Current Slide

Small screen detected. You are viewing the mobile version of SlideWiki. If you wish to edit slides you will need to use a larger device.

Dimensional Stacking


  • Partitioning of the n-dimensional attribute space in 2-D subspaces, which are ‘stacked’ into each other
  • Partitioning of the attribute value ranges into classes. The important attributes should be used on the outer levels.
  • Adequate for data with ordinal attributes of low cardinality
  • But, difficult to display more than nine dimensions
  • Important to map dimensions appropriately

Speaker notes:

Content Tools

Sources

There are currently no sources for this slide.