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...

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Bibliographic Details

Published in:	Computer graphics forum Vol. 35; no. 3; pp. 1 - 10
Main Authors:	Liu, S., Bremer, P.-T, Jayaraman, J. J., Wang, B., Summa, B., Pascucci, V.
Format:	Journal Article
Language:	English
Published:	Oxford Blackwell Publishing Ltd 01.06.2016 Wiley
Subjects:	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 Access:	Get full text
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