Review and compare clustering algorithms for navigation data analysis tasks
| Parent link: | Advances in Computer Science Research Vol. 51 : Information Technologies in Science, Management, Social Sphere and Medicine (ITSMSSM 2016).— 2016.— [P. 270-273] |
|---|---|
| Autore principale: | |
| Ente Autore: | |
| Altri autori: | |
| Riassunto: | 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. |
| Lingua: | inglese |
| Pubblicazione: |
2016
|
| Soggetti: | |
| Accesso online: | http://dx.doi.org/10.2991/itsmssm-16.2016.58 |
| Natura: | Elettronico Capitolo di libro |
| KOHA link: | https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=657502 |
| Riassunto: | 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. |
|---|---|
| DOI: | 10.2991/itsmssm-16.2016.58 |