Two kinds of targets on-line classification based on incremental SVDD

In this paper, a novel classifier for classification problems, based on increment support vector data description, is proposed. The proposed method is the expand version of increment support vector data description by bring in two classes of sample. Because of the addition of two kinds of sample. This method can reflect the target sample distribution state more complete in super ball space. The results of the proposed approach on artificial data show that the proposed method can increase Classification accuracy.