Grand Tour (data visualisation)

The Grand Tour is a technique developed by Daniel Asimov (1985) which is used to explore multivariate statistical data by means of orthogonal projections onto a series of subspaces defined in two-dimensions. Asimov proposes that subspaces are picked in such a way as to make them dense.[1][2]

References

  1. ↑ Asimov, Daniel. (1985). The grand tour: a tool for viewing multidimensional data. SIAM journal on scientific and statistical computing, 6(1), 128-143.
  2. ↑ Huh, Moon Yul, and Kiyeol Kim. (2002) Visualization of multidimensional data using modifications of the Grand Tour. Journal of Applied Statistics 29.5: 721-728.
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