"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 |
|---|
| 2003 | 0 | 2 | 2 |
| 2004 | 0 | 2 | 2 |
| 2005 | 0 | 4 | 4 |
| 2006 | 0 | 3 | 3 |
| 2007 | 0 | 2 | 2 |
| 2008 | 1 | 4 | 5 |
| 2009 | 0 | 8 | 8 |
| 2010 | 0 | 4 | 4 |
| 2011 | 1 | 10 | 11 |
| 2012 | 0 | 13 | 13 |
| 2013 | 0 | 19 | 19 |
| 2014 | 1 | 15 | 16 |
| 2015 | 0 | 10 | 10 |
| 2016 | 0 | 18 | 18 |
| 2017 | 8 | 159 | 167 |
| 2018 | 2 | 117 | 119 |
| 2019 | 2 | 41 | 43 |
| 2020 | 0 | 44 | 44 |
| 2021 | 1 | 34 | 35 |
To return to the timeline, click here.
Below are the most recent publications written about "Cluster Analysis" by people in Profiles.
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DeepDRIM: a deep neural network to reconstruct cell-type-specific gene regulatory network using single-cell RNA-seq data. Brief Bioinform. 2021 11 05; 22(6).
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Cluster analysis reveals three main patterns of beliefs and intention with respect to SARS-CoV-2 vaccination in patients with autoimmune and inflammatory diseases. Rheumatology (Oxford). 2021 10 09; 60(SI):SI68-SI76.
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RCA2: a scalable supervised clustering algorithm that reduces batch effects in scRNA-seq data. Nucleic Acids Res. 2021 09 07; 49(15):8505-8519.
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jSRC: a flexible and accurate joint learning algorithm for clustering of single-cell RNA-sequencing data. Brief Bioinform. 2021 09 02; 22(5).
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Biomarkers of Coagulation and Inflammation in COVID-19-Associated Ischemic Stroke. Stroke. 2021 11; 52(11):e706-e709.
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The spreading of SARS-CoV-2: Interage contacts and networks degree distribution. PLoS One. 2021; 16(8):e0256036.
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Clustering and multiple-spreading events of nosocomial severe acute respiratory syndrome coronavirus 2 infection. J Hosp Infect. 2021 Nov; 117:28-36.
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Quantifying the impact of COVID-19 on e-bike safety in China via multi-output and clustering-based regression models. PLoS One. 2021; 16(8):e0256610.
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New confinement index and new perspective for comparing countries - COVID-19. Comput Methods Programs Biomed. 2021 Oct; 210:106346.
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COVID-19 trial graph: a linked graph for COVID-19 clinical trials. J Am Med Inform Assoc. 2021 08 13; 28(9):1964-1969.