In this work, we present a novel interpretation of GCM (Generalized Context Model; Nosofsky, 1986) as a locally neighborhood based classifier, where the classification of a stimulus in a class depends on which region in psychological space it belongs. Specifically, it is shown that GCM approximate the domain of a category in the psychological space as the union of a finite set of smaller regions that surround the exemplars, whose shape depends on the parameters chosen. |