The study of the Yangtze River Delta urban agglomeration provides a reference for regional construction. We set up a suitable cluster model and a comprehensive evaluation model to evaluate the urban economic development and provide the basis for the government to formulate and adjust the economic measures. We use the heat map of correlation coefficient to eliminate the economic indicators that are less correlated with per capita GDP and use grey correlation analysis to detect the degree of correlation of economic indicators. The optimal method is determined by comparing the results of K-means clustering and fuzzy C-means clustering. In addition, we use principal component analysis to rank the status of urban economic development. The results show that the relationship between the added value of primary industry, the added value of agriculture, forestry, animal husbandry and fishery, and per capita GDP is close to 0. Regional development level is not balanced. Chizhou, Xuancheng, Bengbu, and other cities lag behind in the economic rankings. Finally, it is suggested to reform the laggard cities and try to improve their economic strength from various economic indicators.

中文翻译：

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基于聚类-主成分分析的长三角城市经济发展综合评价

长三角城市群研究可为区域建设提供参考。我们建立了合适的集群模型和综合评价模型，对城市经济发展进行评价，为政府制定和调整经济措施提供依据。我们使用相关系数热图剔除与人均GDP相关度较低的经济指标，并使用灰色相关性分析来检测经济指标的相关程度。通过比较K-means聚类和模糊C-means聚类的结果，确定最优方法。此外，我们采用主成分分析对城市经济发展状况进行排序。结果表明，第一产业增加值、农业增加值、林业、畜牧业和渔业，人均GDP接近于0。区域发展水平不平衡。池州、宣城、蚌埠等城市经济排名落后。最后，建议对落后城市进行改革，从各项经济指标上努力提升其经济实力。