Application of Multi Data Dtream Clustering Based on Synchronous Correlation in the Evaluation of Air Quality
According to the characteristics of air quality monitoring data, a clustering algorithm of multiple data streams based on synchronous correlation is presented. On the basis of the national environmental quality standards and the actual monitoring data, the air quality is evaluated and the correlation about the air pollution index is analysed. The result shows that the application of multi data stream clustering based on the synchronous correlation is feasible.