Most cited papers in Advanced Clustering Algorithms Research
What are the most cited papers in Advanced Clustering Algorithms Research?
The most cited paper in Advanced Clustering Algorithms Research is "Silhouettes: A graphical aid to the interpretation and validation of cluster analysis" (Peter J. Rousseeuw, 1987), with 21,780 citations. Next come "A density-based algorithm for discovering clusters in large spatial Databases with Noise" (19,125) and "Algorithm AS 136: A K-Means Clustering Algorithm" (14,594).
Showing 50 of 99 papers. Every paper with more than 1,041 citations is listed.
| # | Paper | ||
|---|---|---|---|
| 1 | Silhouettes: A graphical aid to the interpretation and validation of cluster analysis Peter J. Rousseeuw · Journal of Computational and Applied Mathematics | Nov 1987 | 21,780 |
| 2 | A density-based algorithm for discovering clusters in large spatial Databases with Noise Martin Ester, Hans‐Peter Kriegel, Jörg Sander et al. | 1996 | 19,125 |
| 3 | Algorithm AS 136: A K-Means Clustering Algorithm John A. Hartigan, M. Anthony Wong · Journal of the Royal Statistical Society Series C (Applied Statistics) | 1979 | 14,594 |
| 4 | Data clustering Anil Kumar Jain, Musti Narasimha Murty, Patrick J. Flynn · ACM Computing Surveys | Sep 1999 | 13,296 |
| 5 | Data clustering: 50 years beyond K-means Anil Kumar Jain · Pattern Recognition Letters | 10 Sep 2009 | 9,458 |
| 6 | A Cluster Separation Measure David Lewis Davies, Donald W. Bouldin · IEEE Transactions on Pattern Analysis and Machine Intelligence | Apr 1979 | 9,166 |
| 7 | Comparing partitions Lawrence J. Hubert, Phipps Arabie · Journal of Classification | Dec 1985 | 8,084 |
| 8 | Algorithms for Clustering Data Warren S. Sarle, Anil K. Jain, Richard C. Dubes · Technometrics | May 1990 | 7,829 |
| 9 | FCM: The fuzzy c-means clustering algorithm James C. Bezdek, Robert Ehrlich, William E. Full · Computers & Geosciences | 1984 | 6,688 |
| 10 | Algorithms for clustering data Bernhard N. Flury · Journal of Statistical Planning and Inference | 1989 | 6,472 |
| 11 | k-means++: the advantages of careful seeding David Arthur, Sergei Vassilvitskii | 7 Jan 2007 | 6,293 |
| 12 | Survey of Clustering Algorithms Rui Xu, D. WunschII · IEEE Transactions on Neural Networks | May 2005 | 6,241 |
| 13 | Objective Criteria for the Evaluation of Clustering Methods William M. Rand · Journal of the American Statistical Association | Dec 1971 | 6,021 |
| 14 | An efficient k-means clustering algorithm: analysis and implementation Tapas Kanungo, David M. Mount, Nathan S. Netanyahu et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence | Jul 2002 | 5,724 |
| 15 | Clustering by fast search and find of density peaks Alex C. Rodriguez, Alessandro Laio · Science | 26 Jun 2014 | 5,064 |
| 16 | ROOT — An object oriented data analysis framework René Brun, Fons Rademakers · Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment | Apr 1997 | 4,977 |
| 17 | Model-Based Clustering, Discriminant Analysis, and Density Estimation Chris Fraley, Adrian E. Raftery · Journal of the American Statistical Association | Jun 2002 | 4,370 |
| 18 | BIRCH Tian Yao Zhang, Raghu Ramakrishnan, Miron Livny | 1996 | 3,923 |
| 19 | An Examination of Procedures for Determining the Number of Clusters in a Data Set Glenn W. Milligan, Martha C. Cooper · Psychometrika | Jun 1985 | 3,910 |
| 20 | The global k-means clustering algorithm Aristidis C. Likas, Nikos Vlassis, Jakob J. Verbeek · Pattern Recognition | 28 Oct 2002 | 3,786 |
| 21 | A validity measure for fuzzy clustering Xiao‐Zhu Xie, G. Beni · IEEE Transactions on Pattern Analysis and Machine Intelligence | 1991 | 3,412 |
| 22 | Open source clustering software Michiel de Hoon, Seiya Imoto, John P. Nolan et al. · Bioinformatics | 10 Feb 2004 | 3,213 |
| 23 | mclust 5: Clustering, Classification and Density Estimation Using Gaussian Finite Mixture Models Luca Scrucca, Michael Fop, Thomas Brendan Murphy et al. · The R Journal | 2016 | 3,110 |
| 24 | Comparing community structure identification León Danon, Albert Dı́az-Guilera, Jordi Duch et al. · Journal of Statistical Mechanics Theory and Experiment | Sep 2005 | 2,915 |
