suppression based immune mechanism to find arepresentative training set in data classification tasks
This article proposes a new classifier {inspired by a biolog-ical immune systems' characteristic{ which also belongs tothe class of k-nearest-neighbors algorithms. Its main fea-ture is a suppression mechanism used to reduce the size of the training set {maintaining the most significative samples{without loosing much capability of generalization.
classification artificial immune systems kdd