"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
|
MeSH Number(s) |
E05.318.740.250 N05.715.360.750.200 N06.850.520.830.250
|
Concept/Terms |
Cluster Analysis- Cluster Analysis
- Analyses, Cluster
- Analysis, Cluster
- Cluster Analyses
- Clustering
- Clusterings
Disease Clustering- Disease Clustering
- Clustering, Disease
- Clusterings, Disease
- Disease Clusterings
|
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 |
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1994 | 0 | 5 | 5 |
1995 | 2 | 0 | 2 |
1997 | 0 | 1 | 1 |
1998 | 1 | 0 | 1 |
1999 | 1 | 1 | 2 |
2000 | 0 | 1 | 1 |
2001 | 0 | 2 | 2 |
2002 | 0 | 2 | 2 |
2003 | 1 | 3 | 4 |
2004 | 0 | 7 | 7 |
2005 | 0 | 8 | 8 |
2006 | 3 | 3 | 6 |
2007 | 0 | 3 | 3 |
2008 | 0 | 7 | 7 |
2009 | 1 | 14 | 15 |
2010 | 0 | 10 | 10 |
2011 | 1 | 11 | 12 |
2012 | 0 | 14 | 14 |
2013 | 0 | 11 | 11 |
2014 | 1 | 9 | 10 |
2015 | 0 | 7 | 7 |
2016 | 0 | 11 | 11 |
2017 | 0 | 5 | 5 |
2018 | 0 | 7 | 7 |
2019 | 1 | 3 | 4 |
2020 | 0 | 4 | 4 |
2021 | 0 | 5 | 5 |
2022 | 0 | 2 | 2 |
2023 | 0 | 1 | 1 |
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Below are the most recent publications written about "Cluster Analysis" by people in Profiles.
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Young Children's Dietary Quality in Family Child Care and in Their Own Home. J Acad Nutr Diet. 2023 08; 123(8):1197-1206.
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Unsupervised Clustering of Olfactory Phenotypes. Am J Rhinol Allergy. 2022 Nov; 36(6):796-803.
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A machine learning and clustering-based approach for county-level COVID-19 analysis. PLoS One. 2022; 17(4):e0267558.
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TLC-Based Fingerprinting Analysis of the Geographical Variation of Melastoma malabathricum in Inland and Archipelago Regions: A Rapid and Easy-to-Use Tool for Field Metabolomics Studies. J Nat Prod. 2022 01 28; 85(1):292-300.
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One-Step, Wash-free, Nanoparticle Clustering-Based Magnetic Particle Spectroscopy Bioassay Method for Detection of SARS-CoV-2 Spike and Nucleocapsid Proteins in the Liquid Phase. ACS Appl Mater Interfaces. 2021 Sep 22; 13(37):44136-44146.
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Single-cell transcriptomics of human embryos identifies multiple sympathoblast lineages with potential implications for neuroblastoma origin. Nat Genet. 2021 05; 53(5):694-706.
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Marginal analysis of current status data with informative cluster size using a class of semiparametric transformation cure models. Stat Med. 2021 05 10; 40(10):2400-2412.
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Endotyping chronic rhinosinusitis based on olfactory cleft mucus biomarkers. J Allergy Clin Immunol. 2021 05; 147(5):1732-1741.e1.
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Comorbidity patterns among people living with HIV: a hierarchical clustering approach through integrated electronic health records data in South Carolina. AIDS Care. 2021 05; 33(5):594-606.
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Deep active learning for Interictal Ictal Injury Continuum EEG patterns. J Neurosci Methods. 2021 03 01; 351:108966.