The Challenge of Branch-Aware Data Manifold Exploration

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Date
2023
Authors
Bot, Daniƫl M.
Peeters, Jannes
Aerts, Jan
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
Abstract
Branches within clusters can represent meaningful subgroups that should be explored. In general, automatically detecting branching structures within clusters requires analysing the distances between data points and a centrality metric, resulting in a complex two-dimensional hierarchy. This poster describes abstractions for this data and formulates requirements for a visualisation, building towards a comprehensive branch-aware cluster exploration interface.
Description

CCS Concepts: Computing methodologies -> Cluster analysis; Dimensionality reduction and manifold learning

        
@inproceedings{
10.2312:evp.20231071
,
booktitle = {
EuroVis 2023 - Posters
},
editor = {
Gillmann, Christina
 and 
Krone, Michael
 and 
Lenti, Simone
},
title = {{
The Challenge of Branch-Aware Data Manifold Exploration
}},
author = {
Bot, Daniƫl M.
 and 
Peeters, Jannes
 and 
Aerts, Jan
},
year = {
2023
},
publisher = {
The Eurographics Association
},
ISBN = {
978-3-03868-220-2
},
DOI = {
10.2312/evp.20231071
}
}
Citation
URI
https://doi.org/10.2312/evp.20231071
 https://diglib.eg.org:443/handle/10.2312/evp20231071
Collections
EuroVisPosters2023