A hybrid unsupervised machine learning model with spectral clustering and semi-supervised support vector machine for credit risk assessment

• Tao Yu,

  Roles Conceptualization, Formal analysis, Methodology, Writing – original draft

  Affiliations School of Mathematics, Harbin Institute of Technology, Harbin, China, Department of Mathematics, Southern University of Science and Technology, Shenzhen, China

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• Wei Huang,

  Roles Supervision

  Affiliations College of Business, Southern University of Science and Technology, Shenzhen, China, National Center for Applied Mathematics Shenzhen, Southern University of Science and Technology, Shenzhen, China

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• Xin Tang ,

  Roles Software, Writing – review & editing

  * E-mail: tangx6@sustech.edu.cn

  Affiliations College of Business, Southern University of Science and Technology, Shenzhen, China, National Center for Applied Mathematics Shenzhen, Southern University of Science and Technology, Shenzhen, China

  https://orcid.org/0000-0003-1443-3766

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• Duosi Zheng

  Roles Data curation, Resources

  Affiliations College of Business, Southern University of Science and Technology, Shenzhen, China, National Center for Applied Mathematics Shenzhen, Southern University of Science and Technology, Shenzhen, China

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