The paper investigates the application of clustering algorithms to data obtained by magnetometry in the places of archaeological excavations. The goal was to enable automatic detection in order to find possible anomalies in the data that could indicate the presence of potential archeological sites. Analysis of the results of following experiments with clustering algorithms is presented: d48c;-means, d484;-means and DBScan. The algorithms were run on a number of datasets, and visual assessment by experts confirmed the high level of accuracy of the results.
Язык оригиналаанглийский
Название основной публикацииProceedings of the International FRUCT Conference on Intelligence, Social Media and Web (ISMW FRUCT 2016)
ИздательInstitute of Electrical and Electronics Engineers Inc.
Страницы71-80
ISBN (печатное издание)978-952-68397-7-6, 978-952-68397-6-9
DOI
СостояниеОпубликовано - 2016
Событие2016 International FRUCT Conference on Intelligence, Social Media and Web - Saint-Petersburg, Российская Федерация
Продолжительность: 28 авг 20164 сен 2016

конференция

конференция2016 International FRUCT Conference on Intelligence, Social Media and Web
Сокращенное названиеISMW FRUCT 2016
Страна/TерриторияРоссийская Федерация
ГородSaint-Petersburg
Период28/08/164/09/16

ID: 7596179