cPro: Circular Projections Using Gradient Descent
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Date
2024
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
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.
Description
CCS Concepts: Human-centered computing → Visualization techniques
@inproceedings{10.2312:eurova.20241111,
booktitle = {EuroVis Workshop on Visual Analytics (EuroVA)},
editor = {El-Assady, Mennatallah and Schulz, Hans-Jörg},
title = {{cPro: Circular Projections Using Gradient Descent}},
author = {Buchmüller, Raphael and Jäckl, Bastian and Behrisch, Michael and Keim, Daniel A. and Dennig, Frederik L.},
year = {2024},
publisher = {The Eurographics Association},
ISBN = {978-3-03868-253-0},
DOI = {10.2312/eurova.20241111}
}