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Application Research of Q-Type Clustering Model in Financial Data Analysis of Beijing Housing Price

In: Proceedings of the 2022 4th International Conference on Economic Management and Cultural Industry (ICEMCI 2022)

Author

Listed:
  • Ao Dong

    (Shandong university, School of Economics)

Abstract

Under the influence of the socio-economic system, financial development and rising house prices are no longer two separate issues. For a specific regional environment, financial development will, to a certain extent, suppress the rising trend of house prices and contribute to the stable development of the regional economy. Based on the connotation of the role of Q-type clustering method, the trend of financial mechanism is determined, and then based on this, the temporal and spatial characteristics of the rising house prices in Beijing are studied. The Q-type clustering algorithm is combined with a threshold effect analysis model, and the practical value of the defined model is verified based on the results of the analysis of known data.

Suggested Citation

  • Ao Dong, 2023. "Application Research of Q-Type Clustering Model in Financial Data Analysis of Beijing Housing Price," Advances in Economics, Business and Management Research, in: Hrushikesh Mallick & Gaikar Vilas B. & Ong Tze San (ed.), Proceedings of the 2022 4th International Conference on Economic Management and Cultural Industry (ICEMCI 2022), pages 1656-1667, Springer.
    • Handle: RePEc:spr:advbcp:978-94-6463-098-5_187
    DOI: 10.2991/978-94-6463-098-5_187
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