 Cluster Analysis
"Cluster Analysis" is a descriptor in the National Library of Medicine's controlled vocabulary thesaurus,
MeSH (Medical Subject Headings). Descriptors are arranged in a hierarchical structure,
which enables searching at various levels of specificity.
A set of statistical methods used to group variables or observations into strongly inter-related subgroups. In epidemiology, it may be used to analyze a closely grouped series of events or cases of disease or other health-related phenomenon with well-defined distribution patterns in relation to time or place or both.
| Descriptor ID |
D016000
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| MeSH Number(s) |
E05.318.740.250 N05.715.360.750.200 N06.850.520.830.250
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| Concept/Terms |
Cluster Analysis- Cluster Analysis
- Analyses, Cluster
- Analysis, Cluster
- Cluster Analyses
- Clustering
- Clusterings
Disease Clustering- Disease Clustering
- Clustering, Disease
- Clusterings, Disease
- Disease Clusterings
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Below are MeSH descriptors whose meaning is more general than "Cluster Analysis".
Below are MeSH descriptors whose meaning is more specific than "Cluster Analysis".
This graph shows the total number of publications written about "Cluster Analysis" by people in this website by year, and whether "Cluster Analysis" was a major or minor topic of these publications.
To see the data from this visualization as text, click here.
| Year | Major Topic | Minor Topic | Total |
|---|
| 1996 | 0 | 1 | 1 | | 1997 | 0 | 1 | 1 | | 1999 | 1 | 3 | 4 | | 2001 | 0 | 1 | 1 | | 2002 | 0 | 6 | 6 | | 2003 | 1 | 3 | 4 | | 2004 | 0 | 11 | 11 | | 2005 | 0 | 11 | 11 | | 2006 | 0 | 10 | 10 | | 2007 | 0 | 13 | 13 | | 2008 | 0 | 12 | 12 | | 2009 | 1 | 13 | 14 | | 2010 | 0 | 21 | 21 | | 2011 | 2 | 16 | 18 | | 2012 | 1 | 30 | 31 | | 2013 | 0 | 21 | 21 | | 2014 | 1 | 27 | 28 | | 2015 | 0 | 15 | 15 | | 2016 | 0 | 18 | 18 | | 2017 | 2 | 5 | 7 | | 2018 | 0 | 18 | 18 | | 2019 | 0 | 13 | 13 | | 2020 | 0 | 11 | 11 | | 2021 | 1 | 8 | 9 | | 2022 | 0 | 11 | 11 | | 2023 | 0 | 7 | 7 | | 2024 | 0 | 8 | 8 | | 2025 | 0 | 2 | 2 |
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Below are the most recent publications written about "Cluster Analysis" by people in Profiles.
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Cummings C, Shircliff K, Gatto AJ, Rizzo CJ, Houck CD. Cluster analysis of caregiver and adolescent emotion regulation and its relation to sexual health and dating communication. J Pediatr Psychol. 2025 Apr 01; 50(4):346-353.
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Akabane M, Kawashima J, Altaf A, Woldesenbet S, Cauchy F, Aucejo F, Popescu I, Kitago M, Martel G, Ratti F, Aldrighetti L, Poultsides GA, Imaoka Y, Ruzzenente A, Endo I, Gleisner A, Marques HP, Lam V, Hugh T, Bhimani N, Shen F, Pawlik TM. Dynamic ALBI score and FIB-4 index trends to predict complications after resection of hepatocellular carcinoma: A K-means clustering approach. Eur J Surg Oncol. 2025 Jun; 51(6):109723.
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Bradshaw MS, Gibbs C, Martin S, Firman T, Gaskell A, Fosdick B, Layer R. Hypothesis generation for rare and undiagnosed diseases through clustering and classifying time-versioned biological ontologies. PLoS One. 2024; 19(12):e0309205.
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Jensen AM, DeWitt P, Bettcher BM, Wrobel J, Kechris K, Ghosh D. Kernel machine tests of association using extrinsic and intrinsic cluster evaluation metrics. PLoS Comput Biol. 2024 Nov; 20(11):e1012524.
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Anwar MY, Highland H, Buchanan VL, Graff M, Young K, Taylor KD, Tracy RP, Durda P, Liu Y, Johnson CW, Aguet F, Ardlie KG, Gerszten RE, Clish CB, Lange LA, Ding J, Goodarzi MO, Chen YI, Peloso GM, Guo X, Stanislawski MA, Rotter JI, Rich SS, Justice AE, Liu CT, North K. Machine learning-based clustering identifies obesity subgroups with differential multi-omics profiles and metabolic patterns. Obesity (Silver Spring). 2024 Nov; 32(11):2024-2034.
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Pividori M, Ritchie MD, Milone DH, Greene CS. An efficient, not-only-linear correlation coefficient based on clustering. Cell Syst. 2024 Sep 18; 15(9):854-868.e3.
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You L, Ferrat LA, Oram RA, Parikh HM, Steck AK, Krischer J, Redondo MJ. Identification of type 1 diabetes risk phenotypes using an outcome-guided clustering analysis. Diabetologia. 2024 Nov; 67(11):2507-2517.
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Rogerson C, Nelson Sanchez-Pinto L, Gaston B, Wiehe S, Schleyer T, Tu W, Mendonca E. Identification of severe acute pediatric asthma phenotypes using unsupervised machine learning. Pediatr Pulmonol. 2024 Dec; 59(12):3313-3321.
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Gill ER, Dill C, Goss CH, Sagel SD, Wright ML, Horner SD, Zu?iga JA. Symptom phenotyping in people with cystic fibrosis during acute pulmonary exacerbations using machine-learning K-means clustering analysis. J Cyst Fibros. 2024 Nov; 23(6):1106-1111.
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Li X, Newbold P, Katial R, Hirsch I, Li H, Martin UJ, Meyers DA, Bleecker ER. Multivariate Cluster Analyses to Characterize Asthma Heterogeneity and Benralizumab Responsiveness. J Allergy Clin Immunol Pract. 2024 Oct; 12(10):2732-2743.
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