Hyperspherical Prototypes for Pattern Classification

  title={Hyperspherical Prototypes for Pattern Classification},
  author={Hatem A. Fayed and Amir F. Atiya and Sherif Hashem},
The nearest neighbor method is one of the most widely used pattern classification methods. However its major drawback in practice is the curse of dimensionality. In this paper we propose a new method to alleviate this problem significantly. In this method, we attempt to cover the training patterns of each class with a number of hyperspheres. The method attempts to design hyperspheres as compact as possible, and we pose this as a quadratic optimization problem. We performed several simulation… CONTINUE READING