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Cheeger Cut Model for the Balanced Data Classification Problem

In this paper we propose a numerical method based on the splitting strategy to solve the Cheeger cut model. In order to improve the classification results, we propose a new self-tuning strategy to choose a robust scaling parameter. Some numerical examples are arranged to illustrate the efficiency of our proposed method.