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

dc.contributor.authorLiu, Shusenen_US
dc.contributor.authorWang, Beien_US
dc.contributor.authorThiagarajan, Jayaraman J.en_US
dc.contributor.authorBremer, Peer-Timoen_US
dc.contributor.authorPascucci, Valerioen_US
dc.contributor.editorH. Carr, K.-L. Ma, and G. Santuccien_US
dc.date.accessioned2015-05-22T12:51:33Z
dc.date.available2015-05-22T12:51:33Z
dc.date.issued2015en_US
dc.description.abstractWe 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.en_US
dc.description.number3en_US
dc.description.sectionheadersHigh-dimensional Visualizationen_US
dc.description.seriesinformationComputer Graphics Forumen_US
dc.description.volume34en_US
dc.identifier.doi10.1111/cgf.12639en_US
dc.identifier.pages271-280en_US
dc.identifier.urihttps://doi.org/10.1111/cgf.12639en_US
dc.publisherThe Eurographics Association and John Wiley & Sons Ltd.en_US
dc.subjectI.3.3 [Computer Graphics]en_US
dc.subjectPicture/Image Generationen_US
dc.subjectLine and curve generationen_US
dc.titleVisual Exploration of High-Dimensional Data through Subspace Analysis and Dynamic Projectionsen_US
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