Art-based prototype classifier

Prototype classifier is based on representing every cluster by a prototype. All the input patterns that belong to that cluster will have the same label as the prototype. It should be noted that a prototype doesn't have to be only one data. A cluster could be represented by more than one data. In this paper, the ART-based rectangle is used as a prototype. A new tree clustering structure replaces the learning phase of Fuzzy ARTMAP. The obtained clusters are used to form the prototype rectangles. These rectangles will be used in the test phase of the Fuzzy ARTMAP.