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Indexed-Points Parallel Coordinates Visualization of Multivariate Correlations | IEEE Journals & Magazine | IEEE Xplore

Indexed-Points Parallel Coordinates Visualization of Multivariate Correlations


Abstract:

We address the problem of visualizing multivariate correlations in parallel coordinates. We focus on multivariate correlation in the form of linear relationships between ...Show More

Abstract:

We address the problem of visualizing multivariate correlations in parallel coordinates. We focus on multivariate correlation in the form of linear relationships between multiple variables. Traditional parallel coordinates are well prepared to show negative correlations between two attributes by distinct visual patterns. However, it is difficult to recognize positive correlations in parallel coordinates. Furthermore, there is no support to highlight multivariate correlations in parallel coordinates. In this paper, we exploit the indexed point representation of p -flats (planes in multidimensional data) to visualize local multivariate correlations in parallel coordinates. Our method yields clear visual signatures for negative and positive correlations alike, and it supports large datasets. All information is shown in a unified parallel coordinates framework, which leads to easy and familiar user interactions for analysts who have experience with traditional parallel coordinates. The usefulness of our method is demonstrated through examples of typical multidimensional datasets.
Published in: IEEE Transactions on Visualization and Computer Graphics ( Volume: 24, Issue: 6, 01 June 2018)
Page(s): 1997 - 2010
Date of Publication: 25 April 2017

ISSN Information:

PubMed ID: 28459690

Funding Agency:


References

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