cPro: Circular Projections Using Gradient Descent

Raphael Buchmüller, Bastian Jäckl, Michael Behrisch, Daniel A. Keim, Frederik L. Dennig

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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 languageEnglish
Title of host publicationEuroVA 2024 - EuroVis Workshop on Visual Analytics
EditorsDieter Fellner, Dieter Fellner, Mennatallah El-Assady, Hans-Jorg Schulz
PublisherEurographics Association
Number of pages6
ISBN (Electronic)9783038682530
DOIs
Publication statusPublished - 2024
Event2024 EuroVis Workshop on Visual Analytics, EuroVA 2024 - Odense, Denmark
Duration: 27 May 2024 → …

Publication series

NameInternational Workshop on Visual Analytics
ISSN (Electronic)2664-4487

Conference

Conference2024 EuroVis Workshop on Visual Analytics, EuroVA 2024
Country/TerritoryDenmark
CityOdense
Period27/05/24 → …

Bibliographical note

Publisher Copyright:
© 2024 The Authors.

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