cluster analysis
Sign in to saveAlso known as clustering, clustering analysis
task of grouping a set of objects in such a way that objects in the same group (called a cluster) are more similar (in some sense or another) to each other than to those in other groups (clusters)
Research
213,303 papers- Bayesian cluster analysis.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2023
- Cluster analysis in fibromyalgia: a systematic review.Rheumatology international · 2024
- Cluster Correspondence Analysis.Psychometrika · 2017
- Definition, Phenotyping of Severe Asthma, Including Cluster Analysis.Advances in experimental medicine and biology · 2023
- Cluster analysis and subgrouping to investigate inter-individual variability to non-invasive brain stimulation: a systematic review.Reviews in the neurosciences · 2018
via PubMed
Wikidata facts
- Image
- KMeans-Gaussian-data.svg
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- Commons category
- Cluster analysis
- Stack Exchange tag
- stats.stackexchange.com/tags/clustering
- Commons gallery
- Cluster analysis
- ACM Classification Code (2012)
- 10003697
- P13411
- Rhine
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~40 min read
Article
The result of a cluster analysis shown as the coloring of the squares into three clusters
Cluster analysis, or clustering, is a data analysis technique aimed at partitioning a set of objects into groups such that objects within the same group (called a cluster) exhibit greater similarity to one another (in some specific sense defined by the analyst) than to those in other groups (clusters). It is a main task of exploratory data analysis, and a common technique for statistical data analysis, used in many fields, including pattern recognition, image analysis, information retrieval, bioinformatics, data compression, computer graphics and machine learning.