A rank-by-feature framework for interactive exploration of multidimensional data

@article{Seo2005ARF,
  title={A rank-by-feature framework for interactive exploration of multidimensional data},
  author={Jinwook Seo and Ben Shneiderman},
  journal={Information Visualization},
  year={2005},
  volume={4},
  pages={96-113}
}
Interactive exploration of multidimensional data sets is challenging because: (1) it is difficult to comprehend patterns in more than three dimensions, and (2) current systems often are a patchwork of graphical and statistical methods leaving many researchers uncertain about how to explore their data in an orderly manner. We offer a set of principles and a novel rank-by-feature framework that could enable users to better understand distributions in one (1D) or two dimensions (2D), and then… CONTINUE READING
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