Spatial data clustering in independent mobile environment
Bartłomiej Kamil Gajewski , Tomasz Martyn
AbstractMost geolocation applications for mobile devices assume a constant connection with the network and high computational power nodes. However, with ever-developing devices it now becomes possible to establish peer-to-peer networks in case when the network can be unreachable due to special circumstances (like conflicts or natural disasters). In this paper, a method for clustering spatial data in mobile environment is discussed. A simple solution based on OPTICS algorithm with lexical distance is proposed for grouping the observations.
|Journal series||Measurement Automation Monitoring, ISSN 2450-2855 [0032-4140]|
|Publication size in sheets||0.3|
|Keywords in English||peer-to-peer, data clustering, OPTICS, mobile, lexical distance|
|project||Development of new algorithms in the areas of software and computer architecture, artificial intelligence and information systems and computer graphics . Project leader: Rybiński Henryk,
, Phone: +48 22 234 7731, start date 18-05-2015, end date 30-11-2016, II/2015/DS/1, Completed
|License||Journal (articles only); author's original; ; after publication|
|Score|| = 11.0, 27-03-2017, ArticleFromJournal|
= 11.0, 27-03-2017, ArticleFromJournal
|Citation count*||0 (2018-06-22)|
* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.