A Hierarchical Multiple Classifier Learning Algorithm

In this paper we describe a new hierarchical multiple classifier learning algorithm that was developed to provide a tool for classifier construction in medical applications. The new mechanism uses data clustering and sub-class labeling to reduce the overhead of training and enhance the classification accuracy. The results of using this method are compared to a hand-built classifier and to other multiple classifier algorithms.