Nominal variables. Nominal variables may be two-state (e.g., Gender={Male,Female}) or many-state (i.e., more than two states). A two-state nominal variable is easily represented by transformation into a numeric value (e.g., Male=0, Female=1).
- Numeric and nominal variables can be handled. All the other variables need to be converted into these forms, or should be discarded.
Crossing classes with supplementary nominal variables (that did not take part to building the typology). One tries to identify variables whose modalities cover (and therefore explain) as closely as possible the classes.
To calculate distance between two objects represented by nominal variables, we need to consider the number of category in each variable.
As far as the category utility or mutual information are concerned, all category and feature variables are nominal variables.
 See also: Classification, Distribution, Variance, Attribute, Regression
  
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