The K-Nearest Neighbor Attractor-based Neural Network and the Optimal Linear Discriminatory Filter Classifier

The K-Nearest Neighbor Attractor-based Neural Network and the Optimal Linear Discriminatory Filter Classifier are feature-based classifiers that are trained via supervised learning using a training set of feature vectors. They were developed by the author and successfully used in several applications where they were "and-ed." Results using these classifiers have been published, but comprehensive descriptions of them have not appeared in the literature. This paper presents their detailed descriptions