Interactive Human-guided Dimensionality Reduction using Landmark Positioning
dc.contributor.author | Cech, Tim | en_US |
dc.contributor.author | Raue, Christian | en_US |
dc.contributor.author | Sadrieh, Frederic | en_US |
dc.contributor.author | Scheibel, Willy | en_US |
dc.contributor.author | Döllner, Jürgen | en_US |
dc.contributor.editor | Kucher, Kostiantyn | en_US |
dc.contributor.editor | Diehl, Alexandra | en_US |
dc.contributor.editor | Gillmann, Christina | en_US |
dc.date.accessioned | 2024-05-21T08:45:28Z | |
dc.date.available | 2024-05-21T08:45:28Z | |
dc.date.issued | 2024 | |
dc.description.abstract | Dimensionality Reduction Techniques (DRs) are used for projecting high-dimensional data onto a two-dimensional plane. One subclass of DRs are such techniques that utilize landmarks. Landmarks are a subset of the original data space that are projected by a slow and more precise technique. The other data points are then placed in relation to these landmarks with respect to their distance in the high-dimensional space. We propose a technique to refine the placement of the landmarks by a human user. We test two different techniques for unprojecting the movement of the low-dimensional landmarks into the high-dimensional data space. We showcase that such a movement can increase certain quality metrics while decreasing others. Therefore, users may use our technique to challenge their understanding of the high-dimensional data space. | en_US |
dc.description.sectionheaders | Posters | |
dc.description.seriesinformation | EuroVis 2024 - Posters | |
dc.identifier.doi | 10.2312/evp.20241085 | |
dc.identifier.isbn | 978-3-03868-258-5 | |
dc.identifier.pages | 3 pages | |
dc.identifier.uri | https://doi.org/10.2312/evp.20241085 | |
dc.identifier.uri | https://diglib.eg.org/handle/10.2312/evp20241085 | |
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 | |
dc.subject | Human centered computing → Visualization techniques | |
dc.title | Interactive Human-guided Dimensionality Reduction using Landmark Positioning | en_US |