discriminant classifier (D-Caiman), i.e. as the classical classification methods, able to assign each object to one among the available classes;
class modelling classifier (M-Caiman), which is also able to reject objects, i.e. objects can be evaluated as belonging to none of the available classes, or objects can be considered as confused, i.e. potentially belonging to at least two classes and thus not assigned;
asymmetric classifier (A-Caiman), where the method is focused in modelling a selected class (class A) as distinct from all the other objects not belonging to that class (Not-A).