title: [Cluster analysis in biomedical researches].
abstract: Cluster analysis is one of the most popular methods for the analysis of multi-parameter data. The cluster analysis reveals the internal structure of the data, group the separate observations on the degree of their similarity. The review provides a definition of the basic concepts of cluster analysis, and discusses the most popular clustering algorithms: k-means, hierarchical algorithms, Kohonen networks algorithms. Examples are the use of these algorithms in biomedical research.
authors.forename: A S
authors.initials: AS
authors.lastname: Akopov
authors.forename: A A
authors.initials: AA
authors.lastname: Moskovtsev
authors.forename: S A
authors.initials: SA
authors.lastname: Dolenko
authors.forename: G D
authors.initials: GD
authors.lastname: Savina
mesh_terms: D035843:Biomedical Research / Q000379:methods*; D016000:Cluster Analysis