Visual Exploration of High-Dimensional Data through Subspace Analysis and Dynamic Projections

We introduce a novel interactive framework for visualizing and exploring high‐dimensional datasets based on subspace analysis and dynamic projections. We assume the high‐dimensional dataset can be represented by a mixture of low‐dimensional linear subspaces with mixed dimensions, and provide a metho...

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Vydáno v:Computer graphics forum Ročník 34; číslo 3; s. 271 - 280
Hlavní autoři: Liu, S., Wang, B., Thiagarajan, J. J., Bremer, P.-T., Pascucci, V.
Médium: Journal Article
Jazyk:angličtina
Vydáno: Oxford Blackwell Publishing Ltd 01.06.2015
Témata:
Animated
Categories and Subject Descriptors (according to ACM CCS)
Computer graphics
Data analysis
Dynamic tests
Dynamical systems
Dynamics
Exploration
HPC, Data Management
I.3.3 [Computer Graphics]: Picture/Image Generation-Line and curve generation
MATHEMATICS AND COMPUTING
Navigation
Projection
Studies
Subspaces
Visualization
ISSN:0167-7055, 1467-8659
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Shrnutí:We introduce a novel interactive framework for visualizing and exploring high‐dimensional datasets based on subspace analysis and dynamic projections. We assume the high‐dimensional dataset can be represented by a mixture of low‐dimensional linear subspaces with mixed dimensions, and provide a method to reliably estimate the intrinsic dimension and linear basis of each subspace extracted from the subspace clustering. Subsequently, we use these bases to define unique 2D linear projections as viewpoints from which to visualize the data. To understand the relationships among the different projections and to discover hidden patterns, we connect these projections through dynamic projections that create smooth animated transitions between pairs of projections. We introduce the view transition graph, which provides flexible navigation among these projections to facilitate an intuitive exploration. Finally, we provide detailed comparisons with related systems, and use real‐world examples to demonstrate the novelty and usability of our proposed framework.
Bibliografie:ArticleID:CGF12639
ark:/67375/WNG-1SBR4R3Z-4
istex:4437B52B526211B76A840CED83934E799A0F156C
Supporting Information
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 14
ObjectType-Article-1
ObjectType-Feature-2
content type line 23
DOE-UTAH-PASCUCCI-0003
NA0002375
USDOE National Nuclear Security Administration (NNSA)
ISSN:0167-7055
1467-8659
DOI:10.1111/cgf.12639