- Work great for numeric attributes.
- Gives out realistic outputs.
- These methods assume statistical independence among spatial data objects.
- Cannot model non-linear rules and cannot symbolic values very well.
Two techniques borrowed from Machine Learning are widely used in this field:
- Learning From Example
- Specialization and Generalization