Adaptable Radial Axes Plots for Improved Multivariate Data Visualization
| dc.contributor.author | Rubio-Sánchez, Manuel | en_US |
| dc.contributor.author | Sanchez, Alberto | en_US |
| dc.contributor.author | Lehmann, Dirk J. | en_US |
| dc.contributor.editor | Heer, Jeffrey and Ropinski, Timo and van Wijk, Jarke | en_US |
| dc.date.accessioned | 2017-06-12T05:22:53Z | |
| dc.date.available | 2017-06-12T05:22:53Z | |
| dc.date.issued | 2017 | |
| dc.description.abstract | Radial axes plots are multivariate visualization techniques that extend scatterplots in order to represent high-dimensional data as points on an observable display. Well-known methods include star coordinates or principal component biplots, which represent data attributes as vectors that de ne axes, and produce linear dimensionality reduction mappings. In this paper we propose a hybrid approach that bridges the gap between star coordinates and principal component biplots, which we denominate adaptable radial axes plots . It is based on solving convex optimization problems where users can: (a) update the axis vectors interactively, as in star coordinates, while producing mappings that enable to estimate attribute values optimally through labeled axes, similarly to principal component biplots; (b) use different norms in order to explore additional nonlinear mappings of the data; and (c) include weights and constraints in the optimization problems for sorting the data along one axis. The result is a exible technique that complements, extends, and enhances current radial methods for data analysis. | en_US |
| dc.description.number | 3 | |
| dc.description.sectionheaders | Multi and High Dimensional Visualization | |
| dc.description.seriesinformation | Computer Graphics Forum | |
| dc.description.volume | 36 | |
| dc.identifier.doi | 10.1111/cgf.13196 | |
| dc.identifier.issn | 1467-8659 | |
| dc.identifier.pages | 389-399 | |
| dc.identifier.uri | https://doi.org/10.1111/cgf.13196 | |
| dc.identifier.uri | https://diglib.eg.org:443/handle/10.1111/cgf13196 | |
| dc.publisher | The Eurographics Association and John Wiley & Sons Ltd. | en_US |
| dc.subject | [Human | |
| dc.subject | centered computing] | |
| dc.subject | Visualization | |
| dc.subject | Visualization techniques [Probability and statistics] | |
| dc.subject | Statistical paradigms | |
| dc.subject | Statistical graphics [Human | |
| dc.subject | centered computing] | |
| dc.subject | Visualization | |
| dc.subject | Visualization theory | |
| dc.subject | concepts and paradigms [Probability and statistics] | |
| dc.subject | Statistical paradigms | |
| dc.subject | Exploratory data analysis | |
| dc.title | Adaptable Radial Axes Plots for Improved Multivariate Data Visualization | en_US |