Review and compare clustering algorithms for navigation data analysis tasks; Advances in Computer Science Research; Vol. 51 : Information Technologies in Science, Management, Social Sphere and Medicine (ITSMSSM 2016)

Podrobná bibliografie
Parent link:Advances in Computer Science Research
Vol. 51 : Information Technologies in Science, Management, Social Sphere and Medicine (ITSMSSM 2016).— 2016.— [P. 270-273]
Hlavní autor: Ponomareva A. V. Anna Vladimirovna
Korporativní autor: Национальный исследовательский Томский политехнический университет (ТПУ) Институт кибернетики (ИК) Кафедра информатики и проектирования систем (ИПС)
Další autoři: Meyta R. V. Roman Valerievich
Shrnutí:Title screen
This paper presents a study of the possibility of application of cluster analysis methods to the data sets from navigation receivers. The navigation data from the moving objects have a number of features, it makes the application to them of some class of clustering algorithms impossible. Such features include, in particular, the prevalence of clusters of complex shape different from circle.
Jazyk:angličtina
Vydáno: 2016
Témata:
On-line přístup:http://dx.doi.org/10.2991/itsmssm-16.2016.58
Médium: Elektronický zdroj Kapitola
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=657502