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
~40 min read
Encyclopedic overview
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.
Excerpted from Wikipedia’s “cluster analysis” article, available under the CC BY-SA 4.0 licence.