Use this url to cite publication: https://hdl.handle.net/20.500.12512/59026
Cluster analysis by testing the statistical hypothesis of uniformity
Type of publication
Straipsnis Web of Science ir Scopus duomenų bazėje / Article in Web of Science and Scopus database (S1)
Author(s)
| Author | Affiliation |
|---|---|
Vilkauskas, Leonardas |
Title
Cluster analysis by testing the statistical hypothesis of uniformity
V. Saferis, L. A. Vilkauskas
Publisher (trusted)
Is Referenced by
Date Issued
| Date |
|---|
1996-04-15 |
Extent
p. 817-821.
Is part of
Statistics in medicine. Chichester : Wiley, 1996, vol. 15, no. 7-9.
Version
Originalus / Original
Field of Science
Abstract (en)
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.
Type of document
type::text::journal::journal article::research article
ISSN (of the container)
0277-6715
WOS
A1996UG35700013
Other Identifier(s)
(LSMU ALMA)990000418030107106
Coverage Spatial
Jungtinė Karalystė / United Kingdom of Great Britain and Northern Ireland (GB)
Language
Anglų / English (en)
Bibliographic Details
3