Towards More Explainable Nonlinear Dimensionality Reduction: A Feature-Driven Interaction Approach

Nonlinear dimensionality reduction (NDR) techniques are widely used to visualize high-dimensional data. However, they often lack explainability, making it challenging for analysts to relate patterns in projections to original high-dimensional features. Existing interactive methods typically separate...

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Veröffentlicht in:	IEEE transactions on visualization and computer graphics Jg. PP; S. 1 - 16
Hauptverfasser:	Cho, Aeri, Jeon, Hyeon, Choe, Kiroong, Park, Seokhyeon, Seo, Jinwook
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States IEEE 16.10.2025
Schlagworte:	Accuracy Aerospace electronics Computational modeling Data structures Data visualization Dimensionality reduction Explainability Feature Space High dimensional data Interaction Techniques Layout Nonlinear Dimensionality Reduction Scalability Visualization
ISSN:	1077-2626, 1941-0506, 1941-0506
Online-Zugang:	Volltext
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