Abstract
Typical projection methods such as PCA or MDS rely on mapping data onto an Euclidean space, limiting the design of resulting visualizations to lines, planes, or cubes and thus may fail to capture the intrinsic non-linear relationships within data, resulting in inefficient use of two-dimensional space. We introduce the novel projection technique -cPro-, which aligns high-dimensional data onto a circular layout. We apply gradient descent, an adaptable optimization technique to efficiently reduce a customized loss function. We use selected distance measures to reduce high data dimensionality and reveal patterns on a two-dimensional ring layout. We evaluate our approach compared to 1D and 2D MDS and discuss further use cases and potential extensions. cPro enables the design of novel visualization techniques that employ semantic distances on a circular layout.
Original language | English |
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Title of host publication | EuroVA 2024 - EuroVis Workshop on Visual Analytics |
Editors | Dieter Fellner, Dieter Fellner, Mennatallah El-Assady, Hans-Jorg Schulz |
Publisher | Eurographics Association |
Number of pages | 6 |
ISBN (Electronic) | 9783038682530 |
DOIs | |
Publication status | Published - 2024 |
Event | 2024 EuroVis Workshop on Visual Analytics, EuroVA 2024 - Odense, Denmark Duration: 27 May 2024 → … |
Publication series
Name | International Workshop on Visual Analytics |
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ISSN (Electronic) | 2664-4487 |
Conference
Conference | 2024 EuroVis Workshop on Visual Analytics, EuroVA 2024 |
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Country/Territory | Denmark |
City | Odense |
Period | 27/05/24 → … |
Bibliographical note
Publisher Copyright:© 2024 The Authors.