Urban atmospheric pollution joint defense and joint control region division method based on data mining

The invention relates to air pollution prevention and control, in particular to an urban air pollution joint defense and joint control area division method based on data mining, a frequent item set technology in data mining is used as a measurement method of air pollution similarity distance between cities, and then a hierarchical clustering method is adopted to identify and divide a joint defenseand joint control area. According to the method, only the atmospheric pollution data needs to be mined, the pollution mode between cities is found to determine the pollution similarity distance of the cities, and the method based on data mining does not need additional geographic data, has no requirement for atmospheric pollution data distribution and is insensitive to missing values and abnormalvalues of the data. And model parameters are few, complex calculation is not needed, and implementation is easy. The method has the advantages of few model parameters, strong interpretability, high accuracy, few occupied reso