Chernoff faces
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Chernoff faces display multivariate data in the shape of a human face. The individual parts, such as eyes, ears, mouth and nose represent values of the variables by their shape, size, placement and orientation. The idea behind using faces is that humans easily recognize faces and notice small changes without difficulty. Chernoff faces handle each variable differently. Because the features of the faces vary in perceived importance, the way in which variables are mapped to the features should be carefully chosen.
[edit] References
- Herman Chernoff (1973). "Using faces to represent points in k-dimensional space graphically". Journal of the American Statistical Association 68 (342): 361–368. doi:.
[edit] External links
- Java visualisation
- Example of urban living conditions in LA
- Example and code for the R statistical software environment
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