Research on enterprise comprehensive financial analysis based on clustering algorithm

Tao Ma

doi:10.1117/12.2670403

1 June 2023 Research on enterprise comprehensive financial analysis based on clustering algorithm

Tao Ma

Proceedings Volume 12625, International Conference on Mathematics, Modeling, and Computer Science (MMCS2022); 126251V (2023) https://doi.org/10.1117/12.2670403
Event: International Conference on Mathematics, Modeling and Computer Science (MMCS2022),, 2022, Wuhan, China

Abstract

Under the development trend of economic globalization, how to accurately predict and judge the financial distress of enterprises has always been the main problem discussed by enterprise managers and academic circles. In recent years, the comprehensive financial analysis of enterprises shows that advanced technology platforms such as artificial intelligence and cloud computing should be used for in-depth analysis, which can not only excavate more valuable data information, but also ensure the perfection and accuracy of the final analysis results. Therefore, based on the understanding of the Kmeans algorithm and the current comprehensive financial analysis of enterprises, this paper deeply discusses the financial operation of listed companies with the K-means algorithm as the core. The final experimental results prove that the wide application of k-means clustering algorithm can provide a new idea for the comprehensive financial analysis and management of modern enterprises.

Citation Download Citation

Tao Ma "Research on enterprise comprehensive financial analysis based on clustering algorithm", Proc. SPIE 12625, International Conference on Mathematics, Modeling, and Computer Science (MMCS2022), 126251V (1 June 2023); https://doi.org/10.1117/12.2670403

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