"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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1995 | 0 | 2 | 2 |
1997 | 0 | 1 | 1 |
1999 | 0 | 4 | 4 |
2000 | 0 | 2 | 2 |
2001 | 0 | 4 | 4 |
2002 | 0 | 4 | 4 |
2003 | 0 | 4 | 4 |
2004 | 0 | 7 | 7 |
2005 | 1 | 8 | 9 |
2006 | 0 | 12 | 12 |
2007 | 1 | 14 | 15 |
2008 | 0 | 11 | 11 |
2009 | 0 | 8 | 8 |
2010 | 0 | 20 | 20 |
2011 | 0 | 25 | 25 |
2012 | 0 | 8 | 8 |
2013 | 0 | 28 | 28 |
2014 | 0 | 22 | 22 |
2015 | 0 | 18 | 18 |
2016 | 0 | 9 | 9 |
2017 | 0 | 23 | 23 |
2018 | 0 | 7 | 7 |
2019 | 0 | 9 | 9 |
2020 | 0 | 6 | 6 |
2021 | 0 | 6 | 6 |
2022 | 0 | 13 | 13 |
2023 | 0 | 6 | 6 |
2024 | 0 | 7 | 7 |
2025 | 0 | 1 | 1 |
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click here.
Below are the most recent publications written about "Cluster Analysis" by people in Profiles.
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Comprehensive normalization and binary classification methods for enhanced sensitivity and reproducibility in Luminex assay quantitation. J Immunol Methods. 2025 Mar; 538:113826.
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Transcriptomic clustering of chronic lymphocytic leukemia: molecular subtypes based on Bruton's tyrosine kinase expression levels. Blood Cancer J. 2024 Dec 18; 14(1):220.
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Factor analysis and clustering of motor and psychiatric dimensions in idiopathic blepharospasm. Parkinsonism Relat Disord. 2025 Feb; 131:107241.
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Clustering computer mouse tracking data with informed hierarchical shrinkage partition priors. Biometrics. 2024 Oct 03; 80(4).
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METI: deep profiling of tumor ecosystems by integrating cell morphology and spatial transcriptomics. Nat Commun. 2024 Aug 25; 15(1):7312.
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Machine learning identifies clusters of the normal adolescent spine based on sagittal balance. Spine Deform. 2025 Jan; 13(1):89-99.
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Identification of type 1 diabetes risk phenotypes using an outcome-guided clustering analysis. Diabetologia. 2024 Nov; 67(11):2507-2517.
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Operational classification of cutaneous squamous cell carcinomas based on unsupervised clustering of real cases by experts. J Eur Acad Dermatol Venereol. 2025 Mar; 39(3):612-621.
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Multivariate functional principal component analysis and k-means clustering to identify kinematic foot types during gait in children with cerebral palsy. Gait Posture. 2024 Sep; 113:40-45.
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Identification of sleep phenotypes in COPD using machine learning-based cluster analysis. Respir Med. 2024 06; 227:107641.