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Early warning analysis of mental health based on spatial density and rapid clustering

Psychological crisis has become an important problem affecting college students’ mental health. In order to improve the accuracy of college students’ mental health early warning method, this paper proposes a mental health early warning analysis method based on spatial density and fast clustering. The experimental results show that this method can effectively carry out mental health early warning with high accuracy and stability.