Distance Classifier Ensemble Based on Intra-Class and Inter-Class Scatter

Distance classifier ensemble method based on Intra-class and Inter-class Scatter is proposed in this paper. By Bootstrap technology, the training samples are sampled repeatedly to generate several subsample set, define matrix with train set scatter matrix, individual classifier. In ensemble, results integrated relative majority voting method. Experiment tested UCI standard database, experimental show that for distance effective, it superior other methods classification performance.