Multivariate Continuous Data — Parallel Coordinates

  • Rida Moustafa
  • Ed Wegman
Part of the Statistics and Computing book series (SCO)

7.7 Summary

This chapter has introduced a smooth modified version of the parallel coordinate plot. The modifications are based on a parameter transformation process and its geometric structure. The mathematics behind the new plot has been explained with views that show how patterns may be detected in a dataset. The smooth curves have several significant features, including a norm-reducing property and orthogonal crossings of the axes.

Although not explicitly mentioned, the analysis of the datasets in the two examples needed a lot of interactions with the software. Actions like reordering and rescaling of axes (cf. Section 4.4.3) or the application of density estimation procedures are necessary steps towards a meaningful and presentable visualization.

Keywords

Gear Ratio Cartesian Space Hyperspectral Imagery Massive Dataset Parallel Coordinate Plot 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media, LLC 2006

Authors and Affiliations

  • Rida Moustafa
  • Ed Wegman

There are no affiliations available

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