSO-Based Multivariate Fuzzy Weighted Fuzzy K -Modes Algorithm with Probabilistic Distance

R. J. Kuo, Maya Cendana · 2026

International Journal of Uncertaint...

Artificial Intelligence‐Based Analysis of Central Nervous System Vasculopathy in Pediatric Sickle Cell Anemia

Meredith E. Fay, Raghav Tandon · 2026

American Journal of Hematology

Genetic diversity and heterotic grouping of newly developed tropical maize inbred lines employing multivariate clustering approaches and combining ability estimates

Udaya Shetty, Muntagodu Shreekanth Sowmya · 2026

The Nucleus

Turkiye’s Double Taxation Treaties: Cluster Analysis

Ayse Nil Tosun · 2026

Contemporary Economics

Data clustering: a fundamental method in data science and management

Tai Dinh, Hauchi Wong · 2026

Data Science and Management

Mixed Layer Depth Estimation From Multisource Remote Sensing Data Using Clustering-Machine Learning Method

Zengxin Guan, Kaijun Ren · 2025

IEEE Journal of Selected Topics in...

Multivariate analyses of Aurignacian and Gravettian personal ornaments support cultural continuity in the Early Upper Palaeolithic

Francesco d’Errico, Jack Baker · 2025

PLoS ONE

The importance of e-purchase types: exploring economic and digital influence in the EU

Natalia Grishchenko · 2025

Electronic Commerce Research

Biogeochemical float deployment strategy in the Southwestern Indian ocean

Wilhem Riom, Vincent Taillandier · 2025

Deep Sea Research Part II: Topical...

TableDC: Deep Clustering for Tabular Data

Hafiz Tayyab Rauf, Andre Freitas · 2025

Proceedings of the ACM on Managemen...

Text-driven adaptation of foundation models for few-shot surgical workflow analysis

Tingxuan Chen, Kun Yuan · 2025

International Journal of Computer A...

Mining Solid-State Electrolytes from Metal–Organic Framework Databases through Large Language Models and Representation Clustering

Jinglang Zhang, Jiaxin Li · 2025

Journal of the American Chemical So...

Integrating Multiple Clustering Techniques and Performance Measures via Ranking for scRNA‐Seq Data

Owen Visser, Somnath Datta · 2025

Statistics in Medicine

Revisiting Computing Paradigm for Partitional Clustering Analysis and Recommendations

Hakam Singh, Yugal Kumar · 2025

Annals of Data Science

Privacy as Social Norm: Systematically Reducing Dysfunctional Privacy Concerns on Social Media

Jaewon Kim, Soobin Cho · 2025

Proceedings of the ACM on Human-Com...

Eukaryotic Plankton Exhibit High Community Connectivity in the Indo‐Pacific Convergence Zone Across Tropical and Subtropical Oceans

Longzhao Li, Feng Zhao · 2025

Journal of Biogeography

Unmasking the Internet: A Survey of Fine-Grained Network Traffic Analysis

Yebo Feng, Jun Li · 2025

IEEE Communications Surveys & T...

An Improved Framework for Drug-Side Effect Associations Prediction via Counterfactual Inference-Based Data Augmentation

Wenjie Yao, Ankang Wei · 2024

IEEE Transactions on NanoBioscience

Contrastive Multi-View Learning for 3D Shape Clustering

Bo Peng, Guoting Lin · 2024

IEEE Transactions on Multimedia

Metrics

7,644

Citations

0

References

Details

Published: Jan 01, 1979
Vol/Issue: 28(1)
Pages: 100

Authors

Cite This Article

J. A. Hartigan, M. A. Wong (1979). Algorithm AS 136: A K-Means Clustering Algorithm. Journal of the Royal Statistical Society Series C: Applied Statistics, 28(1), 100. https://doi.org/10.2307/2346830

Algorithm AS 136: A K-Means Clustering Algorithm

You May Also Like