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.
Index Terms:
Multiple Classifier, Data Clustering, Machine Learning
Citation:
Yu-Yu Chou, Linda G. Shapiro, "A Hierarchical Multiple Classifier Learning Algorithm," icpr, vol. 2, pp.2152, 15th International Conference on Pattern Recognition (ICPR'00) - Volume 2, 2000