Project Evaluation of Financial Guarantee Based on Improved Spectral Clustering

Abstract

Reasonable and right decisions are the keys to the successful financing guarantee project, and the core of decision-making is the correct evaluation. The improved spectral clustering algorithm is used to build the financing guarantee project evaluation model, which can avoid the set of scale factor, and reduce the computational complexity of matrix eigenvalue decomposition. The financing guarantee project evaluation model is established by MATLAB software, and the effectiveness and high efficiency of CMSC can be verified through the trainings and simulation experiments.