ScagnosticsJS: Extended Scatterplot Visual Features for the Web
| dc.contributor.author | Pham, Vung | en_US |
| dc.contributor.author | Dang, Tommy | en_US |
| dc.contributor.editor | Wilkie, Alexander and Banterle, Francesco | en_US |
| dc.date.accessioned | 2020-05-24T13:43:13Z | |
| dc.date.available | 2020-05-24T13:43:13Z | |
| dc.date.issued | 2020 | |
| dc.description.abstract | Scagnostics is a set of features that characterizes the data distribution in a scatterplot. These visual features have been used in various applications to detect unusual correlations of bivariate data. However, there is no formally published implementation for 3D or higher. This project aims to provide the Scagnostics implementation in JavaScript, called ScagnosticsJS, and also extend these measures for higher dimensional scattered points. We also present a Scagnostics exploration webpage, which makes the underlying algorithms transparent to users. | en_US |
| dc.description.sectionheaders | Modelling - Simulation - Visualisation | |
| dc.description.seriesinformation | Eurographics 2020 - Short Papers | |
| dc.identifier.doi | 10.2312/egs.20201022 | |
| dc.identifier.isbn | 978-3-03868-101-4 | |
| dc.identifier.issn | 1017-4656 | |
| dc.identifier.pages | 77-80 | |
| dc.identifier.uri | https://doi.org/10.2312/egs.20201022 | |
| dc.identifier.uri | https://diglib.eg.org:443/handle/10.2312/egs20201022 | |
| dc.publisher | The Eurographics Association | en_US |
| dc.rights | Attribution 4.0 International License | |
| dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | ] |
| dc.title | ScagnosticsJS: Extended Scatterplot Visual Features for the Web | en_US |