Abstract:

It is an effective way to transform multiclass into binary by using error-correcting output code (ECOC) as a decomposing frame, in which the research of encoding based on data especially attracts attentions. An encoding method for adaptively constructing ECOC is proposed. To achieve this goal, the relativity between each pair of patterns is achieved with the help of confusion matrixes. Then abiding by the Fisher’s principle, the most favorable combination of patterns for classifying is obtained, and a binary partition based on the way of pattern combination and a data driven coding matrix are gotten. Experimental results on UCI datasets and three kinds of HRRP datasets show that the proposed scheme provides a better performance and robustness of classification than the classical encoding strategies.