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A new learning algorithm for semi-supervised learning is proposed. The proposed method utilizes a support vector machine to describe domains and a dynamical system to decompose the data space into several labelled disjoint regions. It can classify unlabelled data and predict new unknown data. Effectiveness of the method is verified through simulation results.