Finding Arbitrary Shaped Clusters with Related Extents in Space and Time

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019-025.pdf (1.41 MB)
Date
2010
Authors
Pölitz, Christian
Andrienko, Gennady
Andrienko, Natalia
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
Abstract
The paper deals with density-based clustering of events, i.e. objects positioned in space and time, such as occurrences of earthquakes, forest fires, mobile phone calls, or photos with geographical references. Finding concentrations of events in space and time can help to discover interesting places and time periods. The spatial and temporal properties of event clusters, in particular, their spatial and temporal extents and densities, can be related to each other. Therefore, we suggest a two-step clustering method that considers relations of the spatial and temporal dimension. We demonstrate the work of the method on several examples of real data.
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@inproceedings{
:10.2312/PE/EuroVAST/EuroVAST10/019-025
,
booktitle = {
EuroVAST 2010: International Symposium on Visual Analytics Science and Technology
},
editor = {
Joern Kohlhammer and Daniel Keim
},
title = {{
Finding Arbitrary Shaped Clusters with Related Extents in Space and Time
}},
author = {
Pölitz, Christian
 and 
Andrienko, Gennady
 and 
Andrienko, Natalia
},
year = {
2010
},
publisher = {
The Eurographics Association
},
ISBN = {
978-3-905673-74-6
},
DOI = {
/10.2312/PE/EuroVAST/EuroVAST10/019-025
}
}
Citation
URI
https://doi.org/10.2312/PE/EuroVAST/EuroVAST10/019-025
Collections
EuroVAST10