A hierarchical multiple classifier learning algorithm
Yu-Yu Chou, Linda G. Shapiro · 2002
We describe a hierarchical multiple classifier learning algorithm that was developed to provide a tool for classifier construction in medical applications. The 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.