| 25 | Mining the network value of customers Pedro Domingos, Matt Richardson | 26 Aug 2001 | 2,885 |
| 26 | A Survey of Clustering Data Mining Techniques Pavel Berkhin | Feb 2006 | 2,833 |
| 27 | Clustering in real space and in redshift space Nick Kaiser · Monthly Notices of the Royal Astronomical Society | Jul 1987 | 2,800 |
| 28 | Fuzzy Model Identification Based on Cluster Estimation Stephen L. Chiu · Journal of Intelligent & Fuzzy Systems | Aug 1994 | 2,794 |
| 29 | DBSCAN Revisited, Revisited Erich Schubert, Jörg Sander, Martin Ester et al. · ACM Transactions on Database Systems | 31 Jul 2017 | 2,772 |
| 30 | Clustering of the self-organizing map Juha Vesanto, Esa J. Alhoniemi · IEEE Transactions on Neural Networks | May 2000 | 2,711 |
| 31 | Citation-based clustering of publications using CitNetExplorer and VOSviewer Nees Jan van Eck, Ludo Waltman · Scientometrics | 27 Feb 2017 | 2,690 |
| 32 | On Clustering Validation Techniques Maria Halkidi, Yannis Batistakis, Michalis Vazirgiannis · Journal of Intelligent Information Systems | Dec 2001 | 2,679 |
| 33 | UpSet: Visualization of Intersecting Sets Alexander Lex, Nils Gehlenborg, Hendrik Strobelt et al. · IEEE Transactions on Visualization and Computer Graphics | 11 Aug 2014 | 2,610 |
| 34 | Density-Based Clustering Based on Hierarchical Density Estimates Ricardo J. G. B. Campello, Davoud Moulavi, Jörg Sander · Lecture notes in computer science | 2013 | 2,570 |
| 35 | How Many Clusters? Which Clustering Method? Answers Via Model-Based Cluster Analysis Chris Fraley · The Computer Journal | Aug 1998 | 2,566 |
| 36 | Extensions to the k-Means Algorithm for Clustering Large Data Sets with Categorical Values Zhexue Huang · Data Mining and Knowledge Discovery | Sep 1998 | 2,525 |
| 37 | An entropy criterion for assessing the number of clusters in a mixture model Gilles Celeux, Gilda Soromenho · Journal of Classification | Sep 1996 | 2,457 |
| 38 | A Comparison of Document Clustering Techniques Michael S. Steinbach, George Karypis, Vipin Kumar | 23 May 2000 | 2,453 |
| 39 | Clustering of time series data—a survey T. Warren Liao · Pattern Recognition | 26 May 2005 | 2,429 |
| 40 | Automatic subspace clustering of high dimensional data for data mining applications Rakesh Agrawal, Johannes E. Gehrke, Dimitrios Gunopulos et al. | Jun 1998 | 2,402 |
| 41 | Unsupervised K-Means Clustering Algorithm Kristina Pestaria Sinaga, Miin‐Shen Yang · IEEE Access | 2020 | 2,262 |
| 42 | K-means clustering algorithms: A comprehensive review, variants analysis, and advances in the era of big data Abiodun Motunrayo Ikotun, Absalom El-Shamir Ezugwu, Laith Abualigah et al. · Information Sciences | Dec 2022 | 2,257 |
| 43 | A simple and fast algorithm for K-medoids clustering Hae-Sang Park, Chi‐Hyuck Jun · Expert Systems with Applications | 12 Feb 2008 | 2,148 |
| 44 | BIRCH Tian Yao Zhang, Raghu Ramakrishnan, Miron Livny · ACM SIGMOD Record | Jun 1996 | 2,097 |
| 45 | Defining clusters from a hierarchical cluster tree: the Dynamic Tree Cut package for R Peter Langfelder, Bin Zhang, Steve Horvath · Bioinformatics | 16 Nov 2007 | 2,045 |
| 46 | Cluster Analysis in Marketing Research: Review and Suggestions for Application Girish Punj, David W. Stewart · Journal of Marketing Research | May 1983 | 2,008 |
| 47 | Fuzzy clustering with a fuzzy covariance matrix Donald E. Gustafson, W. Kessel | 1978 | 1,982 |
| 48 | A Comprehensive Survey of Clustering Algorithms Dongkuan Xu, Yingjie Tian · Annals of Data Science | Jun 2015 | 1,961 |
| 49 | CURE Sudipto Guha, Rajeev R. Rastogi, Kyuseok Shim | Jun 1998 | 1,914 |
| 50 | Self-Tuning Spectral Clustering Lihi Zelnik‐Manor, Pietro Perona · CaltechAUTHORS (California Institute of Technology) | Dec 2004 | 1,910 |
Citations are OpenAlex's own counts, from its 2026-09-23 snapshot, so the ranking can differ from Google Scholar or Web of Science. A paper is listed for a field when OpenAlex files it under one of the field's topics; retracted papers and papers whose citation count cannot be traced to citing works are left out, and a preprint and the article it became are shown once. Release dates are OpenAlex's: where a source gave only a month or a year, that is what is shown. How the lists are chosen.