Scaling Up the Explanation of Multidimensional Projections
| dc.contributor.author | Thijssen, Julian | en_US |
| dc.contributor.author | Tian, Zonglin | en_US |
| dc.contributor.author | Telea, Alexandru | en_US |
| dc.contributor.editor | Angelini, Marco | en_US |
| dc.contributor.editor | El-Assady, Mennatallah | en_US |
| dc.date.accessioned | 2023-06-10T06:09:18Z | |
| dc.date.available | 2023-06-10T06:09:18Z | |
| dc.date.issued | 2023 | |
| dc.description.abstract | We present a set of interactive visual analysis techniques aiming at explaining data patterns in multidimensional projections. Our novel techniques include a global value-based encoding that highlights point groups having outlier values in any dimension as well as several local tools that provide details on the statistics of all dimensions for a user-selected projection area. Our techniques generically apply to any projection algorithm and scale computationally well to hundreds of thousands of points and hundreds of dimensions. We describe a user study that shows that our visual tools can be quickly learned and applied by users to obtain non-trivial insights in real-world multidimensional datasets. | en_US |
| dc.description.sectionheaders | Decision-making and Explanation | |
| dc.description.seriesinformation | EuroVis Workshop on Visual Analytics (EuroVA) | |
| dc.identifier.doi | 10.2312/eurova.20231098 | |
| dc.identifier.isbn | 978-3-03868-222-6 | |
| dc.identifier.issn | 2664-4487 | |
| dc.identifier.pages | 61-66 | |
| dc.identifier.pages | 6 pages | |
| dc.identifier.uri | https://doi.org/10.2312/eurova.20231098 | |
| dc.identifier.uri | https://diglib.eg.org:443/handle/10.2312/eurova20231098 | |
| 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.subject | CCS Concepts: Human-centered computing -> Visualization techniques; Visual analytics | |
| dc.subject | Human centered computing | |
| dc.subject | Visualization techniques | |
| dc.subject | Visual analytics | |
| dc.title | Scaling Up the Explanation of Multidimensional Projections | en_US |