High Dimensional Data Visualization Using 3-D Icons

نویسندگان

  • Chenyi Hu
  • Heloise Lynn
  • Yves Simon
چکیده

In this paper we present a method to visualize large amount of high dimensional data. High dimensional data visualization is very important to data analysts since it gives a direct and natural view of data. In our method we use one icon to represent one group of dimensions. Then we choose features of the icon to display the dimensions within each group. We have performed experiments on a real data set from oil industry, and the result is encouraging although there are still some open questions.

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تاریخ انتشار 2008