ScagnosticsJS: Extended Scatterplot Visual Features for the Web

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Date
2020
Authors
Pham, Vung
Dang, Tommy
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
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.
Description

        
@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
}
}
Citation
URI
https://doi.org/10.2312/egs.20201022
 https://diglib.eg.org:443/handle/10.2312/egs20201022
Collections
EG 2020 - Short Papers