Interactive Human-guided Dimensionality Reduction using Landmark Positioning

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.
Description

CCS Concepts: Human-centered computing → Visualization techniques

        
@inproceedings{
10.2312:evp.20241085
, booktitle = {
EuroVis 2024 - Posters
}, editor = {
Kucher, Kostiantyn
and
Diehl, Alexandra
and
Gillmann, Christina
}, title = {{
Interactive Human-guided Dimensionality Reduction using Landmark Positioning
}}, author = {
Cech, Tim
and
Raue, Christian
and
Sadrieh, Frederic
and
Scheibel, Willy
and
Döllner, Jürgen
}, year = {
2024
}, publisher = {
The Eurographics Association
}, ISBN = {
978-3-03868-258-5
}, DOI = {
10.2312/evp.20241085
} }
Citation