Finding Arbitrary Shaped Clusters with Related Extents in Space and Time

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dc.contributor.authorPölitz, Christianen_US
dc.contributor.authorAndrienko, Gennadyen_US
dc.contributor.authorAndrienko, Nataliaen_US
dc.contributor.editorJoern Kohlhammer and Daniel Keimen_US
dc.date.accessioned2014-01-27T15:28:30Z
dc.date.available2014-01-27T15:28:30Z
dc.date.issued2010en_US
dc.description.abstractThe 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.en_US
dc.description.seriesinformationEuroVAST 2010: International Symposium on Visual Analytics Science and Technologyen_US
dc.identifier.isbn978-3-905673-74-6en_US
dc.identifier.urihttps://doi.org/10.2312/PE/EuroVAST/EuroVAST10/019-025en_US
dc.publisherThe Eurographics Associationen_US
dc.titleFinding Arbitrary Shaped Clusters with Related Extents in Space and Timeen_US
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