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.identifier.isbn	978-3-03868-101-4
dc.identifier.issn	1017-4656
dc.identifier.uri	https://doi.org/10.2312/egs.20201022
dc.identifier.uri	https://diglib.eg.org:443/handle/10.2312/egs20201022
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.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
dc.description.seriesinformation	Eurographics 2020 - Short Papers
dc.description.sectionheaders	Modelling - Simulation - Visualisation
dc.identifier.doi	10.2312/egs.20201022
dc.identifier.pages	77-80

Except where otherwise noted, this item's license is described as Attribution 4.0 International License