When Dimensionality Reduction Meets Graph (Drawing) Theory: Introducing a Common Framework, Challenges and Opportunities

In the vast landscape of visualization research, Dimensionality Reduction (DR) and graph analysis are two popular subfields, often essential to most visual data analytics setups. DR aims to create representations to support neighborhood and similarity analysis on complex, large datasets. Graph analy...

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Vydané v:	Computer graphics forum Ročník 44; číslo 3
Hlavní autori:	Paulovich, F. V., Arleo, A., van den Elzen, S.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Oxford Blackwell Publishing Ltd 01.06.2025
Predmet:	CCS Concepts Computing methodologies → Dimensionality reduction and manifold learning Graph theory Human‐centered computing → Visualization Mathematics of computing → Graph theory Representations Topology Visualization
ISSN:	0167-7055, 1467-8659
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