|
Математическое моделирование, компьютерный и натурный эксперимент в естественных науках
Электронный научный журнал
|
| О журнале | Номера журнала | Поиск | Правила для авторов |
|
Физико-математические науки
THE CLUSTERIZATION OF GEO-TAGGED DATA FOR FINDING TOURISTS ATTRACTIONS
1. Saratov State University
Резюме |
Fulltext File (0 K)
Abstract: In this paper we examine the problem of detection of the most popular city attractions using a geo-tagged data of photographs. First, we constructed a graph on the basis of the photographed spot coordinates. Then we reduced the problem to the problem of graph clusterization. In our work we use two clustering algorithms, DBSCAN and -MXT. The algorithms were implemented in Python using the Jupyter environment. Keywords: graph clusterization, weighted graph, geo-tagged data |
|
Сайт работает на RAE Editorial System
|
|