title: Cluster analysis by testing the statistical hypothesis of uniformity.
abstract: This paper presents a cluster algorithm that defines the number of clusters and allows classification of data points. The basic task of the algorithm is to identify accumulations of vectors in the analysis sample of vectors. The accumulations of vectors are determined by testing the statistical hypothesis of uniformity. On the basis of accumulations, clusters are formed.
authors.affiliation: Kaunas Medical Academy, Institute for Biomedical Research, Kaunas, Lithuania.
authors.forename: V
authors.initials: V
authors.lastname: Saferis
authors.forename: L S
authors.initials: LS
authors.lastname: Vilkauskas
mesh_terms: D000465:Algorithms; D000704:Analysis of Variance; D001145:Arrhythmias, Cardiac / Q000145:classification; D015982:Bias; D016000:Cluster Analysis; D003627:Data Interpretation, Statistical; D006801:Humans; D011379:Prognosis; D015203:Reproducibility of Results