Interactive Human-guided Dimensionality Reduction using Landmark Positioning

Simple item page
dc.contributor.authorCech, Timen_US
dc.contributor.authorRaue, Christianen_US
dc.contributor.authorSadrieh, Fredericen_US
dc.contributor.authorScheibel, Willyen_US
dc.contributor.authorDöllner, Jürgenen_US
dc.contributor.editorKucher, Kostiantynen_US
dc.contributor.editorDiehl, Alexandraen_US
dc.contributor.editorGillmann, Christinaen_US
dc.date.accessioned2024-05-21T08:45:28Z
dc.date.available2024-05-21T08:45:28Z
dc.date.issued2024
dc.description.abstractDimensionality 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.sectionheadersPosters
dc.description.seriesinformationEuroVis 2024 - Posters
dc.identifier.doi10.2312/evp.20241085
dc.identifier.isbn978-3-03868-258-5
dc.identifier.pages3 pages
dc.identifier.urihttps://doi.org/10.2312/evp.20241085
dc.identifier.urihttps://diglib.eg.org/handle/10.2312/evp20241085
dc.publisherThe Eurographics Associationen_US
dc.rightsAttribution 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectCCS Concepts: Human-centered computing → Visualization techniques
dc.subjectHuman centered computing → Visualization techniques
dc.titleInteractive Human-guided Dimensionality Reduction using Landmark Positioningen_US
Files
Original bundle
Now showing 1 - 3 of 3
No Thumbnail Available
Name:
11_evp20241085.pdf
Size:
513.81 KB
Format:
Adobe Portable Document Format
Download
No Thumbnail Available
Name:
1047-i17.pdf
Size:
1.96 MB
Format:
Adobe Portable Document Format
Download
No Thumbnail Available
Name:
1047-i7.pdf
Size:
2.26 MB
Format:
Adobe Portable Document Format
Download
Collections
EuroVisPosters2024