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Hybrid system with spectral clustering and semi-supervised support vector machine and its application to credit risk assessment

  • 演讲者:喻韬(南科大)

  • 时间:2024-01-19 14:00-15:00

  • 地点:理学院大楼M5024

Abstract: This paper introduces an innovative hybrid unsupervised classification method, termed the Two-Stage Hybrid System with Spectral Clustering and Semi-Supervised Support Vector Machine (TSC-SVM). This method adeptly tackles the unsupervised imbalance problem prevalent in credit risk assessment by focusing on global optimal solutions. Additionally, we present a multi-view combined unsupervised approach that effectively mines data for deeper insights and bolsters the robustness of label predictions by harmonizing discrepancies across three different perspectives.