The Grassmannian Atlas: A General Framework for Exploring Linear Projections of High-Dimensional Data

Linear projections are one of the most common approaches to visualize high‐dimensional data. Since the space of possible projections is large, existing systems usually select a small set of interesting projections by ranking a large set of candidate projections based on a chosen quality measure. How...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Computer graphics forum Jg. 35; H. 3; S. 1 - 10
Hauptverfasser:	Liu, S., Bremer, P.-T, Jayaraman, J. J., Wang, B., Summa, B., Pascucci, V.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Oxford Blackwell Publishing Ltd 01.06.2016 Wiley
Schlagworte:	Analysis Categories and Subject Descriptors (according to ACM CCS) Computer Graphics Exploration I.3.3 [Computer Graphics]: Picture/Image Generation-Line and curve generation Line and curve generation MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE Picture/Image Generation Pictures Projection Ranking Studies Visualization
ISSN:	0167-7055, 1467-8659
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!