ScagnosticsJS: Extended Scatterplot Visual Features for the Web
Date
2020Metadata
Show full item recordAbstract
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.
BibTeX
@inproceedings {10.2312:egs.20201022,
booktitle = {Eurographics 2020 - Short Papers},
editor = {Wilkie, Alexander and Banterle, Francesco},
title = {{ScagnosticsJS: Extended Scatterplot Visual Features for the Web}},
author = {Pham, Vung and Dang, Tommy},
year = {2020},
publisher = {The Eurographics Association},
ISSN = {1017-4656},
ISBN = {978-3-03868-101-4},
DOI = {10.2312/egs.20201022}
}
booktitle = {Eurographics 2020 - Short Papers},
editor = {Wilkie, Alexander and Banterle, Francesco},
title = {{ScagnosticsJS: Extended Scatterplot Visual Features for the Web}},
author = {Pham, Vung and Dang, Tommy},
year = {2020},
publisher = {The Eurographics Association},
ISSN = {1017-4656},
ISBN = {978-3-03868-101-4},
DOI = {10.2312/egs.20201022}
}