关键词: 专家域, 模式分类, 多层分类器, 分类器融合

Abstract: In this paper, a new model of multiple layer classifiers integration based on specialists’ fields is introduced, and specialists are the classifiers with different algorithm. The idea of model is derived from diagnosing flow in hospital. At first, n methods are adopted to train single classifier and gain n classifiers, and every classifier is called as specialist. Then using the training set to test every specialist, we gain n specialists’ fields according the result of classification of every specialist. For an unknown sample, we assign it to which specialist’s field it belongs to, and select the specialist on that field to classify this sample. We use UCI standard datasets to test our model, according to experiments our algorithm leads to less error and better performance than other algorithms.

Key words: Specialists’ Fields, Pattern Classification, Multiple Layer Classifiers, Classification Integration